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ImpactMojo 101 Series · Free Forever
Public
Policy
101
How governments decide what to do, choose their tools, carry decisions out and learn whether they worked: a foundational course for development practitioners in South Asia
100 SlidesSouth Asia FocusFree ForeverCabinet to Panchayat
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What we cover
01
What public policy is
Slides 3–10
02
The policy cycle
Slides 11–19
03
Theories that complicate the cycle
Slides 20–28
04
Policy instruments
Slides 29–38
05
How policy is made in India
Slides 39–49
06
Implementation and state capacity
Slides 50–58
07
Evidence in policy
Slides 59–67
08
South Asian cases
Slides 68–77
09
Stakeholders and political economy
Slides 78–85
10
A practitioner's toolkit
Slides 86–92
11
Writing a policy brief, and where next
Slides 93–99
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01
Section One
What public policy is
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Public policy is what reaches a household, or fails to
A woman in a village in Jharkhand collects rice at a ration shop after her thumbprint is checked against a national database. A child in Tamil Nadu eats a cooked meal at school. A shopkeeper in Delhi stops handing out thin plastic carry bags. Each of these moments is the end of a long chain of public decisions: a law, a set of rules, a budget line, a court order, an officer's instruction. Public policy is the name for that chain, and this course follows it from the Cabinet room to the ration shop.
What this course covers
How issues reach government, how options are chosen, which tools governments use, how decisions are carried out by real officials, and how anyone can tell whether a policy worked.
Why practitioners need it
Almost every programme an NGO or funder runs sits inside a policy it did not write. Knowing how that policy is made and changed is how a pilot becomes a scheme, and how a scheme gets fixed.
Facts in this deck are stated as of October 2026. Laws, schemes and numbers change, so check the latest text before you rely on any of them.
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Whatever governments choose to do or not to do
The most quoted definition comes from the American political scientist Thomas Dye: public policy is "whatever governments choose to do or not to do" (Dye, Understanding Public Policy, 1972, p. 2). It is short on purpose. It includes laws and spending, and it also includes decisions to leave a problem alone. Critics call it too broad to be useful, because almost anything a government does then counts as policy.
Public policy (working definition for this course)
A course of action, or a deliberate inaction, adopted by a public authority to deal with a problem, expressed through law, rules, budgets, programmes, orders or official statements, and carried out by public officials.
Choice: policy involves a decision among options, even when the decision is to wait.
Authority: it is backed by the state's power to command, spend, inform or organise, which private action lacks.
Source: Dye's definition as cited in Wikipedia, Public policy (Dye 1972: 2).
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One policy, many legal forms
In South Asia a single policy usually lives in several documents at once, each with a different legal force. Practitioners who read only the scheme guidelines often miss the Act that creates the entitlement, or the court order that set the minimum standard. The table below shows the main forms with Indian examples checked for this course.
FormWhat it doesIndian example
Act of ParliamentCreates rights, duties and institutions; bindingVB-G RAM G Act 2025, s5: 125 days of guaranteed work a year
Rules under an ActDetail made by the executive under a power in the ActPlastic Waste Management Amendment Rules 2021 (notified 12 August 2021)
SchemeA plan of spending and delivery, often made under an ActEach State must notify a Scheme within six months (VB-G RAM G Act, s3)
Executive resolutionCreates bodies or policies without a statuteCabinet resolution constituting NITI Aayog, 1 January 2015
Court orderDirects the state to act on a rightSupreme Court order of 28 November 2001 on cooked midday meals
Always ask: which document creates the right, and which only describes how it will be delivered? The answer decides what a citizen can enforce.
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The classic reasons for public action
Economists and political scientists give several reasons why a problem becomes a public responsibility. These are reasons to consider public action. None of them proves that a particular government programme will work better than doing nothing, which is a separate question this course returns to in Sections 6 and 7.
  • Public goods: things like flood protection or disease surveillance that markets underprovide because people cannot be excluded.
  • Externalities: costs or benefits that fall on others, such as littered plastic or a child's vaccination protecting neighbours.
  • Information gaps: buyers cannot judge food safety or medicine quality on their own.
  • Equity and rights: a society may decide that no one should go without food or basic schooling, whatever the market does.
In practice the reason a government gives shapes the tool it picks: a rights argument points to an entitlement law, an externality argument to a tax or a ban.
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Deciding not to act is also a policy
The second half of Dye's definition matters in practice. When a government keeps an issue off its agenda, leaves a law without rules, or lets a scheme run without evaluation, that is a choice with consequences. Political scientists call issues that never reach a formal decision non-decisions. They are hard to study because nothing is written down.
Visible inaction
A law passed with no rules notified, so its rights cannot be claimed. A bill introduced and allowed to lapse. A committee report that receives no action taken reply.
Invisible inaction
A problem that affects people with little political voice is never discussed at all. No file is opened, so no record exists to show the choice was made.
Practical habit: when you study a policy problem, list what the government has not done as carefully as what it has done. Gaps are often where advocacy and research can add most.
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Who makes policy in South Asia
Policy is made by many actors with different powers. Formal authority sits with the executive, the legislature and the courts. Real influence also comes from the bureaucracy, state and local governments, parties, donors, business, civil society and the media. Section 9 shows how to map them for a specific issue.
ActorMain leverExample in this course
Union Cabinet and ministriesDrafts laws, rules, schemes and budgetsTransaction of Business Rules 1961, rule 4 consultations
Parliament and its committeesPasses laws, scrutinises bills and budgets16% of bills referred to committees in the 17th Lok Sabha
State governmentsLegislate on State List subjects; implement most schemesStates notify the VB-G RAM G Scheme and pay 40% (60:40 States)
CourtsInterpret rights; issue directions in PILsPUCL v Union of India, cooked midday meals (2001)
Frontline officialsExercise discretion in deliveryLipsky's street-level bureaucrats
The same pattern holds across the region: Pakistan's provinces gained education, health and social welfare functions under the Eighteenth Amendment of 2010.
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Every policy trades off values
Policy choices rarely pit good against bad. They pit good against good: speed against care, efficiency against equity, a tight target against wide coverage. The same word can also mean different things to different sides: fairness to a taxpayer may mean paying only for the needy, while fairness to a farm worker may mean a benefit nobody has to prove they deserve.
  • Efficiency: the most outcome per rupee.
  • Equity: who gains and who bears the cost.
  • Liberty: how far the state restricts choice.
  • Security: protection from shocks and risk.
  • Accountability: whether someone can be made to answer.
  • Feasibility: whether the state can actually deliver it.
Example from this course: biometric authentication in the ration system trades leakage control (efficiency) against the risk of turning away eligible families (equity). Section 8 shows the evidence on both sides.
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02
Section Two
The policy cycle
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From Lasswell's seven functions to the five-stage cycle
In 1956 the political scientist Harold Lasswell divided the decision process into seven functions: intelligence, recommendation, prescription, invocation, application, appraisal and termination. Later textbooks condensed his list into the familiar policy cycle. The stages give a common vocabulary for asking where a policy is, and what kind of work it needs next.
01
Agenda setting: a problem gets official attention
→
02
Formulation: options are designed and compared
→
03
Adoption: an authority decides
→
04
Implementation: officials carry it out
→
05
Evaluation: results are judged and fed back
Strength: a simple map that fits how ministries, donors and evaluators already organise work.
Weakness: real policy rarely moves in order. Section 3 covers the theories built to correct it.
Sources: Conflict Research Consortium summary of Lasswell, The Decision Process (1956); Wikipedia, Public policy.
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Agenda setting: how a problem gets attention
Thousands of problems compete for a government's attention and only a few get it. Scholars distinguish the broad public agenda, the issues people talk about, from the institutional agenda, the issues a Cabinet, legislature or court is actually considering. Moving an issue from the first to the second is the purpose of most advocacy.
  • Crises: a drought, an epidemic or a financial shock.
  • Elections and manifestos: promises that a new government must be seen to keep.
  • Data: a survey round or audit report that shows a problem is worse than assumed.
  • Courts: a PIL can force an issue onto every state's agenda at once.
  • Media and movements: sustained coverage or protest.
  • Donors and global targets: commitments made abroad that need domestic action.
Example: the Supreme Court's order of 28 November 2001 in PUCL v Union of India put cooked midday meals on the agenda of every state government, including those that had not planned them.
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Formulation: designing options inside government
Formulation turns a problem into a proposal. In India the formal route runs through the ministry that owns the subject, which must consult other departments before a proposal goes further. Rule 4 of the Government of India (Transaction of Business) Rules 1961, as amended to 13 January 2025 sets out the main consultations, and they explain why a draft often changes before anyone outside government sees it.
