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ImpactMojo 101 Series · Free Forever
Care
Economy
101
Recognising, Valuing & Investing in the Work That Holds Everything Else Up — a Foundational Course for Development Practitioners in South Asia
Research-BackedSouth Asia Focus100 SlidesFree Access
ImpactMojoCare Economy 101www.impactmojo.in
What We Cover
01
What the Care Economy Is
Slides 3–11
02
The Invisibility of Care
Slides 12–20
03
Measuring Care: Time-Use Surveys
Slides 21–29
04
The Value of Unpaid Care
Slides 30–37
05
The Gendered Division of Care
Slides 38–46
06
Care & the Macroeconomy
Slides 47–54
07
The 5 Rs Framework
Slides 55–64
08
Care Policies
Slides 65–73
09
Paid Care Work
Slides 74–82
10
Care in South Asia
Slides 83–91
11
Practice & Policy
Slides 92–99
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01
Section One
What the Care Economy Is
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Care is the economy beneath the economy
Every market, factory and office runs on people who were fed, raised, nursed and kept well by someone. The care economy is the whole system of activities — paid and unpaid — that sustain human beings day to day and across generations.
Care economy
The sector of activity, paid and unpaid, that meets the physical, emotional and developmental needs of people — children, the sick, the elderly, persons with disabilities, and able adults — so that life and the wider economy can continue.
No worker arrives at a job site without first being cared for. Care is the precondition of all other production.
Care economy includesCounted in GDP?
Unpaid domestic work at homeNo
Unpaid care of children and eldersNo
Paid domestic workYes, if recorded
Nurses, teachers, childcare staffYes
Frontline honorarium workersPartly, ambiguously
The last row is where the categories break down. ASHAs are described as volunteers, paid an honorarium, doing work the health system depends on — neither clearly unpaid nor clearly employed.
That ambiguity is not accidental. Classifying the work as voluntary is what makes it affordable, and it is contested by the workers themselves.
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Care work comes paid and unpaid
Unpaid care work
Cooking, cleaning, fetching water and fuel, childcare, caring for the sick and elderly — done within the household for no wage. Overwhelmingly done by women and girls.
Paid care work
Domestic workers, nurses, ASHAs, anganwadi workers, teachers, eldercare staff — care provided for a wage, in homes, clinics, schools and institutions.
The two are connected: when unpaid care is squeezed, demand for paid care rises — and vice versa.
Unpaid carePaid care
Who does itWomen and girls, overwhelminglyWomen, overwhelmingly
WhereThe householdHomes, clinics, schools, centres
CountedNoPartly
ProtectedNot at allRarely — mostly informal
PaidNoBelow comparable work
Read the columns together and the pattern is one thing, not two: work coded as care is done by women and is either unpaid or underpaid, whichever side of the household boundary it sits on.
That is the core claim of care economics, and it is what makes the paid and unpaid halves a single subject rather than two.
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Direct care and the work that enables it
Direct (person) care
  • Feeding and bathing a child
  • Nursing a sick relative
  • Supervising an elderly parent
  • Helping a child with schoolwork
Indirect (housework) care
  • Cooking and washing up
  • Cleaning the home
  • Fetching water and firewood
  • Shopping and household management
Both are care work. Indirect care — the cooking and fetching — is what makes direct care possible.
Type of careSubstitutable by a service?
Feeding and bathing a childPartly — a crèche
Nursing a sick relativePartly — home nursing
Supervising an elderly parentHard; requires presence
Cooking and cleaningYes — and commonly is
Fetching water and fuelYes — by infrastructure
The bottom two rows are where policy has most traction, because they can be reduced by infrastructure rather than redistributed between people.
Supervision is the most under-recognised category: hours spent being available, unable to leave, which time-use instruments capture badly and which is real constraint.
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Why care is the foundation of every other economy
01
UNPAID CARE produces & maintains people
02
PEOPLE supply labour to markets
03
MARKETS generate paid output (GDP)
04
GDP funds public services & more care
Economists call this the circuit of social reproduction: the market economy could not function for a single day without the care economy replenishing its workforce.
Step in the circuitWhat happens if it fails
Care produces and maintains peopleThe labour force is not replenished
People supply labourOutput falls
Markets generate outputRevenue falls
Revenue funds services and careCare load returns to households
The circuit closes: when public services contract, the work does not disappear — it moves back into households, and within households onto women.
That is the mechanism behind the standard finding that austerity has a gendered incidence even when the budget lines cut are gender-neutral.
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Care work is colossal — if you count it
16.4 bn
hours of unpaid care work performed worldwide every day
ILO, Care Work and Care Jobs (2018)
76%
of all unpaid care hours worldwide are done by women
ILO (2018)
2 billion+
equivalent full-time jobs that daily unpaid care would represent at minimum wage
ILO (2018)
These are established global estimates from the ILO — care is not a marginal activity but one of the largest 'sectors' in the world economy.
ILO 2018 figureWhat it is
16.4 billion hours a dayGlobal unpaid care work
76% of those hoursDone by women
2 billion full-time-equivalent jobsAt minimum wage, if paid
About 9% of global GDPA common valuation estimate
These come from Care Work and Care Jobs for the Future of Decent Work (ILO, 2018), which remains the standard global reference and states its methods openly.
Cite the source and the year with the number. Care estimates vary substantially by method, and a figure quoted without its basis invites a methodological dismissal.
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From cost to investment
Conventional accounting treats care — childcare leave, anganwadis, eldercare — as spending to be minimised. The care-economy lens reframes it as investment in the people on whom all future output depends.
The care economy is not a drain on the 'real' economy. It is the infrastructure that makes the real economy possible.
— a core insight of feminist economics
Treated as costTreated as investment
Childcare spendingEnables mothers’ earnings and child development
Maternity benefitRetains women in the workforce
Eldercare servicesReleases family carers to work
Water and fuel infrastructureReturns hours to households
The reframing is not rhetorical. Whether a budget line sits in current consumption or in capital changes how it is appraised and how easily it is cut.
Where you can, make the argument in the accounting language the finance ministry uses. Care as human-capital investment travels further than care as a right in that room.
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A day in two economies
Picture a rural morning. A woman rises before dawn, fetches water, lights the stove, cooks, feeds children, sees the older ones to school, tends an ailing parent — all before any 'work' the economy recognises has begun.
Hours of essential labour, all of it uncounted. The care economy is not abstract — it is the texture of daily life, mostly women's.
Before "work" beginsHours it takes
Fetching waterWhere there is no tap
Lighting a fire and cookingWhere there is no LPG
Feeding and readying childrenEvery day
Tending an ill relativeUnpredictable, unbounded
Every item on this list is displaced by infrastructure or shared by another person. None of it is displaced by exhortation, which is why the Reduce and Redistribute Rs are separate.
A programme that asks for two hours a week from this day is competing with sleep, with paid work, or with a daughter’s schooling. Ask which.
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How this course is built
Seeing & measuring
  • Why GDP makes care invisible
  • Time-use surveys and the gender gap
  • Valuing unpaid care work
Acting on it
  • The gendered division and the 5 Rs
  • Care policies and paid care work
  • Care in South Asia, and what to do
Examples are India-centric throughout — the care realities you meet in policy and practice.
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02
Section Two
The Invisibility of Care
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GDP measures the market, not the home
Gross Domestic Product counts goods and services bought and sold. The meal cooked at home for free does not count; the identical meal bought at a restaurant does. The work is the same — only the price tag differs.
Result: a vast share of the labour that keeps society alive is statistically invisible. What we do not measure, we do not value, and do not fund.
Same workCounted?
A meal cooked at homeNo
The same meal in a restaurantYes
Childcare by a motherNo
Childcare in a crècheYes
Water fetched from a wellNo
Water delivered by a utilityYes
The boundary is not about the nature of the work. It is about whether money changed hands, which is a measurement convention rather than an economic judgement.
One consequence is perverse: as services commercialise, GDP rises without any new work being done. The work simply crossed the line.
