Estimating NTTA for Brazil from a single piece of housework time information

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Clifford French
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1 Estimating NTTA for Brazil from a single piece of housework time information Authors: Jordana Cristina, Simone Wajnman and Cassio Turra Presenting: René Lazcano

Time use surveys are the main input for NTTA estimates Background Currently, 18 countries in Latin America and the Caribbean collect time use data Brazil is the only country

2 Time use surveys are the main input for NTTA estimates Background Currently, 18 countries in Latin America and the Caribbean collect time use data Brazil is the only country on this list that limits data collection to a single piece of information: The total number of hours dedicated per week to housework, available in the National Household Survey

3 Assessing data quality in Brazil Questions in the National Household Survey: 1. "Did you take care of housework in the reference week? 2. "Number of hours normally devoted to housework per week Limitations: Self-interpretation of housework Possibility of disregarding childcare as housework Personal estimate of the number of hour for the whole week

4 Figure 1. Daily per capita production of housework by age and gender, Brazil, 2003, 2008 and 2013 hours horas per por day dia Different pattern from several NTA countries, suggesting underreporting of childcare idade Homens, Men, 2003PNAD 2003 Mulheres, Women, 2003 PNAD 2003 Homens, Men, 2008PNAD 2008 Mulheres, Women, 2008 PNAD 2008 Homens, Men, 2013PNAD 2013 Mulheres, Women, 2013 PNAD 2013 Source: Own calculations based on National Household Survey

5 Assessing data quality in Brazil We compared to the National Time Use Survey (ENUT ) from Colombia Colombia and Brasil share socio-demographic, economic and cultural traits Similar total fertility rate, female labour force participation and late labour legislation for domestic workers

7 Figure 2. Daily per capita production of housework by age and gender, Brazil 2013 and Colombia hours horas per por day dia idade HOMENS, MEN, BRAZIL BRASIL MULHRES, WOMEN, BRAZIL BRASIL HOMENS, MEN, COLOMBIA COLÔMBIA MULHERES, WOMEN, COLOMBIA COLÔMBIA Source: Own calculations based on National Household Survey (Brazil 2013) and National Time Use Survey (Colombia )

8 Figure 3. Average number of daily hours of housework in Colombia (excluding childcare) and housework in Brazil by age and sex hours per day horas por dia idade HOMENS, MEN, BRAZIL BRASIL MULHERES, WOMEN, BRAZIL BRASIL HOMENS, MEN, COLOMBIA COLÔMBIA MULHERES, WOMEN, COLOMBIA COLÔMBIA Source: Own calculations based on National Household Survey (Brazil 2013) and National Time Use Survey (Colombia )

childcare Incorporating childcare into Brazilian data: Indirect standardization, borrowing the standard from Colombia

9 Proposed methodology Assumption: Respondents report correctly the number of hours of domestic activities not involving childcare The difference in the domestic production age profile is a result of under-reporting of hours of childcare Incorporating childcare into Brazilian data: Indirect standardization, borrowing the standard from Colombia Adjustment ratio: Ratio between the average number of daily hours dedicated to childcare and hours of other domestic activities

Proposed methodology CCCCCC KK ii,jj,ll,mm,nn = CCCC CCCCCC ii,jj,ll,mm,nn CCCCCC HHHH ii,jj,ll,mm,nn CCCCCC CCCC ii,jj,ll,mm,nn : average number of daily hours dedicated to childcare in Colombia

10 Proposed methodology CCCCCC KK ii,jj,ll,mm,nn = CCCC CCCCCC ii,jj,ll,mm,nn CCCCCC HHHH ii,jj,ll,mm,nn CCCCCC CCCC ii,jj,ll,mm,nn : average number of daily hours dedicated to childcare in Colombia CCCCCC HHWW ii,jj,ll,mm,nn : average number of daily hours dedicated to other domestic activities in Colombia BBBBBB CCCC ii,jj,ll,mm,nn CCCCCC = KK ii,jj,ll,mm,nn BBBBBB HHHH ii,jj,ll,mm,nn ii: sex jj: age ll: age of the youngest child at the household mm: occupational status nn: local of residence (urban or rural)

Proposed methodology The adjustment ratios were estimated at the individual level

childcare in Brazil The outlier adjustment ratio values were re-estimated through a

function, using the same set of variables selected for the calculation of the ratio

11 Proposed methodology The adjustment ratios were estimated at the individual level Through a combination of the databases, we estimated the under-reported time of childcare in Brazil The outlier adjustment ratio values were re-estimated through a generalized linear regression model with identity and gaussian exponential family function, using the same set of variables selected for the calculation of the ratio Using survey weights we estimated the mean values of the adjustment ratio for the subgroups

12 Figure 4. Average number of child-care hours by age and sex, Brazil 2013 estimate and Colombia hours per day WOMEN, BRAZIL WOMEN, COLOMBIA MEN, BRAZIL MEN, COLOMBIA Source: Own calculations based on National Household Survey (Brazil 2013) and National Time Use Survey (Colombia )

13 Figure 5. Daily per capita production of housework by age and gender, Brazil 2013 hours per day idade Women, Mulheres, after dados adjustment corrigidos Women, Mulheres, before dados adjustment sem correção Men, Homens, after dados adjustment corrigidos Men, Homens, before dados adjustment sem correção Source: Own calculations based on National Household Survey (Brazil 2013) and National Time Use Survey (Colombia )

14 General housework: Estimating consumption We assumed that each household member consumes the same share of housework, following Donehower (2014) Childcare Consumed only by children In case of more than one child living in the household, equivalence scale was used to estimate the consumption of each child

15 Figure 6. Daily per capita consumption of unpaid housework in hours by age and gender, Brazil 2013 hours horas por per dia day idade MEN HOMENS WOMEN MULHERES Source: Own calculations based on National Household Survey (Brazil 2013)

16 Figure 7. Net time transfers by age and gender, Brazil 2013 hours per day horas por dia idade MEN HOMENS WOMEN MULHERES Source: Own calculations based on National Household Survey (Brazil 2013)

17 Figure 8. Net time transfers in hours by age, gender and income decile group, Brazil 2013 Women Men hours per day hours per day bottom 6th 2nd 3rd 4th 5th 7th 8th 9th Top bottom 6th 2nd 3rd 4th 5th 7th 8th 9th Top Source: Own calculations based on National Household Survey (Brazil 2013)

18 Substitution method Wage used for persons in the market performing general housework and childcare Pricing household labour Median hourly earnings by occupation calculated for each state in Brazil to take into account the large regional differences in the labour market The total value of labour devoted to home production of nonmarket services represented 10.4% of Brazilian GDP in 2013

19 Figure 8. Average value of market and non market production by age and sex, Brazil 2013 MEN WOMEN Annual income market income non market income Source: Own calculations based on National Household Survey (Brazil 2013)

20 Estimating the complete life cycle deficit Next steps To explore different patterns for the adjustment of Brazilian data, considering other countries

21 Thank you!

COUNTING WOMEN S WORK IN SOUTH AFRICA MORNE OOSTHUIZEN, UNIVERSITY OF CAPE TOWN 11TH GLOBAL MEETING OF THE NTA NETWORK, SENEGAL, JUNE 2016

COUNTING WOMEN S WORK IN SOUTH AFRICA MORNE OOSTHUIZEN, UNIVERSITY OF CAPE TOWN 11TH GLOBAL MEETING OF THE NTA NETWORK, SENEGAL, 20-24 JUNE 2016 This research is made possible by ``Counting Women's Work'',