Research Topics

Evidence from sub-Saharan Africa

Gender disparity in the division of responsibilities for unpaid care and domestic work (household production) is a central and pervasive component of inequalities between men and women and boys and girls. Reducing disparity in household production figures as one element of the goal of gender equality enshrined in the United Nations’ Sustainable Development Goals (SDGs) and feminist scholars and political activists have articulated that the redistribution of household production responsibilities from females to males is important for its own sake, as well as for achieving gender equality in labor market outcomes. A cursory examination of available cross-country data indicates that higher per capita GDP—the neoliberal panacea for most societal malaise—provides little bulwark against the gender inequality in household production.
 
Ajit Zacharias, Thomas Masterson, Fernando Rios-Avila, and Abena D. Oduro contribute to the literature on the intrahousehold distribution of household production by placing the question within a framework of analyzing deprivation, applying that framework to better understand the interactions between poverty and the gendered division of labor in four sub-Saharan African nations: Ethiopia, Ghana, South Africa, and Tanzania. Central to their framework is the notion that attaining a minimal standard of living requires command over an adequate basket of commodities and sufficient time to be spent on home production, where meeting those requirements produces benefits for all—including those beyond the household.
 
Their findings motivate questions regarding the feasibility and effectiveness of redistribution of household responsibilities to alleviate time deficits and their impoverishing effects. By developing a framework to assess the mechanics of redistribution among family members and applying it to gender-based redistribution, they derive the maximum extent to which redistribution—either among all family members, between sexes, or between husbands and wives—can lower the incidence of time deficits. The conclude with a discussion of alternative principles of distributing household production responsibilities among family members and examine their impact on the Levy Institute Measure of Time and Income Poverty (LIMTCP) and discuss some policy questions in light of their findings.

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.

A Macro-Micro Policy Model for Ghana and Tanzania
 

Feminist economics has long emphasized the role of physical and social infrastructure as determinants of the time women spend on household production (the provision of unpaid domestic services and care). Surprisingly, there is a lack of studies that directly investigate how infrastructure improvements affect the time spent on household production and commuting to work, which is another important unpaid activity for most employed individuals. We attempt to fill the lacunae in the research by studying this issue in the context of Ghana and Tanzania utilizing the framework of the Levy Institute Measure of Time and Income Poverty. Separately, while there are several studies (including those done previously at the Levy Institute) on the macroeconomic impacts of government expenditures on care, these assessments tend to be based primarily on employment multipliers along with simple macroeconomic assumptions. We develop a disaggregated and fully articulated macroeconomic model based on the social accounting matrices for the two countries to take account of the intersectoral linkages and external constraints, such as balance of payments, that are particularly important for many developing nations, including Ghana and Tanzania. The macro- and microeconomic aspects are integrated in a unified analytical framework via a top-down disaggregated macroeconomic model with microsimulation that is novel in that it enables the investigation of the gendered economic processes and outcomes at the macroeconomic and microeconomic levels.

The Levy Institute Measure of Time and Consumption Poverty

Time constraints that stem from the overlapping domains of paid and unpaid work are of central concern to the debates surrounding the economic development of developing countries in general and countries of sub-Saharan Africa in particular. Time deficits due to household production are especially acute in these countries due to the poor state of social and physical infrastructure, which constrains the time allocation people can choose.

Standard measures of poverty fail to capture hardships caused by time deficits. This report applies a methodological approach that incorporates time deficits into the measurement of poverty, known as the Levy Institute Measure of Time and Consumption Poverty (LIMTCP), to the cases of Ghana and Tanzania. The LIMTCP explicitly recognizes the role of time constraints and, as such, has the potential to meaningfully inform the design of policies aimed at poverty reduction and improvement of individual and household well-being. The analysis of simulation exercises assessing the impact of paid employment provision on official and LIMTCP poverty rates has strong implications for policies aimed at poverty reduction, emphasizing the need to account for alleviating not only income but also time constraints. It also has strong gender relevance, as time poverty is more relevant for women due to their disproportionate burden of household responsibilities. Our study argues that policies aimed at improving women’s labor market outcomes can also succeed at improving their well-being only if time constraints are addressed.

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.

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 Levy Institute Measure of Time and Consumption Poverty (LIMTCP) is a two-dimensional measure that takes into account both the necessary consumption expenditures and the household production time needed to achieve a minimum standard of living—factors often ignored in official poverty measures. In the case of Turkey, application of the LIMTCP reveals an additional 7.6 million people living in poverty, resulting in a poverty rate that is a full 10 percentage points higher than the official rate of 30 percent.