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The SNA 'production boundary'
Production boundary (SNA)
The line drawn by the System of National Accounts — the UN rulebook for GDP — that decides which activities count as economic 'production'. Unpaid domestic and care services for one's own household sit outside it.
Crucially, the SNA does count unpaid production of goods for own use (e.g. subsistence farming, fetching water), but excludes unpaid services — cooking, cleaning, caring — from GDP.
Inside the boundaryOutside it
Market productionUnpaid domestic services
Own-account production of goodsUnpaid care of household members
Subsistence farmingUnpaid volunteering in some cases
Note the asymmetry in the first two rows: growing food for your own household counts as production; cooking it for your own household does not.
The distinction is defended on measurement grounds — goods are countable, services within a household are not — and time-use surveys have weakened that defence considerably.
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The classic paradox of national accounting
A famous illustration: if a man marries his housekeeper and stops paying her, but she does the same work, GDP falls — even though nothing about the actual work has changed.
The example, debated since the early days of national accounting, exposes the arbitrariness of the boundary: the same task is 'production' when paid and 'nothing' when unpaid.
BeforeAfterGDP
Housekeeper paid a wageSame work, unpaid spouseFalls
Meals boughtMeals cooked at homeFalls
Childcare purchasedGrandmother does itFalls
The paradox is usually attributed to Pigou and has been argued over since the early days of national accounting. It has never been resolved because the boundary is a convention, not a finding.
The practical consequence is that GDP moves when work crosses the household line, which makes it a poor measure of how much work is being done.
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How care became 'not work'
The exclusion is not a neutral technicality. Care was naturalised as something women do out of love — an instinct, not labour. Calling it 'women's work' made it both invisible and unpaid.
When work is done out of love, or expected of one's gender, it is rarely counted as work at all.
— a recurring theme in feminist economics
Naturalising care as loveConsequence
It becomes an instinct, not a skillNo training, no ladder, no pay
Refusing it becomes a moral failingBargaining power disappears
It cannot be bought, so has no priceAnd so no budget line
It is nobody’s job, so everybody assumes itProgrammes free-ride on it
The last row is the operational point for a development practitioner: designs that assume women will contribute unpaid time are relying on this framing to work.
The framing also travels into paid care, which is why the care penalty exists: work coded as love is priced as though it were not skilled.
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Feminist economists named the gap
  • Marilyn WaringIf Women Counted (1988) exposed how the SNA renders women's work invisible
  • Nancy Folbre — theorised the economics of care and 'the invisible heart'
  • Diane Elson — built the policy framework (the Rs) for acting on unpaid care
  • Shahra Razavi — mapped how care is provided across state, market, family and community
We will meet each of these thinkers again — they built the toolkit this course uses.
ThinkerContribution
Marilyn WaringShowed how the SNA renders women’s work invisible
Nancy FolbreThe economics of care; the care penalty
Diane ElsonRecognise, Reduce, Redistribute
Shahra RazaviThe care diamond
Arlie HochschildThe second shift
If Women Counted (1988) came out of Waring’s experience as a member of parliament confronting national accounts that had no place for most of what women did.
Elson’s three Rs are the most policy-portable output of this literature and have been adopted, with the ILO’s two additions, into mainstream policy language.
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What invisibility costs
  • Care receives little public investment — it 'isn't economic'
  • Women's economic contribution is systematically understated
  • Time spent caring is mistaken for 'not working' or 'inactivity'
  • Policy is designed as if care happens for free, forever, automatically
Making care visible is the first step — you cannot redistribute or invest in what the data refuses to see.
Because care is invisibleA programme
It gets no budget lineAssumes it happens for free
Women appear "not working"Targets them as available
Time is not measuredSchedules activities they cannot attend
Care is nobody’s remitAdds to it without noticing
These are design consequences, not just accounting ones. An invisible input is one that no design process asks about, so its supply is assumed to be unlimited.
Adding two time-use questions to a baseline is the cheapest correction available and is almost never done.
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What the headline number leaves under water
Total socially useful work: what GDP counts vs what it omits (illustrative)
Illustrative, patterned on time-use-based estimates
Illustrative split: a large share of all socially useful work is unpaid care that never enters GDP. The visible economy sits on a vast invisible one.
Above the waterBelow it
Market productionUnpaid domestic work
Recorded servicesUnpaid care of people
Estimates vary by method; every serious one places a large share of socially useful work below the line.
The submerged part is not idle: it produces the people the visible part employs.
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The boundary is being challenged
The SNA still excludes unpaid care from headline GDP, but statisticians now build satellite accounts — parallel estimates that value household production alongside GDP without changing the core measure.
Time-use surveys, which we turn to next, are the raw material for these satellite accounts — the way care finally gets counted.
ChangeStatus
Satellite accounts for household productionProduced in a number of countries
Time-use surveys as regular instrumentsIndia: 2019 and 2024 rounds
Unpaid care in headline GDPStill excluded
Care in national policy frameworksGrowing
A satellite account values household production alongside GDP without altering the headline number, which is the compromise statisticians reached between visibility and comparability.
For advocacy the satellite account is usually enough: it produces an official number that can be cited without requiring the SNA itself to change.
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03
Section Three
Measuring Care: Time-Use Surveys
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Time-use surveys make care visible
Time-use survey
A survey that asks people to account for how they spent a full day — typically in fixed time slots — capturing paid work, unpaid care, learning, leisure and rest. It is the standard tool for measuring unpaid work.
Because it records activities rather than only earnings, the time-use survey can see the cooking, cleaning and caring that GDP ignores — and reveal who does it.
A time-use survey capturesWhich no other instrument does
The full 24 hoursIncluding sleep and rest
Unpaid work by activityNot just "did you work"
Simultaneous activitiesChildcare while cooking
Who in the householdNot the household as a unit
Weekday and weekend variationWhere sampled for it
The third row is where care is most often lost. Supervising a child while doing something else is real constraint and is invisible to any instrument that records one activity per slot.
Where a survey records a primary and a secondary activity, the care total roughly doubles. Check which convention produced any figure you cite.
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The India Time Use Survey, 2019
India's first national Time Use Survey (TUS) was conducted by the National Statistical Office (NSO) from January to December 2019; a second round followed in 2024 (results released February 2025). Together they are the authoritative source on how Indians — women and men — spend their time.
2019
first all-India TUS, conducted by NSO over a full year
MoSPI / NSO Time Use Survey 2019
~1.39 lakh
households surveyed across India
NSO TUS 2019
24 hrs
of each respondent's day recorded in 30-minute slots
NSO TUS 2019
India TUSDetail
Conducted byNational Statistical Office
First national roundJanuary to December 2019
Second round2024, results released February 2025
BasisFull 24-hour recall, coded activities
UseUnpaid care, time poverty, satellite accounts
Two rounds five years apart make change measurable for the first time in India, which is a substantial advance over a single snapshot.
When citing, name the round. Comparisons between the two require attention to any change in the instrument, and the reports document it.
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Recording a day, slot by slot
01
SAMPLE households across rural & urban India
02
ASK each member to recount the previous day
03
CODE activities in 30-minute slots
04
CLASSIFY into paid work, unpaid care, learning, leisure, rest
The survey also captures simultaneous activities — minding a child while cooking — a reality that single-task measures miss entirely.
Method choiceWhat it affects
Previous-day recallAccuracy versus a diary’s burden
30-minute slotsShort activities may be missed
Secondary activity recordedWhether simultaneous care counts
Who is interviewedProxy reporting distorts the split
Proxy reporting is the largest hazard: if one person reports for the whole household, the reported division of labour reflects the norm rather than the day.
Individual recall from each member is the standard the instrument aims at, and departures from it should be read as likely to understate women’s hours.
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The gendered gap in unpaid work
The TUS 2019 confirmed what was long suspected: Indian women spend many times more of their day on unpaid domestic and caregiving services than men do — one of the widest such gaps measured anywhere.
~5 hrs
average daily time women (15–59) spend on unpaid domestic & care work
Illustrative, patterned on NSO TUS 2019
~30 min
average daily time men (15–59) spend on the same
Illustrative, patterned on NSO TUS 2019
The participation gap is just as stark: a large majority of women do unpaid domestic work on any given day; only a minority of men do.