Who must be consultedOn what (rule 4)Why it matters for design
Any department affectedCases that concern more than one department (4(1))Overlapping mandates must be settled first
Ministry of FinanceOrders with a financial bearing, new spending, posts (4(2))Cost and fiscal space shape what survives
Ministry of LawProposals for legislation; general rules and orders (4(3))Legal form and constitutional fit
Department of Personnel and TrainingRecruitment and service conditions (4(4))Staffing rules for new bodies
Ministry of External AffairsMatters affecting external relations (4(5))Treaty and foreign aid implications
Source: Government of India (Transaction of Business) Rules 1961, as amended to 13 January 2025, rule 4.
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Adoption: who has the power to decide
A proposal becomes policy only when an authority with legal power adopts it. Under Article 74(1) of the Constitution the Council of Ministers, headed by the Prime Minister, aids and advises the President, who acts on that advice. The Second Schedule to the Transaction of Business Rules lists the cases that must go to the full Cabinet, starting with "cases involving legislation including the issue of Ordinances".
01
Ministry drafts and consults
→
02
Cabinet approves the bill or decision
→
03
Parliament passes the bill
→
04
President assents; the Act is notified
→
05
Rules, schemes and guidelines follow
Executive decisions
Schemes, resolutions and many rules are adopted by the executive alone, within powers already given by law or the Constitution.
Legislative decisions
New rights and duties need an Act. Parliament can amend, delay or refer the bill to a committee before passing it.
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Implementation: where most policies succeed or fail
Adoption fixes what should happen. Implementation is what does happen. In India most social policy is delivered by state governments and local bodies even when the Union designs and funds it. The VB-G RAM G Act 2025 shows the division of labour written into law: the Union sets the framework and the normative allocation, each State must notify its own Scheme within six months of commencement (s3), and Gram Panchayats prepare Viksit Gram Panchayat Plans from which works originate (s4).
  • Union: framework, funds, rules, monitoring
  • State: Scheme, staff, wage payment, unemployment allowance
  • Panchayat: registration, planning, execution of works
  • Frontline staff: deciding whose work demand is recorded and when
  • Banks and payment systems: whether money arrives on time
  • Citizens: whether they know the entitlement and claim it
Section 6 is about what goes wrong at this stage, and why designing for implementation from the first draft is cheaper than fixing it later.
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Evaluation: learning whether the policy worked
Evaluation asks whether a policy did what it promised, at what cost, and for whom. India's main government evaluation body is the Development Monitoring and Evaluation Office (DMEO), an attached office of NITI Aayog constituted in September 2015 by merging the Programme Evaluation Office and the Independent Evaluation Office. To inform the Fifteenth Finance Commission's deliberations, the Ministry of Finance entrusted DMEO with evaluations of Centrally Sponsored Schemes, reported sector by sector; the Women and Child Development report is dated March 2021.
Sept 2015
DMEO constituted (PEO and IEO merged)
DMEO website
March 2021
CSS evaluation, Women & Child Development sector
DMEO, analysis by IPE Global
12
States and UTs covered by that report's fieldwork
DMEO, CSS evaluation, WCD sector, 2021
Evaluation is useful only if it reaches the next decision. Linking scheme renewal to evaluation, as in the Finance Commission cycle, is one way to make that happen.
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The cycle applied: from MGNREGA to VB-G RAM G
The replacement of India's rural employment guarantee shows every stage of the cycle. The table maps the steps that can be checked in public documents. It does not try to explain why the change happened, which needs the theories in Section 3 and the political economy tools in Section 9.
StageWhat happenedSource
Earlier policyNREGA 2005 guaranteed at least 100 days a year (s3)National Rural Employment Guarantee Act 2005 (No. 42 of 2005)
AdoptionVB-G RAM G Act enacted, Act No. 36 of 2025, dated 20 December 2025VB-G RAM G Act 2025 (Act No. 36 of 2025)
CommencementMinistry of Rural Development notification S.O. 2382(E) of 11 May 2026: in force from 1 July 2026VB-G RAM G Act 2025 (Act No. 36 of 2025), India Code footnote
RepealMGNREGA repealed from the appointed date, with savings for past acts (s37)VB-G RAM G Act 2025 (Act No. 36 of 2025)
ImplementationStates to notify Schemes within six months (s3)VB-G RAM G Act 2025 (Act No. 36 of 2025)
EvaluationToo early for evidence on outcomes as of October 2026None yet
Treat any claim about the new Act's effects with care until data from at least one full financial year are published.
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What the cycle is good for, and where it misleads
The stage model is a teaching device, and it is useful for organising a policy analysis or a monitoring plan. It misleads when it is read as a description of how policy really moves. Stages overlap, decisions are revisited, and implementation often reshapes the policy so much that the officials who carry it out are, in effect, still formulating it.
Use it to
Locate where a policy is; plan who to engage at each stage; design an evaluation that tests the policy's own logic; structure a policy brief.
Do not use it to
Assume problems are solved in order; predict when change will come; ignore power, chance and timing; treat the official decision as the end of politics.
Section 3 introduces three theories that each correct one weakness of the cycle: Lindblom on small steps, Kingdon on timing, and Baumgartner and Jones on sudden change.
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03
Section Three
Theories that complicate the cycle
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The rational model and its limits
The policy cycle carries a hidden assumption: that decision makers define a goal, list every option, estimate the consequences of each, and choose the best. This is the rational-comprehensive model. It is a useful benchmark for an analyst. As a description of how governments decide, it fails, because no ministry has the time, information or agreement on goals that the model needs.
What the rational model assumes
Clear and agreed objectives; a full list of alternatives; reliable predictions of each option's effects; one decision maker who chooses.
What governments actually face
Contested goals across departments and parties; limited time; patchy data; many actors, each with a veto at some point; pressure to act before analysis is complete.
Three theories take that gap seriously. Each gives a practitioner a different question to ask about a policy problem.
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Lindblom: the science of muddling through
Charles Lindblom's article "The Science of 'Muddling Through'" (Public Administration Review 19(2), 1959) contrasted the rational-comprehensive, or root, method with the method of successive limited comparisons, the branch method. Administrators, he argued, look mainly at options that differ only slightly from current policy, and judge a policy partly by whether the people involved can agree on it.
Why small steps: few options to analyse, mistakes are small and reversible, and agreement is easier to reach than agreement on ultimate goals.
The critique: small steps favour the status quo and those it already serves. When a problem needs a large change, incrementalism can delay it.
Administrators usually look only at policies that differ in relatively small degree from the policies currently in effect.
Summary of Lindblom (1959), Texas Politics, University of Texas at Austin
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Last year's budget is the best predictor of this year's
Incremental thinking is easy to see in public budgets. Departments usually start from the previous year's allocation and argue over the change, because rebuilding every line from zero each year is beyond any finance ministry. The example below is invented for teaching; it shows the logic, and its numbers come from no real budget.
Budget line (Illustrative)Last year (Rs crore)This year (Rs crore)Change
Scheme A, established1,0001,060+6%
Scheme B, established400420+5%
Scheme C, new pilot025new
Scheme D, under review3003000%
Implication for practitioners: a pilot that asks for a small new line has better odds than a proposal that requires cutting an established scheme.
Implication for evaluators: because cuts are rare, evidence that a scheme fails often changes its design more than its budget.
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Kingdon: problems, policies and politics
John Kingdon's Agendas, Alternatives, and Public Policies (first published 1984) asked why some issues reach the agenda and others do not. His answer is that three largely separate streams flow through government. Change becomes possible when they meet in a policy window, and someone is ready to join them.
  • Problem stream: conditions come to be seen as problems needing action, often through data, a crisis or feedback from programmes.
  • Policy stream: experts, officials and advocates develop and refine possible solutions, many of which wait years for use.
  • Politics stream: public mood, elections, changes of government and pressure from organised interests.
  • Policy entrepreneurs: people who couple a ready solution to a recognised problem when the politics allow.
Kingdon's practical lesson: have a worked-out solution ready before the window opens, because windows close quickly. Source: Wikipedia, Multiple streams framework; Open Library record for Kingdon (1984).
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A reading of India's 1991 reforms through three streams
The 1991 reforms are often used to illustrate a policy window. The facts below are documented; the mapping onto Kingdon's streams is an interpretation offered for teaching, and other readings are possible. The point is the method: separate the problem, the available ideas and the politics, then ask what joined them.
Stream1991 (documented facts)How it fits the framework
ProblemReserves of about Rs 2,500 crore would finance imports for a mere fortnight (Budget speech, 24 July 1991); the RBI pledged gold with the Bank of England to raise loansA visible crisis made the problem impossible to ignore
PolicyProposals to dismantle industrial licensing and open sectors to foreign investmentIdeas debated for years were ready to use
PoliticsA government barely a month in office; exchange rate adjustments on 1 and 3 July 1991 were the first stepsA short window in which major change was acceptable
Sources for the facts: Budget speech 1991-92 (24 July 1991); RBI. Ask the same three questions of any reform you study, and look for who coupled the streams.
