Research Topics

A Comparative Analysis for Sub-Saharan African Countries

In this working paper, we analyze factors that may explain gender differences in the allocation of time to household production in sub-Saharan Africa. The study uses time use survey data to analyze the determinants of time spent on household production by husbands and wives in nuclear families in Ethiopia, Ghana, Tanzania, and South Africa. We assume that the time spent by each spouse is a function of personal and household characteristics. A bivariate Tobit model is used to estimate the marginal impact of a set of key variables that figure recurrently in the literature on time allocation. We observe a high degree of variability in the results for the set of countries, which does not allow us to draw hard general conclusions. We do find some weak evidence that supports time availability and gender ideology theory as well as for the hypothesis that bargaining power plays a role in explaining the intrahousehold allocation of household production.

This paper presents a description of the quality of match of the statistical matches used in the Levy Institute Measure of Time and Consumption Poverty (LIMTCP) estimates prepared for Ethiopia and South Africa. For Ethiopia, the statistical match combines the Ethiopian Socio-economic Survey—Wave 3—2015/2016 (ESS) with the Ethiopian Time Use Survey (ETUS) 2013. For South Africa it combines the October Household Survey (OHS) 1998 with the time use data obtained from the SA-Time Use Survey (SATUS) 2000, and the South African Living Conditions Survey (SALCS) 2014/2015 with the SATUS 2010. In all cases, the alignment of the two datasets is examined, after which various aspects of the match quality are described. Despite the differences in the survey years, the quality of match for South Africa is high and the synthetic dataset appropriate for the time poverty analysis. For Ethiopia, due to data quality differences, we restrict the analysis to married couple households with an employed spouse and young children. Conditioning on the restriction and sample reweighting, the Ethiopian synthetic dataset seems appropriate for the time poverty analysis.

This paper assesses the quality of the statistical matching used in the LIMTIP estimates for Italy for 2008 and 2014. The match combines the 2008–9 and 2013–14 Italian Time Use Survey (IT-TUS) with the Italian data collected for the European Survey on Income and Living Conditions (IT-SILC) in 2009 and 2015. After the matching, the analysis of the joint distributions of the variables shows that the quality is good.
 
The preliminary results of the LIMTIP estimates in Italy display widespread time poverty, which translates into significant hidden poverty. The LIMTIP also reveals that the increase in the poverty rate between 2008 and 2014 was even higher that what standard poverty measures report.

Some Lessons from Ghana and Tanzania

In this policy note, Thomas Masterson and Ajit Zacharias address the nexus between wage employment, consumption poverty, and time deficits in the context of Ghana and Tanzania. Based on a recently completed research project supported by the Hewlett Foundation, the authors apply the Levy Institute Measure of Time and Consumption Poverty (LIMTCP) to estimate whether the jobs that are likely to be available to potential employment-seeking, working-age individuals in consumption-poor households—who are predominantly female in both countries—can serve as vehicles of “economic empowerment.” They investigate this question using two indicators of empowerment, asking (1) whether the individual would be able to move their household to at least a minimal level of consumption via the additional earnings from their new job and (2) whether the individual would be deprived of the time required to meet the minimal needs of care for themselves (personal care), their homes, and their dependents.

This document presents a description of the quality of match of the statistical matches used in the LIMTCP estimates prepared for Ghana and Tanzania. For Ghana, the statistical match combines the Living Standards Survey Round 6 (GLSS6) with the Ghana Time Use Survey (GTUS) 2009, and for Tanzania it combines the Household Budget Survey (THBS) 2012 with the time-use data obtained from the Integrated Labor Survey Module (ILFS) 2006. In both cases, the alignment of the two datasets is examined, after which various aspects of the match quality are described. Despite the differences in the survey years, the quality of match is high and the synthetic dataset appropriate for the time poverty analysis.

New methodology for producing employment microsimulations is introduced, with a focus on farms and household nonfarm enterprises. Previous simulations have not dealt with the issue of reduced production in farm and nonfarm household enterprises when household members are placed in paid employment. In this paper, we present a method for addressing the tradeoff between paid employment and the farm and nonfarm business activities individuals may already be engaged in. The implementation of the simulations for Ghana and Tanzania is described and the quality of the simulation results is assessed.