What the gap meansPractically
Hours unavailable for paid workA constraint on participation
Hours unavailable for studyA constraint on girls’ attainment
Hours unavailable for restA health cost
Hours unavailable to attend anythingA constraint on your programme
The gap is among the widest measured anywhere, and it is stable across settings within India, which suggests norm rather than circumstance is the main driver.
For design the last row is the operative one: a large unpaid-care load is why an activity scheduled at eleven in the morning reaches the women it does.
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Unpaid work hours by sex (illustrative)
Average minutes per day on unpaid domestic & care work, by sex
Illustrative, patterned on NSO Time Use Survey 2019
Bars are illustrative and patterned on the TUS 2019 pattern; the magnitude of the gap — women doing the large majority of unpaid care — is well established.
The gap holds acrossWhich suggests
Rural and urbanNot an artefact of setting
StatesNot a regional culture
A pattern holding across every cut of the data is evidence of a norm, which is why redistribution needs norm work and not only services.
The size varies with infrastructure and services; the direction does not vary at all.
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What the numbers do and don't say
  • Time-use data shows how much care is done, and by whom — powerfully
  • It captures simultaneous and unpaid work that GDP misses
  • But recall and social desirability can under-report men's small share or women's leisure
  • And a minute of childcare and a minute of leisure are not equivalent in wellbeing
Use time-use data to size the problem and target policy — but read it like any survey, with its limits in view.
Time-use data doesDoes not
Quantify unpaid work by sexExplain why the division exists
Reveal time povertyValue the work
Capture simultaneous activityCapture the mental load
Support satellite accountsSettle what should be counted
Recall and social desirability both push in the same direction, so a reported gap should generally be read as a lower bound rather than a precise figure.
The mental load — planning, remembering, anticipating — is the clearest thing the instrument cannot see, and it is a real component of the burden.
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The gap is everywhere — with variations
The unpaid-care gender gap shows up in every setting the TUS measured — rural and urban, across states, rich and poor. Where infrastructure is thin, women's unpaid hours climb further; men's barely move.
This consistency is the point: the gap is structural, not the quirk of one region. It is built into how society assigns care.
Where infrastructure is thinEffect on hours
No piped waterFetching adds hours a day
No LPGFuel collection and slower cooking
No electricityTasks confined to daylight
No sanitationTime and safety costs
Men’s unpaid hours barely move across these settings, which is the finding that makes the division of labour look like a norm rather than a response to conditions.
It also identifies the highest-return interventions: infrastructure reduces the total, and only redistribution changes the share.
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From a survey to a budget line
Time-use data is not an academic curiosity. It is the evidence base for childcare investment, for measuring women's true workload, for designing leave policy, and for valuing unpaid care in national accounts.
Once you can count the hours, you can begin to value them — the question we turn to next.
Time-use evidence supportsConcretely
Childcare investmentHow many hours it would release
Leave policy designWhat a realistic entitlement looks like
Infrastructure prioritisationWhich service returns most time
Satellite accountsThe hours to be valued
Programme designWhen people are actually available
Nothing on this list requires new data collection once a national round exists. The evidence is public, and the constraint is that it is rarely consulted at design.
Read the TUS tables for your own state before designing an activity schedule. It takes an hour and changes what you propose.
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04
Section Four
The Value of Unpaid Care
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What is unpaid care worth?
If unpaid care were a paid sector, how large would it be? Answering this means assigning a money value to hours that, by definition, command no wage. Economists call this imputation.
Imputation
Estimating a monetary value for an activity that has no market price — here, by asking what the equivalent work would cost if it had to be bought.
Imputation requires decidingAnd each choice moves the answer
Which activities to valueDirect care only, or housework too
Whose wage to useGeneralist or specialist
Whether to value simultaneous timeDoubles some totals
Whether to include supervisionLarge, contested
Because each choice moves the total substantially, published estimates for the same country legitimately range widely, and none is the true figure.
Report the method alongside the number, and prefer a range to a point estimate. A single confident figure will be attacked on its assumptions.
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Three ways to put a price on care
MethodHow it values an hour of careTends to give
Replacement cost (generalist)Wage of a domestic worker who could do itLower estimate
Replacement cost (specialist)Wage of a nurse, cook, tutor for each taskHigher estimate
Opportunity costThe wage the carer forgoes by doing care insteadVaries by the carer's own wage
The method chosen can change the headline value several-fold — so always ask which one a figure uses.
MethodLogicWeakness
Replacement, generalistWhat a domestic worker would chargeAnchored to a suppressed wage
Replacement, specialistA nurse, cook or tutor per taskOverstates for untrained work
Opportunity costWhat the carer forgoesValues a graduate’s hour above a labourer’s
The opportunity-cost method has an uncomfortable property: it implies an hour of childcare by a well-paid woman is worth more than the same hour by a poor one.
Most official exercises use generalist replacement cost, which is conservative and produces the lower bound — worth saying when you cite the number.
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Unpaid care as a share of GDP
Across countries, valuations of unpaid care work typically land between roughly 10% and 60% of GDP, depending on the method and the country. For India, leading estimates put women's unpaid work alone at a very large share of GDP — tens of percent.
Unpaid care valued as % of GDP, under different methods (illustrative)
Illustrative, patterned on ranges in ILO & OECD valuation studies
Values are illustrative; the order of magnitude — care is worth a double-digit share of GDP — is robust across studies.
Estimate rangeDriven by
About 10% of GDPNarrow activity list, generalist wage
The spread is not disagreement about facts. It follows arithmetically from the method choices on the previous slide.
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Bigger than most named industries
Put the share in perspective: when valued, unpaid care work would typically dwarf sectors we treat as economically central — larger than manufacturing or transport in many national exercises.
The point is not the exact percentage. It is that the single largest 'industry' in most economies is one we have chosen not to count or fund.
Why the comparison helpsWhy to use it carefully
It makes an abstract share concreteThe sectors are not equivalent
It reaches finance audiencesIt invites a methodological fight
It justifies a budget lineA price can become a ceiling
The comparison to named sectors is rhetorically effective and is the point at which a sceptical economist will ask about the method. Have the answer ready.
The purpose is recognition, not a ranking. Nothing follows from care being "bigger than manufacturing" unless a policy decision hangs on it.
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What monetising care achieves
  • Makes the invisible visible to ministries that speak in money
  • Justifies public investment in childcare, eldercare and leave
  • Reveals the true scale of women's economic contribution
  • Lets us track whether care burdens are rising or being shared
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Why monetising care is also dangerous
  • A money value can flatten the relational, emotional core of care
  • Replacement-wage methods anchor care to already low care wages — circular undervaluation
  • A single number invites cost-cutting once care 'has a price'
  • Valuing is not the same as paying — the carer still earns nothing
Value care to argue for investment — but never let the price tag become the whole story of why care matters.
Risk of monetisingHow it shows up
Flattens the relational coreCare becomes a service unit
Anchors to low care wagesCircular undervaluation
A price invites cost-cuttingOnce measured, it can be squeezed
One number replaces the analysisThe distribution disappears
The circularity is the sharpest of these: valuing unpaid care at the domestic-worker wage prices it at a rate that is itself depressed because the work is coded as care.
Use valuation to win recognition and budget, and keep the hours and the distribution in view. The number is an argument, not the finding.
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Count it, but don't reduce it
Care is both an economic activity worth measuring and a human relationship that resists being priced. Hold both truths at once.
— a guiding principle for care valuation
The practical stance: use valuation to win recognition and resources, while insisting that care's worth is not exhausted by its monetary estimate.
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05
Section Five
The Gendered Division of Care
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Care falls on women and girls
Across cultures and income levels, unpaid care is not shared equally. It is assigned to women and girls by social norm, and reinforced by every institution from the family to the labour market.