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Baumgartner and Jones: long calm, sudden change
Frank Baumgartner and Bryan Jones, in Agendas and Instability in American Politics (1993), noticed that most policies stay almost unchanged for long periods and then shift sharply. Their explanation combines limited attention with power. A small policy community keeps an issue quiet by defining it as technical or settled. Change comes when the issue's policy image is redefined and it moves to a new venue where different people decide.
Policy image
How an issue is portrayed and understood: as a technical matter, a question of rights, a scandal, a fiscal burden.
Venue
The institution where the issue is decided: a ministry, a parliamentary committee, a court, a state government.
Source: Paul Cairney, Understanding Public Policy, chapter 9, summarising Baumgartner and Jones (1993). Excluded groups who lose in one venue have an incentive to go "venue shopping" in another.
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The right to food moves into the Supreme Court
A clear South Asian example of venue shift is the right to food case. In 2001 the People's Union for Civil Liberties filed a writ petition (WP(C) 196 of 2001). On 28 November 2001 the Supreme Court directed governments to provide every child in government and government-assisted primary schools a prepared midday meal with at least 300 calories and 8–12 grams of protein, for at least 200 days a year. States serving dry rations were told to switch to cooked meals in phases.
What changed
The issue's image moved from a welfare scheme to a constitutional right, and its venue moved from state food and education departments to the Supreme Court, which kept monitoring compliance.
What it did not settle
Its interim order of 2 May 2003 recorded that Bihar, Jharkhand and Uttar Pradesh had not begun, and directed them to start in the poorest districts. A new venue changes the decision; delivery still depends on states.
Source: Supreme Court interim order of 2 May 2003 in PUCL v Union of India, reciting the order of 28 November 2001.
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Four ways to explain policy change
None of these theories is right on its own. Each draws attention to a different force, and a good analysis uses more than one. The table summarises what each explains well and what it misses, with the question it suggests for your own work.
TheoryExplains wellMissesQuestion for practitioners
Policy cycleThe sequence of official tasksPower, timing, overlapWhich stage is this policy at?
Incrementalism (Lindblom 1959)Stability and small adjustmentsLarge, rapid changeWhat small change could gain agreement?
Multiple streams (Kingdon 1984)Why issues suddenly reach the agendaImplementation; non-individual actorsIs a solution ready for the next window?
Punctuated equilibrium (1993)Long stability broken by burstsExact timingWho controls the issue's image and venue?
Political economy analysis (Section 9) adds the missing question in all four: who gains and who loses, and what will they do about it?
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04
Section Four
Policy instruments
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Hood's four resources of government
Once a government decides to act, it must choose a tool. Christopher Hood's The Tools of Government (1983) grouped the tools by the resource each one uses. The scheme is often remembered as NATO: nodality, authority, treasure and organisation. Every instrument in this section draws on at least one of the four.
ResourceHood's meaningSouth Asian example
NodalityBeing at the centre of information networksPublic campaigns such as Give It Up for the LPG subsidy
AuthorityLegitimate power to command or prohibitBan on identified single-use plastic items from 1 July 2022
TreasureMoney or exchangeable assetsDirect benefit transfers; BISP cash transfers in Pakistan
OrganisationPeople, buildings, equipment the state controlsRation shops, anganwadi centres, public schools
Source: IPPA teaching resource on Hood (1983). The quickest diagnostic for any scheme: which resource does it rely on, and does the state have enough of it?
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From laissez faire to mandate
India's Economic Survey 2018-19 placed policies on a spectrum by how strongly they push behaviour: laissez faire, nudge, incentivise and mandate. Its Figure 2 draws each policy as a bar running from laissez faire to the furthest level it reaches. The table follows those bars; whether each placement is right is a good discussion question.
Furthest level reachedIndian examples in the Survey's Figure 2What the state does
Laissez faireGive It UpLeaves the choice to the person, with an appeal
NudgeAadhaar and Jan Dhan Yojana (part way); Beti Bachao, Beti Padhao; Swachh Bharat MissionChanges how a choice is presented or what is seen as normal
IncentiviseTaxes on tobacco (part way)Changes the price or payoff of a choice
MandateCompulsory voting in panchayat elections in some states (part way); alcohol bans in some statesRequires or forbids the behaviour
Source: Economic Survey 2018-19, Vol I, chapter 2, Figure 2, Policies spanning the influence spectrum in India. Stronger tools are not better tools; they cost more to enforce and restrict more choice.
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Regulation: rules backed by penalties
Regulation sets rules and punishes breaches. It looks cheap, because the government pays little directly. Its real cost sits in inspection and enforcement. India's ban on identified single-use plastic items is a good example. The Ministry of Environment, Forest and Climate Change notified the Plastic Waste Management Amendment Rules 2021 on 12 August 2021, prohibiting identified items from 1 July 2022.
What makes it work
A clear list of banned items; a start date announced about ten months ahead; pollution control boards given powers to act; alternatives available at similar cost.
Where it weakens
Thousands of small sellers to inspect; enforcement left to bodies with few staff; demand that does not fall when supply is pushed underground.
Source: PIB backgrounder, 1 July 2022, which also notes enforcement powers under section 5 of the Environment (Protection) Act 1986 and state special task forces.
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Subsidies: who actually benefits
Price subsidies are popular because they look universal. Their benefits often go to people who consume more, or leak before reaching anyone. The Economic Survey 2014-15 put numbers on this using the NSS 68th round (2011-12) and its own estimates. The chart shows the share of the public distribution system (PDS) allocation estimated as lost to leakage, by commodity.
Share of PDS allocation lost as leakage, by commodity (%)
Economic Survey 2014-15, Vol I, chapter 3, Table 3.1
The same table found that the bottom half of households consumed only 25 per cent of LPG, and the bottom quintile captured 10 per cent of electricity subsidies against 37 per cent for the top quintile.
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Cash and in-kind transfers
Transfers give households resources directly. In-kind transfers, such as grain through ration shops, guarantee a specific good but need a physical supply chain. Cash transfers are cheaper to deliver and let households choose, but their value falls with inflation and they need bank access. India's Economic Survey 2014-15 argued that the JAM trinity, Jan Dhan accounts, Aadhaar and mobile phones, could make direct cash transfers possible at scale.
In kind
Protects against price spikes; shows clearly what the state provides; can target nutrition. Risks: leakage in storage and transport, poor quality, ration shop discretion.
Cash
Lower delivery cost; recipient choice; faster to scale. Risks: exclusion if accounts or authentication fail, erosion by inflation, last-mile access to cash.
Section 8 looks at the evidence on India's move toward direct benefit transfer, which is more mixed than either side of the debate usually admits.
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Conditional and unconditional transfers
A conditional transfer pays only if the household does something, such as keeping a child in school or attending health check-ups. An unconditional transfer pays regardless. Pakistan's Benazir Income Support Programme (BISP) runs both kinds: the Benazir Kafaalat programme makes unconditional payments, while Benazir Taleemi Wazaif (education stipends) and the Nashonuma programme (maternal and child health) attach conditions.
  • For conditions: they target a specific behaviour, can build political support among taxpayers, and link cash to services.
  • Cost: someone has to verify compliance, which needs staff and data.
  • Against conditions: the poorest may be least able to comply, often because the school or clinic is far or poor.
  • Design rule: never condition a payment on a service the state cannot supply.
Source for BISP components: BISP programme pages (bisp.gov.pk), October 2026.
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Information and persuasion: the Give It Up campaign
Governments also act by informing and persuading. India's Give It Up campaign, launched by the Prime Minister, asked LPG consumers who could afford the market price to surrender their cooking gas subsidy voluntarily. Each consumer who gave it up was linked to a BPL household that received an LPG connection in turn. By 28 July 2015, 13.9 lakh consumers had given it up; by 1 April 2023 the Ministry of Petroleum and Natural Gas put the total at nearly 1.13 crore.
Why it could work
Low cost; appeals to social norms and public spirit; uses the state's position at the centre of information (Hood's nodality).
Its limits
Relies on opt-in, so inertia keeps most eligible-but-better-off households in the scheme. The Economic Survey 2018-19 suggested making the default opt-out instead.
Sources: PIB, Lok Sabha reply of 3 August 2015; Ministry of Petroleum and Natural Gas, Give it Up page; Economic Survey 2018-19, Vol I, chapter 2.
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Nudges: changing the choice, keeping the freedom
Richard Thaler and Cass Sunstein's Nudge (2008) argued that the way a choice is presented changes what people choose, and that governments can design choices to help people without forbidding anything. India's Economic Survey 2018-19 drew three principles from this literature: social norms shape behaviour, people stick with defaults, and repeated reminders sustain good habits.
Default
The option that applies if a person does nothing. Switching a default from opt-in to opt-out often moves behaviour more than any subsidy.
Choice design
How options are presented: their order, wording, timing and what is pre-selected.
Cautions: nudges work at the margin and rarely fix a missing service. A default that enrols people automatically can also exclude or burden them if the system behind it fails, so check who the default leaves out.