Why Time Deficits Matter

We describe the production of estimates of the Levy Institute Measure of Time and Income Poverty (LIMTIP) for Buenos Aires, Argentina, and use it to analyze the incidence of time and income poverty. We find high numbers of hidden poor—those who are not poor according to the official measure but are found to be poor when using our time-adjusted poverty line. Large time deficits for those living just above the official poverty line are the reason for this hidden poverty. Time deficits are unevenly distributed by employment status, family type, and especially gender. Simulations of the impact of full-time employment on those households with nonworking (for pay) adults indicate that reductions in income poverty can be achieved, but at the cost of increased time poverty. Policy interventions that address the lack of both income and time are discussed.

This paper evaluates the presence of heterogeneity, by household type, in the elasticity of substitution between food expenditures and time and in the goods intensity parameter in the household food and eating production functions. We use a synthetic dataset constructed by statistically matching the American Time Use Survey and the Consumer Expenditure Survey. We establish the presence of heterogeneity in the elasticity of substitution and in the intensity parameter. We find that the elasticity of substitution is low for all household types.

Does Poverty Matter?

Poverty status is an important factor influencing household production and the unpaid work time associated with it due to the role of household production as a coping strategy in mitigating the impact of economic downturns. In this paper, we examine the presence of poverty-based asymmetries in the unpaid work time changes of men and women during the Great Recession. Using the 2003–12 American Time Use Survey, we find that these changes indeed varied by poverty status. In particular, nonpoor women drove the reduction in unpaid work time among women. Among men, the lack of the change in unpaid work time masked the increase in poor men’s time and the decrease in nonpoor men’s time. Oaxaca-Blinder decompositions of the changes in the unpaid work time reveal that shifts in own and spousal employment status largely account for the gender-based differences in these changes, while shifts in the household structure partially explain the poverty-based differences. Nevertheless, sizable portions of the changes in time use remain unexplained by the shifting individual and household characteristics. The latter finding supports the hypothesis of poverty-based variation in the unpaid work time adjustments in that poor and nonpoor individuals appeared to have responded to the recession in different ways.

Gauging the severity of poverty in a given country requires a reasonably comprehensive measurement of whether individuals and households are surpassing some basic threshold of material well-being. This would seem to be an obvious point, and yet, in most cases, our official poverty metrics fail that test, often due to a crucial omission. In this policy brief, Senior Scholar Ajit Zacharias, Research Scholar Thomas Masterson, and Research Associate Emel Memiş  present an alternative measure of poverty for Turkey and lay out the policy lessons that follow. Their research reveals that the number of people living in poverty and the severity of their deprivation have been significantly underestimated. This report is part of an ongoing Levy Institute project on time poverty (the Levy Institute Measure of Time and Income Poverty), which has produced research on Latin America, Korea, and now Turkey, with the aim of extending this approach to other countries.

The Levy Institute Measure of Time and Consumption Poverty for Turkey

Official poverty lines in Turkey and other countries often ignore the fact that unpaid household production activities that contribute to the fulfillment of material needs and wants are essential for the household to reproduce itself as a unit. This omission has consequences. Taking household production for granted when measuring poverty yields an unacceptably incomplete picture, and therefore estimates based on such an omission provide inadequate guidance to policymakers.

Standard measurements of poverty assume that all households and individuals have enough time to adequately attend to the needs of household members—including, for example, children. These tasks are absolutely necessary for attaining a minimum standard of living. But this assumption is false. For numerous reasons, some households may not have sufficient time, and they thus experience what are referred to as “time deficits.” If a household officially classified as nonpoor has a time deficit and cannot afford to cover it by buying market substitutes (e.g., hire a care provider), that household will encounter hardships not reflected in the official poverty measure. To get a more accurate calculus of poverty, we have developed the Levy Institute Measure of Time and Consumption Poverty (LIMTCP), a two-dimensional measure that takes into account both the necessary consumption expenditures and household production time needed to achieve a minimum living standard.