3–10x
more time women spend on unpaid care than men, depending on the country
ILO (2018); TUS-type surveys
Girls
are drawn into fetching, cooking and sibling care earlier than boys
InstitutionHow it reinforces the division
FamilyAssigns tasks by gender from childhood
SchoolGirls absent for care; curricula assume it
Labour marketPenalises interruption; part-time is precarious
Public servicesDesigned assuming a carer is available
PolicyLeave attached to mothers, not parents
The pattern is over-determined: no single institution has to enforce it, because each one assumes the others already have.
That is also why single-point interventions disappoint. A crèche helps; a crèche plus school timings plus transport plus shared leave changes the arithmetic of a day.
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Care roles are taught, not innate
Girls are socialised into care from childhood — helping in the kitchen, minding younger siblings, fetching water. This is not biology; it is a gendered division of labour learned and enforced over time.
The cost is direct: care duties pull girls out of school and away from play, narrowing their futures before they choose them.
Learned earlyMeasurable cost
Girls mind younger siblingsAbsence and dropout
Girls help with cooking and fetchingStudy time lost
Boys are exemptedNo care skills acquired
The pattern is modelled at homeReproduced in the next generation
The third row matters for redistribution: a generation of men who were never expected to care do not acquire the skills or the habit, which makes later sharing harder.
Programmes that engage boys in care tasks are addressing supply for the next generation, which is slow and is one of the few things that shifts the norm.
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Care and time poverty
Time poverty
Having too little time left for rest, learning, paid work or leisure after unavoidable unpaid work is done. A person can be income-poor and time-poor at once — and care is the main driver of women's time poverty.
Where water and fuel are far, infrastructure thin, and appliances absent, the unpaid-care day stretches longest — and falls hardest on the poorest women.
Time poverty meansEven when
Too little time for restIncome has risen
Too little for paid workJobs are available
Too little for studySchool is free and near
Too little for treatment or travelThe service exists
A person can be income-poor and time-poor at once, and the two respond to different interventions. Cash does not buy time back where services do not exist to buy.
Measuring time poverty requires a threshold decision — how much discretionary time counts as enough — which is a judgement and should be stated.
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The 'second shift'
When women take paid work, they rarely shed unpaid care. They return home to a second shift of cooking, cleaning and caring — a phrase coined by sociologist Arlie Hochschild.
The result is a 'double burden': paid work added on top of unpaid work, rather than in place of it. Leisure and sleep are what get squeezed.
Adding paid workWhat is not subtracted
CookingStill hers
ChildcareStill hers
Elder careStill hers
The mental loadEntirely hers
Hochschild’s finding was that paid work adds to the day rather than replacing part of it, and the pattern has been replicated in time-use data across many countries.
This is the strongest argument for the Reduce and Redistribute Rs together: increasing women’s paid work without addressing care produces a longer day, not a better one.
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Care burden vs joining the workforce
Female labour-force participation vs unpaid-care hours, by group (illustrative)
Illustrative, patterned on PLFS & TUS-type relationships
Illustrative pattern: the heavier the unpaid-care load, the lower women's labour-force participation tends to be. Care is a key reason India's female LFP is low.
Relationship shownWhat it does not establish
Heavier care load, lower participationWhich causes which
Consistent across groupsThat care alone explains it
Visible in PLFS and TUS togetherThe size of the effect
The association is well established and the causal direction runs both ways: care limits participation, and women out of paid work absorb more care.
The policy reading does not depend on resolving that. Reducing and redistributing care relaxes the constraint whichever direction dominates.
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Care burdens stack with other inequalities
The care load is not the same for all women. It is heaviest where poverty, caste, rurality and lack of infrastructure intersect — the Dalit or Adivasi woman in a village without piped water carries far more than the salaried urban professional.
Care inequality is gendered and classed and casted. Policy that ignores this serves the already-advantaged first.
IntersectionEffect on the care load
PovertyNo purchased substitutes
RuralityWater, fuel and distance add hours
CasteWhich work is assigned, and to whom
Disability in the householdIntensive, unbounded care
Migration of adultsFewer hands, same demand
The average unpaid-care figure conceals an enormous range. The woman at the intersection of several of these rows carries a load the national number does not describe.
Disaggregate care data by at least two axes wherever the sample allows. The mean tells you the gap exists; the crossing tells you where to act.
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The mental load of care
Beyond the visible hours lies the mental load — the invisible work of planning, remembering and worrying: noticing the medicine is finished, that a child is unwell, that the elder needs a check-up. It rarely shows up in any survey.
This managerial burden of care falls almost entirely on women too — and unlike a task, it never clocks off.
Mental load taskVisible in a time-use diary?
Noticing the medicine is finishedNo
Remembering the immunisation dateNo
Planning meals around what is availableNo
Being available in casePartly, as supervision
The mental load is cognitive and continuous, so it fails the basic requirement of a diary instrument: it does not occupy a slot.
It also does not redistribute when tasks do. A household where a man cooks on request while a woman decides what is cooked has shared the task and not the load.
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Why the division matters for development
  • Women's unequal care load is a root cause of low female workforce participation
  • It drives girls' school dropout and limits their attainment
  • It undermines women's health, rest and economic independence
  • Redistributing care is therefore central to gender equality — not a side issue
Consequence of the unequal loadEvidence base
Low female labour-force participationPLFS alongside TUS
Girls’ dropoutEducation and household surveys
Women’s health and rest deficitTime-use and health data
Limited economic independenceAsset and account data
Each row can be evidenced from public Indian data, which matters when the claim is challenged as ideological rather than empirical.
Redistribution is presented last in most treatments and is the one with the largest potential effect, because it changes the share rather than the total.
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06
Section Six
Care & the Macroeconomy
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Social reproduction keeps the economy running
Social reproduction
The daily and generational work of producing and maintaining people — birthing, feeding, raising, healing, sustaining — that replenishes the labour force the market economy depends on.
The paid economy and the care economy are not separate. The first continuously draws on the second for its workers — yet rarely pays back into it.
Social reproduction includesWho currently absorbs it
Daily replenishment: food, rest, healthHouseholds, mostly women
Generational: bearing and raising childrenHouseholds, mostly women
Care during illness and old ageHouseholds, mostly women
Maintaining social ties and communityHouseholds, mostly women
The concept comes from feminist political economy and names the work the market economy depends on and does not pay for, at any point in the cycle.
Its analytical value is that it makes the dependency visible in both directions: markets rely on care, and care relies on the incomes markets provide.
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Depletion: when care runs down
Depletion
The harm that accumulates when the demands of care work outstrip the resources — time, energy, health, support — available to carers. Care extracted without replenishment exhausts the people who provide it.
Just as soil erodes if farmed without rest, carers deplete if society draws on their labour without investing back. Depletion is an economic risk, not only a personal one.
Depletion shows asObservable in
Health deteriorationAnaemia, chronic conditions
Exhaustion and sleep deficitTime-use residual
Withdrawal from paid workParticipation data
Reduced care qualityChild and elder outcomes
Depletion is Shirin Rai and colleagues’ term for what accumulates when care demands exceed the resources available to meet them, and it is measurable in principle.
Programmes that increase demands on carers without replenishment — a new committee, a new register, a new meeting — are drawing on this account.
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Care as investment, not cost
Spending on childcare, health and eldercare is routinely booked as current consumption — a cost to contain. But care builds human capital: healthy, educated, well-raised people who power future growth.
Treat care as social infrastructure — as much an investment as a road or a power line, and arguably with higher returns.
Booked asConsequence in the budget
Current consumptionA cost to contain; first to be cut
Investment in human capitalAppraised against long-run returns
The accounting classification is not neutral. It determines which appraisal method applies, and therefore whether long-run returns can be counted at all.
Several governments and international bodies have begun to argue for care as social infrastructure precisely to move it across this line.
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The care diamond
Care is provided through four institutions — the care diamond, a framework from Shahra Razavi (UNRISD, 2007). How much each corner does, and who carries the rest, is a core policy question.
CAREprovisionSTATEMARKETFAMILYCOMMUNITY
When the state and market do little, the family corner — in practice, women — absorbs the rest.
CornerWho paysWho does the work
StateTaxpayersPublic and honorarium workers
Razavi’s framework (UNRISD, 2007) makes the distribution a visible policy choice rather than a fact about a society.