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Matching the instrument to the problem
Instrument choice should follow from a diagnosis of why the problem exists. The table is a starting point for discussion; real choices also depend on law, politics and capacity. Use it to check that a proposed tool addresses the cause you have identified, and to name the main risk before it arrives.
If the cause is mainly...ConsiderMain risk to plan for
Lack of money in poor householdsCash or in-kind transfersExclusion errors in targeting
Harm imposed on othersRegulation, taxesWeak enforcement; evasion
People lack informationInformation, labelling, campaignsMessage ignored or distrusted
Inertia or forgettingDefaults, reminders (nudges)Small effects; silent exclusion
No provider existsPublic provision or contracting (organisation)Staffing and absence (Section 6)
Providers do not performMonitoring, incentives, accountabilityGaming of the measured indicator
Instruments are often combined. VB-G RAM G mixes treasure (wages), authority (a legal guarantee) and organisation (panchayat-run works).
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05
Section Five
How policy is made in India
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The executive: who holds the power to decide
India follows a parliamentary system. Article 74(1) of the Constitution provides for "a Council of Ministers with the Prime Minister at the head to aid and advise the President who shall, in the exercise of his functions, act in accordance with such advice". Executive action is taken in the President's name, but the decisions are the government's. Article 77(3) lets the President make rules for the convenient transaction of business, and the Transaction of Business Rules 1961 are made under that power.
Allocation of Business Rules 1961
List the ministries and departments and allot every subject of government to one of them. The owning department leads on any policy in its subject.
Transaction of Business Rules 1961
Set how business is done: who must be consulted, which cases go to the Cabinet or its committees, and which the minister may decide alone.
Reading these two sets of rules tells you which officer actually holds the file on your issue, which is where any serious engagement with government begins.
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The ministry that owns the file
Most policy starts as a note in the owning department. Under rule 3 of the Transaction of Business Rules, business allotted to a department is disposed of by or under the direction of its minister, subject to the consultation rules. Rule 4(2) requires the previous concurrence of the Ministry of Finance for any order with a financial bearing, and rule 4(3) requires consultation with the Ministry of Law on proposals for legislation and on rules of a general character.
  • Subject ministry drafts the proposal
  • Other affected departments comment (rule 4(1))
  • Finance examines cost; Law examines legal form
  • Revised note goes to the minister
  • Cabinet or a Cabinet committee decides where the rules require it
  • Decision is communicated and the department acts
Source: Government of India (Transaction of Business) Rules 1961, as amended to 13 January 2025. In practice the Finance Ministry's concurrence is where many ambitious proposals are scaled down, so a cost estimate prepared early makes a proposal more likely to survive.
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The Cabinet and its committees
Rule 6 of the Transaction of Business Rules provides for Standing Committees of the Cabinet, with members chosen by the Prime Minister, and allows ad hoc committees including Groups of Ministers to investigate and, if authorised, decide. Any decision of a committee may be reviewed by the Cabinet. The Second Schedule lists cases that must go before the full Cabinet.
Selected Second Schedule cases (must go to Cabinet)Why it matters for policy
Cases involving legislation, including OrdinancesEvery government bill is a Cabinet decision first
Proposals to appoint public commissions or committees of inquiry, and their reportsCommissions are a common way to defer or prepare reform
Negotiations with other countries on treaties and important agreementsInternational commitments that later need domestic law
Proclamations of emergency under Articles 352 to 360Exceptional powers
Rule 6(7): no case that concerns more than one department goes to a Cabinet committee until all the departments concerned have been consulted.
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From the Planning Commission to NITI Aayog
On 1 January 2015 the Union Cabinet replaced the Planning Commission, set up by a Cabinet resolution on 15 March 1950, with the National Institution for Transforming India (NITI Aayog). The government's press note described it as a "think tank" of the government that would give the Union and the states strategic and technical advice. The Prime Minister chairs it, and its Governing Council includes the Chief Ministers of all states.
Planning Commission, 1950–2014
Drew up Five-Year Plans for the economy. It was created by an executive resolution of 15 March 1950, with no statute behind it.
NITI Aayog, from 2015
An advisory body, also created by Cabinet resolution. Works through indices, strategy papers and state engagement. Houses DMEO as an attached office.
Source: PIB, Cabinet press note and resolution, 1 January 2015 (the resolution names a Governing Council of the Chief Ministers of all states and Lieutenant Governors of union territories). Because both bodies rest on resolutions, a later government can change them without amending any law.
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The Pre-Legislative Consultation Policy, 2014
In 2014 the Union government adopted a policy on consultation before legislation. According to PRS Legislative Research, it applies to every ministry before a legislative proposal, including subordinate legislation, goes to the Cabinet. A draft bill is to be published for public comment for 30 days, with a justification, its financial implications, an estimated impact assessment and an explanatory note. A summary of comments is to be published on the ministry's website.
30 days
public comment window for draft bills under the policy
PRS Legislative Research, Parliament as a Law Making Body, 2 December 2014
10 days
given for comments on draft amendments to the MTP Act 1971 (2014)
PRS Legislative Research, Parliament as a Law Making Body, 2 December 2014
What it allows: any organisation can comment on a draft before the Cabinet approves it, when change is cheapest.
Its weakness: it is an executive policy with no statute behind it, and PRS found it had not been applied uniformly.
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How a bill becomes law in Parliament
After Cabinet approval a bill is introduced in either House, except Money Bills and other financial bills, which start in the Lok Sabha. It can be referred to a Department-related Standing Committee for detailed examination, though referral is not mandatory. It is then debated and voted clause by clause, passed by both Houses, and sent for the President's assent.
01
Introduction (first reading)
→
02
Committee examination, if referred
→
03
Consideration and clause-by-clause voting
→
04
Passage in the other House
→
05
Presidential assent
Where to engage: committees invite written submissions and sometimes oral evidence from experts and organisations.
Watch the time: in the 15th Lok Sabha, 35% of bills passed were debated for an hour or less (PRS, 2014).
Source: PRS Legislative Research, Parliament as a Law Making Body, 2 December 2014.
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Fewer bills now go to committees
Committees are where most detailed scrutiny of bills happens. The share of bills referred to them has fallen sharply. PRS Legislative Research reports that 16% of bills in the 17th Lok Sabha (2019–2024) were referred, lower than in each of the three previous Lok Sabhas.
Share of bills referred to parliamentary committees, by Lok Sabha (%)
PRS Legislative Research, Vital Stats: Functioning of the 17th Lok Sabha
Committees still meet often: about 1,700 meetings in the 17th Lok Sabha, and the Joint Committee on the Personal Data Protection Bill 2019 met 78 times (PRS). Unreferred bills miss that scrutiny.
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The Seventh Schedule: who may legislate on what
Article 246 and the Seventh Schedule divide legislative power between the Union and the states into three lists. Much of social policy sits with the states or in the Concurrent List, which is why national schemes depend on state governments. The 42nd Amendment of 1976 moved education from the State List to the Concurrent List.
SubjectList and entryWhat it means in practice
PoliceState List, entry 2Law and order is a state responsibility
Public health and sanitation; hospitalsState List, entry 6States run most public health services
AgricultureState List, entry 14Farm policy needs state action
EducationConcurrent List, entry 25 (since 1976)Both Union and states legislate
Social security and social insurance; employment and unemploymentConcurrent List, entry 23Basis for shared employment and welfare law
Source: Constitution of India, Seventh Schedule (Legislative Department text as on 1 May 2024); entry 25 of List III was substituted by the Constitution (Forty-second Amendment) Act 1976, with effect from 3 January 1977.
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Centrally sponsored schemes and who pays
Many national programmes are Centrally Sponsored Schemes: the Union designs and part-funds them, and states implement and share the cost. The funding formula is a policy choice with large effects. Under the VB-G RAM G Act 2025, s22, the sharing pattern is 90:10 for the North Eastern States, the Himalayan States and Jammu and Kashmir, 60:40 for all other states and union territories with a legislature, and fully Union-funded for union territories without one.
60:40
Union : State share, most states (s22(2))
VB-G RAM G Act 2025 (Act No. 36 of 2025)
90:10
North Eastern and Himalayan States, J&K (s22(2))
VB-G RAM G Act 2025 (Act No. 36 of 2025)
100%
Union share for UTs without a legislature (s22(3))
VB-G RAM G Act 2025 (Act No. 36 of 2025)
Normative allocation: the Union fixes each state's allocation on objective parameters it prescribes (s4(5), s22(4)).
Above the allocation: any spending in excess is borne by the state (s4(6), s22(5)).
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Courts and public interest litigation
Indian courts are policy actors. Article 32 lets a person approach the Supreme Court for enforcement of fundamental rights, and Article 226 gives High Courts similar writ powers. After the Emergency, judges including P.N. Bhagwati and V.R. Krishna Iyer relaxed the rule that only an injured person may sue. In Hussainara Khatoon v State of Bihar (1979) the Court took up the cases of undertrial prisoners, and S.P. Gupta v Union of India (AIR 1982 SC 149) widened standing for public interest petitions.
