Research Topics

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.