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The four providers of care
CornerHow it provides careExample in India
StatePublic services, transfers, regulationAnganwadis, ASHAs, public health, maternity benefit
MarketPaid services bought by householdsCrèches, private nurses, domestic workers
FamilyUnpaid care within the householdMothers, daughters, daughters-in-law
CommunityInformal mutual supportNeighbours, kin networks, SHGs, faith groups
CornerIndia exampleLimit
StateAnganwadi, ASHA, public healthCoverage and quality
MarketCrèches, private nurses, domestic workAffordability
FamilyUnpaid care, mostly womenDepletion
CommunitySHGs, neighbours, mutual aidUnpaid and fragile
The family corner absorbs whatever the other three do not, which is why it is the residual rather than a choice made by anyone.
Community provision is often counted as a solution and is usually unpaid women’s work under another name. Check who is doing it before crediting it.
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The diamond is a policy lever
Where care sits in the diamond is a choice, not a given. Investing in the state and supporting the market corner shifts care off the family — off women — and into shared, paid provision.
Rebalancing the diamond is exactly what the 5 Rs framework, next, is designed to do.
Shift care towardRequires
The statePublic spending and staffing
The marketAffordability, or subsidy
Men within familiesNorm change and leave design
The communityPaying for what is now unpaid
Only the first two are directly purchasable, which is why care policy debates concentrate there even though the family corner carries the largest share.
Rebalancing is a distributional decision. Saying which corner you are shifting care to, and who pays, is the substance of a care policy.
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Care investment pays the economy back
Investing in care is not only fair — it is effective stimulus. Care services are labour-intensive, so spending creates many jobs per rupee, much of it for women, while also freeing other women to work.
Studies by the ILO and others find that investing in the care economy generates more jobs per unit of spending than equivalent investment in, say, construction.
Why care investment is effective stimulusMechanism
Labour-intensiveMore jobs per unit of spending
Jobs go largely to womenRaises women’s employment directly
Frees other women’s timeRaises participation indirectly
Low import contentSpending stays in the domestic economy
Modelling studies from the ILO and others find care investment creates substantially more jobs per unit than construction, with a much larger share going to women.
The last row is the one that matters in a macroeconomic argument: care spending leaks abroad far less than capital-intensive alternatives.
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07
Section Seven
The 5 Rs Framework
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From analysis to action: the Rs
The most influential policy framework for unpaid care began as Diane Elson's 3 Rs — Recognise, Reduce, Redistribute. The ILO later extended it with two more: Represent and Reward.
Together the 5 Rs turn the diagnosis — care is invisible and unequal — into a concrete agenda for policy and practice.
ROriginHardest part
RecogniseElsonGetting the measurement funded
ReduceElsonInfrastructure capital cost
RedistributeElsonConfronting norms
RepresentILOOrganising an isolated workforce
RewardILOPaying for what was assumed free
The framework is popular partly because it maps onto instruments: measurement, infrastructure, services and norms, labour rights, and wages.
It is not a menu. Reduce without Redistribute lowers the total and leaves the share unchanged; Recognise without either produces a report.
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The 5 Rs at a glance
RMeansWho proposed
RecogniseMake unpaid care visible & count itElson (3 Rs)
ReduceCut the drudgery via infrastructure & techElson (3 Rs)
RedistributeShift care from women to men & to the stateElson (3 Rs)
RepresentGive carers & care workers voiceILO addition
RewardPay & protect paid care workers decentlyILO addition
Attribution matters: Recognise–Reduce–Redistribute are Diane Elson's; Represent and Reward were added by the ILO.
RTypical instrumentTypical failure
RecogniseTime-use surveyMeasured, then shelved
ReduceWater, fuel, transportHours released, share unchanged
RedistributeServices and shared leaveUnderfunded; norms untouched
RepresentUnions and collectivesConsultation without authority
RewardWages and protectionHonoraria instead of pay
Each R has a characteristic way of being done nominally, and knowing them makes it possible to audit a care policy rather than accept its self-description.
The clearest test across all five is money: which Rs have a budget line, and how large it is relative to the claim.
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Recognise
Recognise unpaid care as work — real, skilled, economically essential labour. This means measuring it (time-use surveys), naming it in policy, and valuing it in satellite accounts.
Recognition is the precondition for everything else: you cannot reduce, redistribute or reward what you refuse to see.
Recognition instrumentWhat it produces
Time-use surveyHours, by sex and activity
Satellite accountA monetary value alongside GDP
Care questions in programme baselinesLocal evidence
Naming care in policy documentsA mandate to act
Recognition is the precondition and is frequently mistaken for the whole agenda. A country can measure care meticulously and redistribute none of it.
For a practitioner the third row is the one you control: two time-use questions in your own baseline make the care load in your programme area visible.
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Reduce
Reduce the sheer drudgery of care through infrastructure and technology — piped water, clean cooking fuel (LPG), electricity, sanitation, better transport.
A tap in the home and an LPG stove can return hours a day to a woman. Schemes like Jal Jeevan Mission and Ujjwala are, in effect, care-reduction policies — even if rarely framed that way.
InfrastructureHours it can return
Piped water at homeLarge where collection is distant
LPG or clean cooking fuelCollection plus cooking time
ElectricityExtends usable hours; enables appliances
Sanitation at homeTime and safety
Reliable transportAccess to services and work
Reduce is the R with the clearest evidence and the most straightforward delivery, because it works through capital investment rather than through changing behaviour.
It also has a limit worth naming: reducing drudgery does not touch the share, and hours released can be absorbed by other unpaid work rather than by rest or earning.
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Redistribute
Redistribute the care that remains — from women to men within the household, and from families to the state and market. This is the hardest R, because it confronts gender norms head-on.
Within the home
Men sharing cooking, cleaning, childcare; paternity leave; changing norms about whose job care is.
To state & market
Public crèches, eldercare, school meals, anganwadis — care moved out of the household entirely.
Redistribute fromToInstrument
WomenMenShared and non-transferable leave; norms work
FamiliesThe statePublic childcare and eldercare
FamiliesThe marketAffordable services, subsidised
HouseholdsThe communityOnly if it is paid
Non-transferable paternity or parental leave is the instrument with the best evidence for shifting the within-household share, because take-up rises sharply when the entitlement is lost if unused.
This is the hardest R because it is the only one that requires someone to do more of something. That is why it is usually last and least funded.
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Represent
Represent means giving carers and paid care workers a voice — in unions, collectives and policy-making — so that those who do care work help shape the rules that govern it.
Domestic-worker unions and ASHA/anganwadi collectives bargaining for pay and protection are 'Represent' in action.
Represent meansExample
Carers in policy-makingConsultation with real authority
Paid care workers organisedDomestic-worker unions
Frontline workers bargainingASHA and anganwadi collectives
Care users’ voiceElders and disabled people on their own terms
Representation is what makes the other Rs durable, because it creates a constituency that will defend a care budget line when it comes under pressure.
The last row is regularly omitted: care policy is written about elders and disabled people far more often than with them.
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Reward
Reward paid care work properly — decent wages, social protection, safe conditions and recognition of skill. Today, care jobs are among the lowest-paid and least-protected, precisely because care is undervalued.
Reward closes the loop: it insists that the people society relies on to provide care are not themselves pushed into poverty by doing it.
Reward meansConcretely
Decent wagesNot honoraria for full-time work
Social protectionPension, insurance, leave
Safe conditionsEspecially in private homes
Recognition of skillTraining, certification, a career path
The first row is a live dispute in India, where frontline workers doing sustained, required work are classified as volunteers and paid an honorarium.
Reward closes the loop the whole course describes: the care penalty exists because care is undervalued, and paying properly is what contradicts the valuation.
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The Rs build on one another
01
RECOGNISE: see & count the care
02
REDUCE: cut the drudgery
03
REDISTRIBUTE: share what remains
04
REPRESENT & REWARD: voice & pay for carers
They are not a menu to pick from but a sequence — recognition unlocks the rest, and reward without representation rarely sticks.