The quality of match of the statistical match used in the LIMTIP estimates for South Korea in 2009 is described. The match combines the 2009 Korean Time Use Survey (KTUS 2009) with the 2009 Korean Welfare Panel Study (KWPS 2009). The alignment of the two datasets is examined, after which various aspects of the match quality are described. The match is of high quality, given the nature of the source datasets. The method used to simulate employment response to availability of jobs in the situation in which child-care subsidies are available is described. Comparisons of the donor and recipient groups for each of three stages of hot-deck statistical matching are presented. The resulting distribution of jobs, earnings, usual hours of paid employment, household production hours, and use of child-care services are compared to the distribution in the donor pools. The results do not appear to be anomalous, which is the best that can be said of the results of such a procedure.

Implications for the Measurement of Poverty

Customarily, income poverty incidence is judged by the ability of individuals and households to gain access to some level of minimum income based on the premise that such access ensures the fulfillment of basic material needs. However, this approach neglects to take into account the necessary (unpaid) household production requirements without which basic needs cannot be fulfilled. In fact, the two are interdependent and evaluation of standards of living ought to consider both dimensions.

This report provides an analytical and empirical framework that includes unpaid household production work in the very conceptualization and calculations of poverty: the Levy Institute Measure of Time and Income Poverty (LIMTIP). Based on this new analytical framework, empirical estimates of poverty are presented and compared with those calculated according to the official income poverty lines for Argentina, Chile, and Mexico. In addition, an employment-generating poverty-reduction policy is simulated in each country, and the results are assessed using the official and LIMTIP poverty lines.

The undertaking of this work was initiated as a result of joint discussions and collaboration between the Levy Economics Institute and United Nations Development Programme Regional Service Centre for Latin America and the Caribbean, particularly the Gender Practice, Poverty, and Millennium Development Goals areas. It addresses an identified need to expand the knowledge base, conceptually, analytically, and empirically, on the links between (official) income poverty and the time allocation of households between paid and unpaid work.

Supporting documents:
Executive Summary
Appendices
Excel Tables for Chapters 2, 3, 4, and 5

The method for simulation of labor market participation used in the LIMTIP models for Argentina, Chile, and Mexico is described. In each case, all eligible adults not working full-time were assigned full-time jobs. In all households that included job recipients, the time spent on household production was imputed for everyone included in the time-use survey. The feasibility of assessing the quality of the simulations is discussed. For each simulation, the recipient group is compared to the donor group, both in terms of demographic similarity and in terms of the imputed usual hours, earnings, and household production produced in the simulation. In each case, the simulations are of reasonable quality, given the nature of the challenges in assessing their quality.

The quality of match of three statistical matches used in the LIMTIP estimates for Argentina, Chile, and Mexico is described. The first match combines the 2005 Uso del Tiempo (UT 2005) with the 2006 Encuesto Annual de Hogares (EAH) for Argentina. The second match combines the 2007 Encuesta Experimental sobre Uso del Tiempo en el Gran Santiago (EUT 2007) with the 2006 Encuesta Caracteristización Socioeconómica Nacional (CASEN 2006) for Chile. The third match combines the 2008 Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH 2008) with the 2009 Encuesta Nacional sobre Uso del Tiempo (ENUT 2009) for Mexico. In each case, the alignment of the two datasets is examined, after which various aspects of the match quality are described. In each case, the matches are of high quality, given the nature of the source datasets.

Official poverty thresholds are based on the implicit assumption that the household with poverty-level income possesses sufficient time for household production to enable it to reproduce itself as a unit. Several authors have questioned the validity of the assumption and explored alternative methods to account for time deficits in the measurement of poverty. I critically review the alternative approaches within a unified framework to highlight the commonalities and relative merits of individual approaches. I also propose a two-dimensional, time-income poverty measure that accounts for intrahousehold disparities in the division of household labor and briefly discuss its uses in thinking about antipoverty policies.