What PILs have done
Forced action on undertrial detention, cooked school meals and food rights; created continuing oversight through commissioners and repeated orders.
The criticism
Courts lack budgets, staff and field knowledge; orders can be hard to enforce (the 2003 midday meal order); critics call some directions judicial overreach.
Courts also review policy. In Justice K.S. Puttaswamy (Retd.) v Union of India (26 September 2018) the Supreme Court upheld section 7 of the Aadhaar Act 2016 and struck down the part of section 57 that let companies and individuals seek authentication.
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06
Section Six
Implementation and state capacity
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Pressman and Wildavsky: the implementation gap
Jeffrey Pressman and Aaron Wildavsky's Implementation (1973) carried the subtitle How Great Expectations in Washington Are Dashed in Oakland: a federal promise made in the capital and disappointed in one city, as the title itself announces. One way to see the problem is arithmetic: a programme that needs many separate agencies and decisions to agree has many chances to stall, even when each step is likely to go well.
Top-down view
Start from the law's objectives and ask why officials departed from them. Remedies: clearer goals, fewer veto points, more control and monitoring.
Bottom-up view
Start from the frontline and ask how officials and citizens actually behave. Remedies: discretion, local adaptation, feedback from those who deliver.
Illustrative arithmetic: if a scheme needs ten separate clearances and each has a 90% chance of coming through on time, the chance all ten do is about 35%.
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Lipsky: frontline workers make policy
Michael Lipsky's Street-Level Bureaucracy (1980) studied teachers, police officers, social workers and others who deal directly with citizens and have discretion over them. They work with too few resources, rising demand, vague goals and clients who cannot go elsewhere. They cope by building routines, rationing their time and simplifying how they see their clients.
The decisions of street-level bureaucrats, the routines they establish, and the devices they invent to cope with uncertainties and work pressures, effectively become the public policies they carry out.
Michael Lipsky, Street-Level Bureaucracy (1980), p. xiii, as quoted in Gilson (2015)
South Asian frontline: anganwadi workers, ASHAs, school teachers, panchayat secretaries, ration dealers, police constables.
Implication: to know what a policy is, watch what these officials do, as well as what the law says.
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How coping reshapes a policy
Lucy Gilson's review of Lipsky (Oxford Handbook of Classics of Public Policy, 2015) notes that coping routines can control clients, ration services by imposing time or money costs, and sort clients into more and less deserving. Lipsky himself said coping may "widen the gap between policy as written and policy as performed". The examples below are invented to show the mechanisms; they describe no real office.
Coping routine (Illustrative)How it looks on the groundEffect on the policy
Rationing by queueApplications accepted only one morning a weekWorkers with daily wages cannot apply
CreamingEasiest cases processed first to meet a monthly targetHardest-to-reach families wait longest
ReferralDifficult cases sent to the block officeCitizen must travel and may give up
Paperwork as gatekeepingExtra documents requested beyond the rulesEntitlement turns into a privilege
Design response: reduce the discretion that harms, resource the discretion that helps, and measure who is turned away as well as who is served.
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Pritchett: is India a flailing state?
In a 2009 Harvard Kennedy School working paper, Lant Pritchett argued that India's capable central institutions were poorly connected to delivery on the ground. He pointed to examples from health, education and routine tasks such as issuing driving licences, where state agents routinely did not do the tasks assigned to them, creating a gap between rules on paper and practice.
The India state is "flailing": its very capable head is not longer reliably connected to the arms and legs of implementation.
Lant Pritchett, Is India a Flailing State?, HKS Working Paper RWP09-013, 2009 (abstract, verbatim)
De jure: what the rules say should happen, in the Act, the guidelines and the office order.
De facto: what actually happens in the clinic, the school and the licence office.
A practitioner's version of the test: for any scheme, collect one rule and one observation of practice, and compare them.
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Kapur: why the Indian state both fails and succeeds
Devesh Kapur's article in the Journal of Economic Perspectives (2020, 34(1): 31–54) offers a more mixed picture. The Indian state, he argues, performs well on complex tasks run on a massive scale and on macroeconomic outcomes, and badly on everyday local services. He also disputes the claim that the state is bloated.
Delivers better when...Delivers worse when...
Outcomes are macroeconomicOutcomes are microeconomic
Delivery is episodic, with an in-built exitDelivery and accountability are daily
Little depends on local state capacityLocal capacity carries the load
Social hierarchy and status matter lessNorms of hierarchy remain strong
Kapur's three reasons: under-resourced local governments, the long-term effects of India's early ("precocious") democracy, and persistent social cleavage. He also finds state capacity improving at the micro level. Source: article abstract, AEA.
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Bureaucratic overload in rural development
Aditya Dasgupta and Devesh Kapur (American Political Science Review 114(4), 2020) surveyed local rural development officials across India, including time-use diaries. They describe bureaucratic overload: local bureaucrats are often heavily under-resourced relative to their responsibilities. Officials with fewer resources were worse at implementing rural development programmes, plausibly because they had too little time for managerial tasks.
The usual explanation
Poor implementation is blamed on rent-seeking and capture, so the remedy is more control and vigilance.
The overload explanation
Officials are spread too thin, so the remedy includes more staff, less paperwork and clearer priorities.
They also find fewer resources go to administrative units where political responsibility for implementation is less clear, which links capacity to electoral incentives.
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Measuring the gap: teacher and health worker absence
Unannounced visits are a direct way to measure implementation. Chaudhury, Hammer, Kremer, Muralidharan and Rogers (Journal of Economic Perspectives, 2006) visited schools and clinics in six countries including Bangladesh and India. A later nationally representative Indian panel by Muralidharan, Das, Holla and Mohpal (Journal of Public Economics, 2017) covered schools in 1,297 villages.
25%
government primary teachers absent in India; about half teaching when visited
Chaudhury et al., JEP 2006
23.6%
teachers absent during unannounced visits in the later Indian panel
Muralidharan et al., JPubE 2017
$1.5 bn
estimated annual salary cost of unauthorised teacher absence
Muralidharan et al., JPubE 2017
The 2017 paper estimates that more frequent monitoring could be over ten times more cost-effective at raising the effective student-teacher ratio than hiring more teachers.
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Designing a policy that can be implemented
The lesson of this section is to treat implementation as part of design. A policy that assumes perfect officials, perfect data and perfect payment systems will fail in predictable ways. The checklist below can be applied to any draft scheme before it is adopted.
  • Count the steps and approvals between the money and the citizen.
  • Name the frontline worker who delivers it, and check their workload.
  • State what discretion they have, and how it is supervised.
  • Budget for staff and training as well as benefits.
  • Plan the grievance route, with a time limit for a reply.
  • Pilot in a hard district before scaling.
  • Measure exclusion as well as leakage.
  • Publish the data that would show the scheme failing.
Read Governance & Accountability 101 for the accountability tools, such as social audit and RTI, that support delivery.
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07
Section Seven
Evidence in policy
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What counts as evidence for policy
Evidence-based policy means using the best available information about what a policy will do. In practice policy makers draw on several kinds of evidence, each answering a different question. A randomised trial can say whether a programme changed an outcome in one place; administrative data can say how many people it reached; qualitative work can say why it failed for some of them.
Kind of evidenceAnswers bestWatch for
Randomised and quasi-experimental evaluationsDid the policy cause the change?Whether results travel to other places and scales
Administrative data (MIS, payment records)Who was reached, when, at what cost?Records that reward reporting over reality
Surveys (NSS, NFHS, PLFS)How common is the problem, and for whom?Timing; survey changes between rounds
Qualitative and participatory researchWhy and how did it work or fail?Generalising from a few sites
Audits and social auditsWas money spent as claimed?Follow-up on findings
The best evidence for a decision is the one that answers the decision's question. See Impact Evaluation 101.
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Biometric smartcards in Andhra Pradesh
Muralidharan, Niehaus and Sukhtankar (American Economic Review 106(10), 2016) evaluated biometrically authenticated payments ("Smartcards") for the employment guarantee and social security pensions in Andhra Pradesh. The rollout was randomised across 157 subdistricts covering 19 million people, so the experiment was built into the order of an actual government rollout.
  • NREGS payments became faster, more predictable and less corrupt.
  • Programme access did not fall.
  • Leakage fell in both NREGS and pensions.
  • Time saved by beneficiaries alone matched the cost of the intervention.
  • Beneficiaries strongly preferred the new system.
  • Implementation was incomplete, and still worked.
Lesson for policy: a large experiment can be run inside a real government rollout by randomising the order in which areas receive a reform.
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Just-in-time funds for the workfare programme
Banerjee, Duflo, Imbert, Mathew and Pande (AEJ: Applied Economics 12(4), 2020) studied a reform to how funds flowed in India's workfare programme. Advance payments to local officials were replaced by "just-in-time" payments triggered by e-invoicing, which made misreporting easier to detect. The study used a large field experiment and then followed the nationwide scale-up.