If you skipYou get
RecogniseNo evidence base; no budget argument
ReduceRedistribution of an unnecessarily large total
RedistributeA smaller burden, same share
RepresentPolicy that does not survive a budget cycle
RewardA care workforce that cannot be sustained
The sequence is not rigid, but the dependencies are real: you cannot redistribute what has not been recognised, and reduction is cheaper than redistribution.
Most national care policies stop after the second R, which is why measured care burdens fall slowly while the gender share barely moves.
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The 5 Rs as a programme checklist
  • Recognise: does our data even capture unpaid care?
  • Reduce: are we cutting drudgery (water, fuel, transport)?
  • Redistribute: who carries the care our programme assumes?
  • Represent: do carers have a say in the design?
  • Reward: are the care workers we rely on paid and protected?
Run any care-relevant intervention through the five Rs — gaps jump out fast.
Checklist questionA failing answer
Does our data capture unpaid care?"We ask about employment"
Are we cutting drudgery?"That is infrastructure, not our sector"
Who carries the care we assume?"Volunteers"
Do carers have a say?"We consulted the community"
Are care workers paid properly?"They receive an honorarium"
Run this on your own programme design. Most designs fail the third question, and failing it is what makes the others academic.
The five questions take ten minutes at a design meeting and are the practical form of everything in this course.
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08
Section Eight
Care Policies
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What care policy looks like
Care policy is the set of public actions that recognise, reduce, redistribute, represent and reward care. Its main instruments cluster around children, the elderly, leave, and income support.
01
SERVICES: childcare, eldercare, health
02
LEAVE: maternity, paternity, parental
03
TRANSFERS: maternity benefit, pensions
04
REGULATION: rights for care workers
InstrumentWhich R it serves
Childcare and ECCE servicesRedistribute
Water, fuel, transportReduce
Parental leaveRedistribute
Care worker wages and protectionReward
Time-use measurementRecognise
Mapping instruments to Rs is a quick way to audit a national care policy: most cluster in one or two, and the gaps are usually Represent and Reward.
Income support belongs across several. A cash transfer can reduce a purchased-service constraint, or substitute for a service that should exist.
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Childcare & ECCE
Early Childhood Care and Education (ECCE) — quality care and learning for children under six — does double duty: it nurtures children and frees mothers' time for paid work, study or rest.
India's National Education Policy 2020 makes ECCE for all children up to age six a priority — a major care-policy commitment if resourced and delivered.
ECCE doesProvided that
Supports child developmentQuality and staffing are adequate
Frees maternal timeHours match a working day
Creates care jobsThey are paid properly
Prepares children for schoolIt is education, not custody
The hours condition is decisive and frequently unmet: a centre open for three hours does not enable paid work, however good it is for the child.
NEP 2020 brought ECCE into the formal education framework, which is a real opening — and the delivery question remains anganwadi capacity and staffing.
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Anganwadis and the ICDS
The Integrated Child Development Services (ICDS), delivered through anganwadi centres, is one of the world's largest care programmes — offering nutrition, pre-school and health services to young children and mothers.
~14 lakh
anganwadi centres operating across India
Ministry of Women & Child Development
Under 6
the age group ICDS is designed to reach, plus pregnant & nursing mothers
Anganwadis are care infrastructure already in place — strengthening them is among the highest-leverage care investments India can make.
ICDS providesConstraint
Supplementary nutritionSupply and quality
Pre-school educationWorker time split across roles
Health and referral servicesCoordination with the health system
A universal-in-principle networkInfrastructure and staffing
The anganwadi worker carries nutrition, pre-school, health outreach and a growing reporting burden, usually alone or with one helper, for an honorarium.
Any proposal to expand what anganwadis deliver is a proposal to add to that person’s day. Say so, and cost it, or the expansion is unfunded by design.
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Parental leave
Paid leave lets parents care for a new child without losing income. India's Maternity Benefit (Amendment) Act, 2017 raised paid maternity leave to 26 weeks for eligible women in the organised sector.
But two gaps remain: it covers mainly the formal sector — a small minority of working women — and offers little statutory paternity leave, leaving care 'her' job by default.
Maternity Benefit Act, 2017Gap
26 weeks paid leaveOrganised-sector employees only
Creche duty above a size thresholdEnforcement is uneven
Applies to mothersNo comparable paternity entitlement
Cost falls on the employerArgued effect on hiring women
The two gaps compound: coverage excludes the vast majority of working women in India, and the entitlement is attached to mothers, so it does not redistribute.
Maternity benefit schemes for informal workers exist and are far smaller in value. The design question is whether the entitlement follows the job or the person.
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Eldercare
India is ageing fast. As elders multiply and joint families shrink, eldercare is becoming a major unmet need — today carried almost entirely by families, again mostly by women.
Old-age pensions, geriatric health services and supported eldercare are an emerging frontier of care policy — one most South Asian states are barely beginning to address.
Eldercare needCurrent provision
Daily assistanceFamily, mostly women
Geriatric health servicesThin and urban-concentrated
Income in old agePensions, low in value
Supported livingAlmost entirely private
Eldercare is where the care crisis will arrive fastest, because the demographic change is already determined and the provision is almost entirely familial.
It also falls on women twice: as the carers, and as the majority of the very old, who are more likely to be widowed and without income.
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Social protection as care policy
Pensions, maternity benefits, disability support and child grants are care policy by another name — they put resources behind the people doing or receiving care, reducing the unpaid burden.
  • Maternity benefit schemes (e.g. PMMVY) support new mothers
  • Old-age and widow pensions support elder and survivor care
  • Disability allowances recognise the cost of caring for and as disabled people
Social protection instrumentCare function
Old-age pensionReduces dependence on family carers
Maternity benefitIncome during a care period
Disability supportFunds care that families otherwise absorb
Child grantsOffsets the cost of raising children
None of these is labelled care policy in most budgets, and all four determine how much unpaid care a household must supply.
Reading the social protection budget as care policy is a useful exercise: it usually reveals more care spending than the care line does, and more gaps.
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What strong care systems look like
Some countries treat care as core infrastructure: universal childcare, generous and shared parental leave, public eldercare, and decently paid care workers. The Nordic countries are the best-known example.
The lesson for South Asia is not to copy a rich-country model wholesale, but to see that a high-care, high-participation equilibrium is a policy choice, not an accident of wealth.
Strong care system featureWhy it matters
Universal childcareAccess does not depend on income
Non-transferable parental leaveTake-up by fathers rises sharply
Public eldercareRemoves the residual from families
Decently paid care workforceSustains quality and supply
The Nordic systems are the usual reference and were built over decades with a tax base that few developing economies have. The lesson is directional rather than a template.
The transferable point is the second row: making a portion of leave non-transferable is a low-cost design change with well-documented effects on the within-household share.
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Reading a policy through the care lens
  • Does it reduce unpaid drudgery, or merely add to women's day?
  • Does it redistribute care, or assume women will absorb it?
  • Is it tied to formal employment — thereby excluding most women?
  • Does it fund the care workers who actually deliver it?
A 'good' scheme that quietly relies on unpaid female time is shifting cost onto women, not solving the problem.
Ask of a policyA failing answer
Does it reduce unpaid work?"It raises awareness"
Does it redistribute care?"Women will be supported"
Is it tied to formal employment?"It covers employees"
Does it fund the care workforce?"Volunteers will deliver it"
The third question is the decisive one in South Asia, where entitlements attached to formal employment reach a small minority of working women.
The fourth is the free-riding test. A policy delivered by unpaid or honorarium workers is transferring cost rather than funding care.
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09
Section Nine
Paid Care Work
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Who does paid care work?
Paid care work spans the home, the clinic and the classroom: domestic workers, nurses and midwives, teachers, child- and eldercare staff, and India's vast army of frontline community health and nutrition workers.
It is a heavily feminised workforce — women dominate paid care globally — which is one reason it is so persistently underpaid.
Paid care occupationFormal?
Domestic workerRarely
ASHAClassified as volunteer
Anganwadi workerHonorarium
Nurse, midwifeOften, in public facilities
Private crèche staffRarely
Most of India’s paid care workforce sits outside formal employment, which means outside minimum wage, social security and the enforcement machinery attached to them.