This report presents estimates of the Levy Institute Measure of Economic Well-Being (LIMEW) for a representative sample of Canadian households in 1999 and 2005. The results indicate that there was only modest growth in the average Canadian household’s total command over economic resources in the six years between 1999 and 2005. Although inequality in economic well-being increased slightly over the 1999–2005 period, the LIMEW was more equally distributed across Canadian households than more common income measures (such as after-tax income) in both 1999 and 2005. The median household’s economic well-being was lower in Canada than in the United States in both years.

The quality of match for each of four statistical matches used in the LIMEW estimates for France for 1989 and 2000 is described. The first match combines the 1992 Enquête sur les Actifs Financiers with the 1989–90 Enquête Budget de Famille (BDF). The second match combines the 1998 General Social Survey (EDT) with the 1989–90 BDF. The third match combines the 2003–04 Enquête Patrimoine with the 2000–01 BDF. The fourth match combines the 1999 EDT with the 2000 BDF. In each case, the alignment of the two datasets is examined, after which various aspects of the match quality are described. In each case, the matches are of high quality, given the nature of the source datasets.

The quality of match of four statistical matches used in the LIMEW estimates for Great Britain for 1995 and 2005 is described. The first match combines the fifth (1995) wave of the British Household Panel Survey (BHPS) with the 1995–96 Family Resources Survey (FRS). The second match combines the 1995 time-use module of the Office of Population Censuses and Surveys Omnibus Survey with the 1995–96 FRS. The third match combines the 15th wave (2005) of the BHPS with the 2005 FRS. The fourth match combines the 2000 United Kingdom Time Use Survey with the 2005 FRS. In each case, the alignment of the two datasets is examined, after which various aspects of the match quality are described. In each case, the matches are of high quality, given the nature of the source datasets.

We need to go beyond the accepted notions relating to the role of women in the economy and society, especially in terms of what is recognized in mainstream theory and policy as “work” done by women. Thus, the traditional gender roles, with the man as the breadwinner and the woman in the role of housekeeper, do not explain the contribution of women in general. We also need to go beyond standard models to interpret the intrahousehold gender inequities. We do not gain much insight from dwelling on the cooperative-conflict type of bargaining concepts either, which are offered in the literature to unfold the process of women’s subordination within households. The issues relate to the intrahousehold power structure, which has an inbuilt bias against female members under patriarchy.

In terms of a policy agenda, especially in the context of social and economic disparities that affect women in particular, we need to recognize not only the collective social norms but also the unequal power relations that influence the sexual division of labor, both within the family and in the workplace. A notion of “gendered moral rationality,” complemented by the Rawlsian concept of “justice as fairness” (implying compensation for the underprivileged), can be used to devise policy that addresses the status of women both in the workplace and at home. We need a concerted move toward sensitization of gender issues and scrutiny entailing a gender audit at every level of activity. This may work at least partially until society is ready to remodel itself by treating men and women equally.

The quality of match of four statistical matches used in the LIMEW estimates for the United States for 1992 and 2007 is described. The first match combines the 1992 Survey of Consumer Finances (SCF) with the 1993 March Supplement to the Current Population Survey, or Annual Demographic Supplement (ADS). The second match combines the 1985 American Use of Time Project survey (AUTP) with the 1993 ADS. The third match combines the 2007 SCF with the 2008 March Supplement to the CPS, now called the Annual Social and Economics Supplement (ASEC). The fourth match combines the 2007 American Time Use Survey with the 2008 ASEC. In each case, the alignment of the two datasets is examined, after which various aspects of the match quality are described. Also in each case, the matches are of high quality, given the nature of the source datasets.

The quality of match of four statistical matches used in the LIMEW estimates for Canada for 1999 and 2005 is described. The first match combines the 1999 Survey of Financial Security (SFS) with the 1999 Survey of Labour and Income Dynamics (SLID). The second match combines the 1998 General Social Survey (GSS) with the 1999 SLID. The third match combines the 2005 SFS with the 2005 SLID. The fourth match combines the 2005 GSS with the 2005 SLID. In each case, the alignment of the two datasets is examined, after which various aspects of the match quality are described. Also in each case, the matches are of high quality, given the nature of the source datasets.