−24%
programme expenditure in the experiment, with employment slightly up
Banerjee et al., AEJ Applied 2020
−10%
personal wealth of programme officials
Banerjee et al., AEJ Applied 2020
−19%
persistent fall in expenditure after nationwide scale-up
Banerjee et al., AEJ Applied 2020
The same study found that payment delays increased. Good evaluations report the costs of a reform alongside its gains.
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When a reform excludes eligible people
Evidence can also show harm. Muralidharan, Niehaus and Sukhtankar (NBER Working Paper 26744, 2020, revised 2021) evaluated the introduction of Aadhaar-based biometric authentication to collect benefits in the Public Distribution System in Jharkhand, using randomised and natural experiments. Corruption fell, but with substantial costs to legitimate beneficiaries.
1.5–2 million
legitimate beneficiaries lost access at some point during the reforms
Muralidharan, Niehaus and Sukhtankar, NBER WP 26744
The authors' reading: adverse effects appear to have been driven mainly by how the transition was managed.
The policy lesson: the impact of a new technology depends on the protocols governing its use, and rapid reforms carry risk.
Put this next to the Andhra Pradesh result: the same broad technology helped in one design and harmed in another.
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Reading official claims about savings
Governments often report results from their own administrative data. On 21 April 2025 the Press Information Bureau (Ministry of Finance) publicised an assessment by the BlueKraft Digital Foundation reporting cumulative savings of Rs 3.48 lakh crore from direct benefit transfer (DBT), with subsidies falling from 16% to 9% of total expenditure.
Claim in the PIB noteQuestion an analyst should ask
Rs 3.48 lakh crore cumulative savingsHow is a "saving" defined, and against what counterfactual?
Rs 1.85 lakh crore of it from food subsidies (PDS)Were deleted ration cards ineligible, duplicate, or eligible people excluded?
Rs 22,106 crore saved by deleting 2.1 crore PM-KISAN beneficiariesWere deletions verified, and could people appeal?
Beneficiary coverage up from 11 crore to 176 croreAre these people, accounts or transactions?
Source: PIB, India's DBT: Boosting Welfare Efficiency, 21 April 2025. Read it alongside the Jharkhand evidence on the previous slide.
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DMEO and government evaluation in India
DMEO describes its mandate as monitoring and evaluating the implementation of schemes, programmes and initiatives of the Government of India, to strengthen delivery, and building the monitoring and evaluation system in the country. Its website lists an Output-Outcome Monitoring Framework (OOMF) and a Data Governance Quality Index (DGQI) among its tools, and it commissions sector evaluations through open tenders.
Output-Outcome Monitoring Framework
Documents prepared before the Union Budget that "map financial outlays of schemes to intended outputs and outcome targets" for central schemes.
Data Governance Quality Index
Reviews the "data preparedness" of ministries' data and MIS systems on six themes, from data generation and quality to data security and staff capacity.
Practical use: before designing an evaluation of a central scheme, check whether DMEO has already evaluated it, and use its indicators so your findings can be compared. Sources: DMEO website and its OOMF and DGQI pages, October 2026.
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Using personal data for policy research
Policy research increasingly uses administrative records that contain personal data. In India the Digital Personal Data Protection Act 2023 and its 2025 Rules impose their duties from 13 May 2027. From that date section 17(2)(b) exempts processing "necessary for research, archiving or statistical purposes" if the data is not used to take a decision specific to a Data Principal and the processing follows prescribed standards.
  • Confirm your purpose fits research or statistics.
  • Do not use the data to decide about any individual.
  • Follow the prescribed standards for such processing.
  • Minimise: collect only the fields you need.
  • Separate identifiers from analysis files.
  • Keep ethics approval and consent records where they apply.
Source: DPDP Act 2023, s17(2)(b), Gazette of India, 11 August 2023; commencement under G.S.R. 843(E), 13 November 2025. See Data Protection & the DPDP Act 101.
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Why good evidence often does not change policy
A strong evaluation is one input into a political decision. It competes with budgets, promises, interests and timing. Kingdon's framework helps here: evidence sits in the policy stream, and it waits for a problem to be recognised and the politics to allow action. Researchers who want their work used plan for that wait.
01
Ask a question the decision maker already has
→
02
Agree in advance on what result would change the decision
→
03
Share early findings privately with implementers
→
04
Publish a short brief at the moment of decision
→
05
Stay available as the policy is revised
Common failure: the report arrives after the budget is set, answering a question nobody is asking any more.
Common fix: tie evaluation to a fixed decision point, as with evaluations before a scheme's renewal.
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08
Section Eight
South Asian cases
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The rural employment guarantee as enacted in 2005
The National Rural Employment Guarantee Act 2005 (No. 42 of 2005) made rural work a legal entitlement. Section 3 required each state to provide every rural household whose adult members volunteered for unskilled manual work "not less than one hundred days of such work in a financial year". Wages were to be paid weekly, or no later than a fortnight after the work was done. An applicant not given work within fifteen days was entitled to an unemployment allowance (s7).
Who paid (s22)
The Union met the full cost of wages for unskilled manual work and up to three-fourths of the material cost, including skilled and semi-skilled wages. States paid the unemployment allowance and one-fourth of material cost.
Why the design mattered
Because the Union paid all unskilled wages, the guarantee was demand-driven in law: the more work people demanded, the more the Union was obliged to fund.
Later renamed the Mahatma Gandhi NREGA, the Act was repealed from 1 July 2026. Sources: NREGA 2005 (PRS copy), ss 3, 7, 22.
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The VB-G RAM G Act 2025: what the new law says
The Viksit Bharat Guarantee for Rozgar and Ajeevika Mission (Gramin) Act, Act No. 36 of 2025, dated 20 December 2025, replaced it. The Ministry of Rural Development notified on 11 May 2026 that the Act would come into force on 1 July 2026, with MGNREGA repealed from the same date under section 37. The core guarantee rises to "not less than one hundred and twenty-five days" a year (s5).
  • s4: works must originate in Viksit Gram Panchayat Plans, integrated with the PM Gati Shakti National Master Plan.
  • s4(2): four focus areas: water security, core rural infrastructure, livelihood infrastructure, extreme-weather mitigation.
  • s6: states notify in advance a period aggregating to sixty days a year, covering peak sowing and harvest seasons, when no works run.
  • s22: a Centrally Sponsored Scheme with a 60:40 or 90:10 funding split and a Union-set normative allocation.
Sources: VB-G RAM G Act 2025 (Act No. 36 of 2025) (India Code, with S.O. 2382(E) of 11 May 2026); SCC Online, 12 May 2026. As of October 2026 the Act has been in force for three months.
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Old and new guarantees side by side
Comparing the two Acts section by section shows that the change is about more than the number of days. The funding rules, the planning rules and the seasonal pause change who decides how much work is available, and when. The table uses only the text of the two statutes.
FeatureNREGA 2005VB-G RAM G Act 2025
Days guaranteed per household per yearAt least 100 (s3)At least 125 (s5)
Unskilled wage costUnion pays in full (s22(1)(a))Shared 60:40 or 90:10 within a normative allocation (s22)
Spending above allocationNo state allocation cap in the ActBorne by the state (s4(6), s22(5))
Planning of worksGram Panchayat works under the SchemeViksit Gram Panchayat Plans linked to PM Gati Shakti (s4)
Seasonal pauseNone in the Act60 days a year in aggregate, notified by states (s6)
Unemployment allowanceIf no work within 15 days; paid by state (s7, s22(2))If no work within 15 days; borne by state (s11, s22(8))
Read the statutes themselves before relying on any summary, including this one; rules and the state Schemes will add detail.
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Reading the shift with this course's frameworks
The frameworks from earlier sections suggest what to watch as the new Act is implemented. These are questions for monitoring, and none of them is a finding: as of October 2026 there is no published outcome data for a full year under the new law.
Fiscal federalism (Section 5)
With a state share of wages and a normative allocation, does work offered track demand, or the allocation? Do poorer states with a 40% share open fewer works?
Implementation (Section 6)
Do the six-month Scheme deadline, panchayat planning and the seasonal pause change when and where work is available? Who records demand for work?
Evidence (Section 7)
Which administrative indicators will be published, and can independent researchers access them under the DPDP Act's research exemption?
Stakeholders (Section 9)
Workers, panchayats, state finance departments and contractors each gain or lose differently from the change.
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Aadhaar and direct benefit transfer: the legal basis
India's move to direct benefit transfer rests on the Aadhaar (Targeted Delivery of Financial and Other Subsidies, Benefits and Services) Act 2016, Act 18 of 2016, which received the President's assent on 25 March 2016. Section 7 lets the Union or a state require proof of an Aadhaar number, or authentication, as a condition for a subsidy, benefit or service paid for from the Consolidated Fund.
Upheld
In Puttaswamy (26 September 2018) the Supreme Court upheld section 7. The lead judgment described welfare delivery to the marginalised as an aspect of social justice, an obligation of the State under Part IV.