The classification is the policy. Whether a worker is called an employee, a volunteer or self-employed determines everything that follows.
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Domestic workers
Millions of women in India work as paid domestic workers — cooking, cleaning and caring in others' homes. Largely informal, the work is often unregulated, low-paid and without social protection.
Because it happens in private homes and is seen as 'women's work', domestic labour is among the least protected forms of employment — despite the ILO's Domestic Workers Convention (C189) setting standards for it.
Domestic work is hard to regulate becauseConsequence
The workplace is a private homeInspection is impractical
The employer is a householdNo HR, no contract
Work is often live-inNo boundary on hours
Workers are isolatedCollective action is difficult
ILO Convention 189 sets standards for domestic workers, and ratification and enforcement remain limited. Several Indian states have brought domestic work under minimum-wage schedules.
Organising has nonetheless worked where it has been sustained — SEWA and domestic-worker unions are the clearest South Asian examples.
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ASHA, anganwadi & ANM workers
India's public health and nutrition system runs on frontline women workers: ASHAs (community health), anganwadi workers (child development) and ANMs (auxiliary nurse midwives).
ASHAs are formally 'volunteers' paid through task-based incentives rather than a salary — a vivid example of essential care labour kept cheap by being classed as something other than work.
Frontline workerStatusContested on
ASHAVolunteer, task-based incentivesWages, regularisation
Anganwadi workerHonorariumWages, pension
ANMSalaried, usuallyWorkload, vacancies
These workers deliver a large share of India’s primary health and nutrition outreach, and their status has been the subject of sustained collective action and litigation.
For a practitioner the practical point is narrower: any programme routed through them is adding to a day that is already full and often unpaid.
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The 'care penalty'
Care penalty
The wage discount attached to care jobs: even after accounting for skill and education, work involving care for people tends to pay less than comparable work — a pattern documented by Nancy Folbre and others.
The penalty is self-reinforcing: care is assumed to be a natural female trait rather than a skill, so it is paid as if anyone could do it for love — which keeps wages low and the workforce female.
Care penalty meansEvidence
Care jobs pay lessAfter controlling for skill and education
The gap persists across countriesDocumented in comparative studies
It applies to men in care jobs tooThe penalty attaches to the work
It compounds with the gender pay gapCare jobs are largely women’s
The third row is the strongest evidence that the penalty attaches to the occupation rather than to who does it: men in care occupations earn less than comparable men elsewhere.
Folbre’s explanation is that care produces benefits that spill over to people who do not pay for them, so the market price sits below the social value.
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Why care work stays cheap
  • Care is seen as an extension of women's 'natural' unpaid role — so 'worth less'
  • Its quality is hard to measure, so it is poorly rewarded
  • Much of it is informal, isolated, and hard to organise
  • Those who need care often cannot pay much, squeezing wages further
None of these is a law of nature. Each is a policy and norm choice that can be changed.
Why care stays cheapWhat would change it
Seen as natural, not skilledCertification and career paths
Quality is hard to measureStandards and inspection
Informal and isolatedOrganising and registration
Users cannot payPublic funding
The fourth row is decisive and is why care wages will not rise through market pressure: those who need care most are least able to pay for it.
That makes care wages a public-finance question rather than a labour-market one, which is where the argument has to be made.
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Decent work for care workers
The ILO's decent work agenda sets the standard for paid care: fair wages, social protection, safety, reasonable hours, and the right to organise — the 'Reward' and 'Represent' Rs in practice.
  • Minimum-wage coverage and timely pay
  • Social security: pensions, health, maternity
  • Recognition of skill and formal status
  • The right to unionise and bargain collectively
Decent work elementCare-specific difficulty
Fair wagesEmployer is a household or the state
Social protectionInformal status excludes
SafetyPrivate homes; isolation
Reasonable hoursLive-in and on-call work
Right to organiseDispersed workforce
Each row has an ordinary answer in factory employment and a hard one in care, which is why care work needs specific instruments rather than general labour law.
Registration is usually the first practical step: a worker who is not recorded anywhere cannot be reached by any of the other four.
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Care wages sit at the bottom
Average monthly earnings by occupation, relative to all workers (illustrative)
Illustrative, patterned on care-penalty wage research
Illustrative pattern: paid care occupations cluster well below average earnings — the care penalty made visible.
OccupationPosition in the earnings distribution
Domestic workNear the bottom
Frontline health and nutritionHonorarium, below wage floors
Care occupations sit below average earnings as a group — what the care-penalty literature measures.
Because users cannot pay more, the level is set by public funding, not by demand.
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Why decent care jobs matter twice over
Improving paid care work is a double dividend: it lifts a large, female workforce out of low-wage precarity, and it raises the quality of the care that children, patients and elders receive.
Underpaid, exhausted carers cannot give good care. Rewarding care workers is also a way of caring for everyone they serve.
Improving paid careSecond dividend
Lifts a large female workforceOut of low-wage precarity
Raises care qualityFor children, patients and elders
Reduces turnoverContinuity of care
Attracts and retains skillBetter outcomes
Underpaid and exhausted carers deliver worse care, so the wage question is a quality question as well as a justice one — which is the argument that reaches service ministries.
Turnover is the measurable link between the two. Where it is high, the case for pay can be made in terms of continuity and training cost.
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10
Section Ten
Care in South Asia
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Care in a region in transition
South Asia carries a distinctive care profile: very high unpaid-care gender gaps, low female labour-force participation, thin public care services, and rapid demographic and social change all at once.
Understanding care here means reading these forces together — family structure, migration, ageing and informality.
South Asian featureConsequence
Very wide unpaid-care gender gapLittle discretionary time for women
Low female labour-force participationCare is a leading explanation
Thin public care servicesFamily absorbs the residual
High informalityEntitlements do not reach most women
Rapid demographic changeDemand rising as supply falls
The five interact rather than adding up. Thin services plus high informality means neither the state nor the employer is a route to care support for most women.
That is why South Asian care policy has to reach people through residence and citizenship rather than through employment, which is a different design problem.
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Joint families and migration
The joint family once spread care across many hands. As families nuclearise and working-age members migrate for work, that informal care network frays — leaving fewer people to care for children and elders.
Migration adds a twist: women left behind may gain autonomy but also absorb all the care once shared, while migrant women may leave their own families to care for others'.
ChangeEffect on care supply
Nuclearisation of householdsFewer hands per household
Male out-migrationCare and farm work fall on women who remain
Female migration for workCare chains: care transferred to others
Rising longevityLonger periods of eldercare
The third row names global care chains: a woman migrating for paid care work leaves care needs behind, usually filled by another woman further down the chain.
Left-behind households are a distinctive South Asian pattern, and the care and agricultural work that shifts to women who remain is rarely counted as a migration effect.
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The care crisis
A care crisis emerges when care demand rises (more elders, more young children needing ECCE) while supply falls (smaller families, more women in paid work, weak public services) — with no one filling the gap.
South Asia risks resolving this crisis the old way — by quietly loading still more unpaid work onto women — unless the state and market step in.
Demand risingSupply falling
More eldersSmaller households
ECCE expectationsMore women in paid work
Longer illness episodesMigration of adults
Higher care standardsThin public provision
A care crisis is the gap between these two columns, and the question is only who absorbs it. Historically the answer has been women, at the cost of their own participation and health.
The alternative resolutions — public provision, affordable market services, redistribution within households — all require a decision. The default requires none.
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Ageing populations
South Asian populations are ageing rapidly. India's share of people aged 60+ is projected to roughly double in the coming decades, sharply increasing the need for eldercare.
With pensions thin and eldercare services scarce, this demand will land first on families — and within families, on women — unless care policy gets ahead of it.
Ageing consequencePolicy needed now
More people over 60Geriatric services and training
Longer periods of frailtySupported living and home care
Thin pension coverageIncome security in old age
Family carers ageing tooA paid eldercare workforce
Eldercare infrastructure takes a decade to build and the demographic transition is already under way, which makes this the clearest case for acting ahead of demand.
The workforce is the binding constraint rather than the buildings. Training and paying eldercare workers is where the lead time is longest.
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NEP, ECCE and the young
At the other end of life, the region's still-large child population means early-childhood care is a present, not future, priority. India's NEP 2020 and its push on ECCE offer a real opportunity to build care infrastructure for the young.
Anganwadis upgraded into genuine ECCE centres could simultaneously support children's development and women's employment — a classic care 'double dividend'.
ECCE opportunityWhat it requires
NEP 2020 brings under-6 into the frameworkFunding and staffing
Anganwadi network already existsUpgrading, not building from nothing
Large child population nowActing within this window
Double dividendHours that match a working day
The existing anganwadi network is the asset that makes rapid ECCE expansion plausible in India, and its workers are the constraint on how much more it can carry.
The window is real: the child population is large now and will shrink. Infrastructure built for it will later be available for eldercare demand.
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Informality shapes everything
The defining feature of South Asian care is informality: the vast majority of workers — and almost all care workers — are outside formal employment, beyond the reach of leave laws, social security and labour protection.
Policies pegged to formal jobs — like 26-week maternity leave — therefore miss most women. Care policy here must be designed for the informal majority, not the formal minority.
Informality meansWhich excludes women from
No employer of recordMaternity benefit
No contractLeave entitlements
No social security registrationPension and insurance
No inspectionWage and safety enforcement
Because the great majority of Indian women who work do so informally, every entitlement designed around formal employment reaches a small minority of them.
Universal or residence-based provision is the design response, and it is more expensive per head and reaches the people employment-linked schemes cannot.
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South Asia's care paradox
South Asia presents a striking puzzle: women's education and household incomes have risen, yet female labour-force participation has stayed low — even fallen. The unequal, unsupported care burden is a leading explanation.
Growth alone has not freed women's time. Without care services and shared care at home, rising prosperity leaves the unpaid burden intact — and women out of the paid workforce.
RisingYet participation flat or falling
Women’s educationThe care load did not fall
Household incomesWithdrawal from distress work
UrbanisationFewer home-based options
Service-sector growthJobs not accessible without care support
The paradox has several proposed explanations and the unequal, unsupported care burden is among the strongest. PLFS and TUS together are the domestic evidence base.
The recent reported uptick is largely rural self-employment, which is worth reading carefully: a rise in the participation rate is not automatically a rise in good work.
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What works in the region
  • SHGs & collectives — SEWA, self-help groups organising care and domestic workers
  • Crèches at worksites — e.g. mobile crèches for construction workers' children
  • Community kitchens & school meals — reducing the daily cooking burden
  • Water & LPG schemes — Jal Jeevan, Ujjwala cutting fetching and fuel time
The building blocks of a care system already exist in the region — the task is to fund, connect and scale them.
What worksWhy
SEWA and worker collectivesOrganise an isolated workforce
Worksite and mobile crèchesCare where the work is
Community kitchens, school mealsReduce daily cooking time
Water and LPG programmesReturn hours directly
SHG federationsDeliver and demand services
The crèche examples matter because they solve the hours problem: care located at the worksite, for the duration of the shift, is what makes paid work possible.
Each of these exists at scale somewhere in the region. The gap is not proof of concept but funding and coverage.
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11
Section Eleven
Practice & Policy
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Investing in the care economy
The closing argument is simple: investing in care is one of the highest-return, most equitable investments a developing economy can make — for children, for women, for elders, and for growth itself.
Double dividend
care jobs created + other women freed to work
Human capital
healthier, better-raised, better-educated future workers
InvestmentReturns to
ChildcareChildren, mothers, and care workers
EldercareElders, family carers, and workers
Water and fuelEvery household member’s time
Care worker payQuality and supply of care
The double-dividend argument is that care spending pays twice — once through the service and once through the time and earnings it releases.
It is a strong argument and is not unlimited: the returns depend on there being jobs for the time released, which is a separate policy question.
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Care investment as a jobs engine
Jobs created per unit of public investment, by sector (illustrative)
Illustrative, patterned on ILO care-economy investment studies
Illustrative pattern, robust in direction: because care is labour-intensive, a rupee invested in care typically creates more jobs — many for women — than the same rupee in construction.
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What care investment buys
Invest in…Immediate effectLonger-run return
Childcare / ECCEFrees mothers' time; care jobsChild development; women's earnings
EldercareRelieves family carersDignity for elders; women re-enter work
Water / fuel / sanitationCuts unpaid drudgery hoursGirls in school; women's health
Decent pay for care workersLifts a feminised workforceBetter-quality care for all
Every row delivers a care and an economic return — the heart of the 'care as investment' case.
Invest inImmediateLonger run
ECCEFrees time; creates jobsChild development; women’s earnings
EldercareRelieves family carersDignity; re-entry to work
Water, fuel, sanitationReturns hoursHealth; girls’ schooling
Care worker payLifts a low-wage workforceQuality and retention
Read the two columns together when making a budget case. The immediate effects are what a finance ministry can verify; the longer-run ones are what justify the scale.
Water and sanitation are rarely presented as care policy and are among the largest hour-returning investments available.
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What this means for your work
  • Count care — build unpaid-care questions into your baselines
  • Don't free-ride on women — check whose unpaid time your programme assumes
  • Reduce drudgery — water, fuel and childcare are care policy
  • Reward care workers — the ASHAs and anganwadi staff you rely on deserve decent pay
Practice stepWhat it looks like in your work
Count careTwo time-use questions in the baseline
Do not free-rideCost the unpaid time your design assumes
Reduce drudgeryTreat water, fuel and childcare as in scope
Reward care workersPay, do not "engage volunteers"
Schedule around careAsk women to set the timing
The second is the one that most changes designs. If your programme needs 200 hours of women’s time, it has a 200-hour input that is not in the budget.
Writing that input into the budget, even at a notional rate, makes it visible to everyone reviewing the design — which is the whole point of the first R.
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An agenda for care
  • Fund ECCE and anganwadis as genuine care infrastructure
  • Extend leave and maternity benefits to informal workers
  • Build eldercare ahead of the ageing wave
  • Formalise, pay and protect the paid-care workforce
  • Invest in water, fuel and sanitation to cut unpaid hours
Every item maps to an R — the framework doubles as a policy to-do list.
Policy askWhich R
Fund ECCE and anganwadis properlyRedistribute and Reward
Extend leave to informal workersRedistribute
Build eldercare ahead of the waveRedistribute
Formalise and pay the care workforceReward and Represent
Invest in water, fuel and transportReduce
An agenda that covers all five Rs is unusual. Most national care policies concentrate on Reduce and on services for children, and stop.
Where you can only push one, push the one with a measurable near-term effect in your context. Recognition first if nothing is measured; otherwise reduction.
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A short reading list
  • The Invisible Heart: Economics and Family Values — Nancy Folbre
  • Who Pays for the Kids? — Nancy Folbre (the economics of care)
  • Diane Elson — the 'Recognise, Reduce, Redistribute' framework
  • Care Work and Care Jobs for the Future of Decent Work — ILO (2018)
  • Shahra Razavi — the 'care diamond' (UNRISD, 2007)
Pair this deck with ImpactMojo's Feminist Economics, Gender & Development and Social Protection 101 courses.
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If you remember five things
  • Care is the economy beneath the economy — everything rests on it
  • GDP hides unpaid care — the SNA boundary leaves it out
  • Care falls on women and girls — unequally, and at a cost
  • The 5 Rs are the toolkit — Recognise, Reduce, Redistribute, Represent, Reward
  • Care is investment, not cost — and a powerful jobs engine
TakeawayThe question it becomes
Care underpins everythingWhat does this design assume about care?
GDP hides unpaid careIs it in our data at all?
It falls on women and girlsWhose time are we spending?
The 5 Rs are the toolkitWhich R does this serve?
Care is investmentHave we costed it as one?
Five questions, askable in any design meeting without preparation. They are the practical residue of the whole course.
If you keep one, keep the third. Almost every unexamined assumption in development programming resolves into unpaid women’s time.
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