Struck down
The portion of section 57 that let a body corporate or an individual seek Aadhaar authentication was held unconstitutional. The Court also struck down section 33(2) in its form at the time.
The majority held the Act was rightly passed as a Money Bill; Justice Chandrachud's dissent called its passage as one "a fraud on the Constitution". Source: Justice K.S. Puttaswamy (Retd.) v Union of India, judgment of 26 September 2018 (Indian Kanoon text).
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DBT: what the evidence shows so far
The evidence on biometric and digital delivery in India points in more than one direction. The pattern across studies is that the technology's effect depends on how the reform is designed and rolled out, and on what happens to people for whom the system fails.
Study or claimSettingFinding
Muralidharan, Niehaus and Sukhtankar (AER 2016)Andhra Pradesh, NREGS and pensionsFaster, less corrupt payments; access did not fall
Banerjee et al. (AEJ Applied 2020)Workfare fund flows, national scale-upExpenditure down 19–24%; payment delays up
Muralidharan, Niehaus and Sukhtankar (NBER WP 26744)Jharkhand PDSCorruption fell; 1.5–2 million eligible people lost access at some point
PIB / BlueKraft assessment (April 2025)All DBT schemesRs 3.48 lakh crore cumulative savings claimed
Practitioner rule: track exclusion errors with the same care as leakage. A saving from removing ineligible people and a saving from excluding eligible people look identical in a budget.
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Pakistan's BISP: from legislators' forms to a poverty scorecard
The Benazir Income Support Programme was launched in late 2008 to cushion poor households against the food, fuel and financial crisis, with food inflation close to 25%. An ODI study by Shanza Khan and Sara Qutub (November 2010) records that a plan to identify beneficiaries from the national identity database was dropped during design. Instead, 8,000 forms were given to each member of the federal legislature to distribute to families they considered eligible. A poverty scorecard based on a proxy means test then replaced selection by legislators.
Why targeting changed
Only families who received a legislator's form could apply, and the design raised concerns over targeting and leakage. The government sought World Bank help, and the Bank proposed the scorecard. Payments go to women in eligible households.
Scale today
Pakistan's Economic Survey 2024-25 (Table 16.4) puts BISP disbursements at Rs 385.64 billion to about 9.87 million beneficiaries in July 2024 to 31 March 2025.
The case shows targeting as a political choice: who identifies the poor decides who controls the programme.
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Sri Lanka's Aswesuma: retargeting in a crisis
In 2023 Sri Lanka replaced its long-running Samurdhi benefit with the Aswesuma welfare benefit scheme. The Centre for Poverty Analysis (CEPA) published a rapid appraisal by Hemesiri Kotagama on 27 June 2023. It notes that the replacement was a condition in the government's 2023 loan agreement with the International Monetary Fund, and that households are scored on six dimensions: education, health, economic level, assets, housing condition and family demography.
27% → 12%
share of families receiving benefits in Rookwood Estate, Nuwara Eliya District, Samurdhi to Aswesuma
Kotagama, CEPA, 27 June 2023
Transparency: the appraisal says the dimension weights and the cut-off score were not public, so households could not check their own eligibility.
Lesson: a formula can be more objective than discretion and still exclude, if it is opaque and the appeal route is weak.
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Four cases, five lessons
Set side by side, the four cases show recurring patterns in South Asian social policy. Each lesson below draws on evidence or documents cited earlier in this section, and each points to a design question you can ask of any new scheme.
LessonSeen inDesign question
Who pays shapes who providesNREGA 2005 and VB-G RAM G 2025 funding rulesDoes the funding rule reward meeting demand?
Targeting is politicalBISP's move from legislators' forms to a scorecardWho identifies beneficiaries, and who checks them?
Technology helps or harms by designAndhra Pradesh smartcards; Jharkhand PDSWhat happens when authentication fails?
Opaque formulas exclude quietlyAswesuma appraisalCan a household see and appeal its score?
Courts can set floors, states deliverMidday meal orders, 2001 and 2003Who has the budget and staff to comply?
Use these questions in Section 10's checklist when you appraise a policy proposal.
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09
Section Nine
Stakeholders and political economy
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Why technically sound policies fail
Many well-designed policies are never adopted, or are adopted and then hollowed out. The usual reason is political: the people who would lose from the change are organised and attentive, while those who would gain are scattered or unaware. Political economy analysis looks at interests, institutions and incentives to explain why a policy problem persists and what might shift it.
Technical question
What policy would produce the best outcome, judged by evidence on costs and effects?
Political economy question
Who decides, who gains, who loses, what can each of them do about it, and under what conditions would the decision change?
BISP shows both questions at work: a scorecard was the technical answer to poor targeting, and replacing legislators' forms with it was a political choice about who controls benefits. See Political Economy 101.
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Problem-driven political economy analysis
The World Bank's good practice framework by Verena Fritz, Kai Kaiser and Brian Levy (2009) starts from a specific problem and works down in three steps. Its value for practitioners is focus: the analysis stops when it explains the problem you need to solve.
01
Define the problem, opportunity or vulnerability
→
02
Examine the governance and institutional arrangements behind it
→
03
Examine the political economy drivers: interests, incentives, power
Example question at step 2: which rule, budget line or office creates the bottleneck?
Example question at step 3: who benefits from the bottleneck staying in place?
Source: GSDRC topic guide on problem-driven political economy tools, summarising Fritz, Kaiser and Levy (2009).
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Stakeholder mapping: power and interest
A stakeholder map lists everyone who can affect or is affected by a policy, then places them by how much power they hold and how strongly the issue affects them. The grid tells you whom to keep closely engaged and whom to keep informed. The placements below are an invented example for a plastic ban, used to show the method.
High power, high interest (Illustrative)
Plastic manufacturers' associations; State Pollution Control Boards; municipal commissioners. Engage closely and early.
High power, low interest (Illustrative)
State finance departments; the Union Ministry of MSME. Keep satisfied; show how the policy affects their goals.
Low power, high interest (Illustrative)
Small vendors; waste pickers; residents near dumpsites. Organise and consult; their knowledge of practice is valuable.
Low power, low interest (Illustrative)
Most consumers. Inform; their behaviour still decides whether the ban works.
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Concentrated costs, diffuse benefits
A useful rule of thumb in political economy: when a policy's costs fall on a small, organised group and its benefits are spread thinly across many people, the small group usually wins. The Economic Survey 2014-15 found that the bottom half of households consumed only 25% of subsidised LPG, which helps explain why untargeted price subsidies persist: their better-off beneficiaries notice and resist any cut.
Policy change (Illustrative)Concentrated sideDiffuse sideLikely politics
Removing an untargeted fuel subsidyCurrent users who lose a visible benefitTaxpayers who save a little eachHard; often phased or paired with a transfer
Banning a polluting productManufacturers and their workersResidents with cleaner surroundingsNeeds time, alternatives and enforcement
Biometric checks at ration shopsDealers who lose diversion incomeTaxpayers and eligible householdsDealers resist; exclusion risk falls on the poor
Designing a reform includes designing the coalition that will defend it.
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Centre, states and the politics of shared schemes
In a federation, a single policy has two sets of politicians with different incentives. Under a 60:40 funding split, a state government pays two rupees for every three the Union pays, and the political credit may go to whichever level voters notice. Dasgupta and Kapur (2020) found fewer resources go to administrative units where political responsibility for implementation is less clear.
  • Union interests: national branding, fiscal control, uniform standards.
  • State interests: flexibility, local credit, protection from unfunded mandates.
  • Local bodies: funds, staff and discretion over works.
  • Watch for: states slowing spending they must co-fund.
  • Watch for: allocation formulas that favour some states.
  • Watch for: blame-shifting when delivery fails.
A cross-border comparison: after Pakistan's Eighteenth Amendment (2010) devolved education, health and social welfare functions, provinces took over policy in those fields while federal cash transfers such as BISP continued.
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Four tests of feasibility
Before recommending a policy, test it against four kinds of feasibility. A proposal that passes on evidence but fails one of these will need redesign or a longer plan. Write down your judgement for each test and the evidence for it, so others can challenge it.
TestQuestionEvidence to gather
TechnicalWill it work if implemented as designed?Evaluations, pilots, theory of change
PoliticalCan it be adopted and survive a change of government?Stakeholder map; positions of parties and states
AdministrativeCan the existing state machinery deliver it?Staff numbers, workload, IT systems, absence data
FinancialCan it be paid for, now and in five years?Cost estimates; Finance Ministry view; fiscal rules
Administrative feasibility is the test most often skipped and the one Sections 6 and 8 show failing most often.
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Reading the window: when to push and when to prepare
Kingdon's windows and Baumgartner and Jones's punctuations both say that timing matters as much as content. A practitioner cannot open a window, but can be ready when one opens. Preparation means having evidence, a costed proposal, a draft text and allies in place before the moment arrives.
Signals that a window may open
A new government or minister; a budget or Finance Commission cycle; a court hearing; a crisis or scandal in the sector; a new survey round showing a problem has worsened.
Work to do while waiting
Pilot and evaluate; build relations with the officers who hold the file; brief committee members; prepare comments ready for a 30-day consultation window.
The 2014 consultation policy's 30-day window is short. Organisations that already know the issue can respond in time; others cannot.
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10
Section Ten
A practitioner's toolkit
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Six steps of a policy analysis
Policy analysis is the work of advising a decision maker on what to do. The six steps below are a common teaching sequence used in many forms by policy schools. They work for a one-page note to a district collector as well as a long report for a ministry; only the depth changes.
01
Define the problem with evidence of its size
→
02
Set the criteria for judging options
→
03
Build three or four realistic options
→
04
Project each option's outcomes and costs
→
05
Compare trade-offs openly
→
06
Recommend, and say what would change your mind
Include the status quo: always analyse "no change" as one option, with its own costs.
State criteria first: choosing criteria after seeing results invites bias toward a favoured option.
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Checklist: reading a policy before you act on it
Most mistakes practitioners make about policy come from reading only one document. Before designing a programme around a scheme, or commenting on a draft, assemble the full set of documents and check each of these points.
  • Find the parent Act and the section that creates the right or power.
  • Find the rules, the notified Scheme and the current guidelines.
  • Check commencement dates and any repeal or savings clause.
  • Read the budget line and the funding pattern.
  • Look for court orders or pending cases on the subject.
  • Check the parliamentary committee report, if the bill was referred.
  • Find the latest evaluation (DMEO, CAG, independent studies).
  • Talk to one frontline official about how it works in practice.
Worked check: for rural employment in October 2026 the parent Act is the VB-G RAM G Act 2025, MGNREGA is repealed with savings under s37, and each state's Scheme is due within six months of 1 July 2026 under s3.
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Options appraisal: exclusion at ration shops (Illustrative)
A district team finds that some eligible families are turned away when fingerprint authentication fails at ration shops. The options and scores below are invented to show the method; real scores need local data. Scores run from 1 (poor) to 3 (good) on each criterion.
Option (Illustrative)Reduces exclusionControls leakageCostFeasible now
Status quo1333
One-time password to registered mobile as fallback2232
Nominated family member can authenticate2233
Manual override logged by dealer, audited monthly3123
Combine nominee and audited override3222
Adding the scores is not the decision. Make the weights explicit: a team that weights exclusion highest, given the Jharkhand evidence in Section 7, would favour the last option and plan the audit carefully.
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Where and how to engage the Indian policy process
Different stages offer different openings, and each has its own form and timing. The table lists formal routes; informal relationships with the officers who hold the file matter at every stage.
StageFormal routeWhat to submit
Agenda settingPetitions, representations, media, research reportsEvidence of the problem's size and who it hurts
FormulationComments on drafts under the 2014 consultation policy (30 days)Clause-specific comments with reasons and alternatives
Legislative scrutinySubmissions to the parliamentary committee examining a billShort memo; offer to give oral evidence
ImplementationRTI requests; grievance systems; social auditsSpecific facts and records
ReviewEvaluation studies; PILs where rights are breachedEvidence of outcomes
Information on schemes and records can be sought under the Right to Information Act 2005. See Governance & Accountability 101 for the RTI process.
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Choosing what to monitor once a policy is adopted
Adoption is where many organisations stop paying attention, and implementation is where most policies change shape. A short monitoring plan, agreed before rollout, keeps attention on the points where Sections 6 to 8 show failures usually happen. Pick the rows that match the policy's main risk.
If the main risk is...MonitorSource of dataEarly warning sign
Exclusion of eligible peopleRejections, failed authentications, appealsMIS, grievance logs, household surveyRising rejections in one block
Leakage or ghost beneficiariesPayments against verified beneficiariesPayment records, audit samplesPayments to unverified accounts
Delayed paymentsDays from work or claim to creditPayment system dataMedian delay above the legal limit
Frontline overloadCases per official; vacanciesStaffing records, time-useVacancy rate rising with caseload
Allocation below demandWork or benefit demanded against providedMIS demand registers, field checksUnrecorded demand reported in the field
Under the VB-G RAM G Act, wages are due within a fortnight (s5(3)), and work is due within fifteen days of an application, failing which the allowance under s11 applies. Those legal deadlines are natural indicators.
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Common mistakes in policy work
These mistakes recur in policy proposals from NGOs, researchers and governments alike. Each has appeared in this course in some form. Use the list as a final check before a recommendation leaves your desk.
In analysis
Treating a scheme guideline as the law. Ignoring the status quo option. Counting leakage savings without counting exclusion. Quoting a figure with no year or source. Assuming a pilot's results will hold at scale.
In engagement
Arriving after the decision is made. Writing to the minister when the file sits with a joint secretary. Ignoring state governments in a state subject. Asking for everything at once. Treating officials only as opponents.
The habit that prevents most of them: write down the specific decision, the person who will make it, and the date, before you start the analysis.
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11
Section Eleven
Writing a policy brief, and where next
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What a policy brief is for
A policy brief is a short document, usually two to four pages, written for a decision maker who has little time and a decision to make. It differs from a research paper in purpose. The paper shows how the authors know something; the brief tells a reader what to do about it, with just enough evidence to be trusted.
Research paper
Written for peers; question, method, results, discussion; long; hedged; judged on rigour.
Policy brief
Written for a named decision maker; finding first; short; clear recommendation; judged on whether it is used.
Before writing, answer three questions in one sentence each: who will read it, what decision they face, and what you want them to do.
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A standard structure for a policy brief
The structure below puts the conclusion first, because many readers stop after the first paragraph. Every later section supports that opening. Keep the evidence section to the two or three findings that matter for the decision, each with its source.
01
Title that states the finding
→
02
Summary: problem, finding, recommendation in 100 words
→
03
The problem, with numbers and sources
→
04
Options, including the status quo
→
05
Recommendation and next steps
→
06
Sources and contact
Title example (Illustrative): "Fingerprint failures are excluding eligible families; a nominee rule would fix most cases".
Weak title: "An analysis of authentication in the public distribution system". It names a topic and gives no finding.
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Writing rules for briefs
Officials read briefs quickly, often on a phone. Plain words, short sentences and numbers with sources make a brief easier to act on and harder to dismiss. The before-and-after example is invented to show the difference.
Before (Illustrative)
"It may be observed that a significant number of beneficiaries may be experiencing challenges with regard to accessing entitlements."
After (Illustrative)
"In our survey of 600 households in two blocks, one in eight eligible families was refused rations at least once in the last three months."
  • Lead each paragraph with its point.
  • Give every number its source and year.
  • Use the active voice and name who must act.
  • State uncertainty once, plainly, with its reason.
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Presenting evidence and its limits
A brief earns trust by being exact about what is known. Give the source and year of every number, say what kind of study produced it, and state the main limit in one plain sentence. Readers forgive uncertainty that is explained; they stop trusting a brief that overstates.
Say where a number comes from
"A randomised evaluation across 157 subdistricts of Andhra Pradesh found faster payments (Muralidharan, Niehaus and Sukhtankar, AER 2016)."
Say what it cannot tell you
"A later study in Jharkhand's ration system found 1.5 to 2 million eligible people lost access at some point, so results depend on how a reform is run."
  • Prefer one strong study you can describe to five you cannot.
  • Show a range when estimates differ, and say why they differ.
  • Label any example you invented as illustrative.
  • Date every claim that can change, such as a law's status or a budget figure.
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Ten points to take away
Each point links to a section of this course and to a decision a practitioner makes. Return to them when you review a scheme, comment on a draft or plan an evaluation.
  • Policy is what governments choose to do or not to do; inaction is a choice too.
  • One policy lives in an Act, rules, a scheme, a budget and sometimes a court order.
  • The cycle maps stages; Lindblom, Kingdon and Baumgartner and Jones explain change.
  • Pick the instrument from the cause of the problem: authority, treasure, nodality, organisation.
  • In India, consultations under the Transaction of Business Rules shape drafts before anyone sees them.
  • Only 16% of bills went to committees in the 17th Lok Sabha; engage early.
  • Frontline officials make policy in practice; design for their workload.
  • Count exclusion as carefully as leakage.
  • The VB-G RAM G Act 2025 changes days, funding and planning; watch the data.
  • A brief states the finding first and names who must act.
Facts are stated as of October 2026. Check later amendments, rules and judgments before relying on them.
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Where next: related courses
Public policy connects to most courses in the ImpactMojo 101 Series. These are the most direct next steps, chosen to deepen the law, the politics, the money and the evidence behind the topics in this deck.
All courses are free. Start with Governance & Accountability 101 if implementation is your main concern, or Political Economy 101 for the incentives behind policy choices.
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Public Policy 101 · Complete
Read the law, watch the frontline,
count who is left out
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