Research Topics

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.

The Macroeconomic Implications of HIV and AIDS on Women's Time-tax Burdens

This paper considers public employment guarantee programs in the context of South Africa as a means to address the nexus of poverty, unemployment, and unpaid work burdens—all factors exacerbated by HIV/AIDS. It further discusses the need for genderinformed public job creation in areas that mitigate the “time-tax” burdens of women, and examines a South African initiative to address social sector service delivery deficits within the government’s Expanded Public Works Programme. The authors highlight the need for well-designed employment guarantee programs—specifically, programs centered on community and home-based care—as a potential way to help offset the destabilizing effects of HIV/AIDS and endemic poverty. The paper concludes with results from macroeconomic simulations of such a program, using a social accounting matrix framework, and sets out implications for both participants and policymakers.

This study proposes a simple modification to a Social Accounting Matrix (SAM) in order to analyze the multiplier effects of a new sector. A different input composition, or technology, of the sector makes a conventional analysis of final-demand injections on existing sectors invalid. Author Kijong Kim shows that the modification—so-called hypothetical integration—is an efficient way to incorporate the difference into the SAM, rather than costly full-scale rebalancing. He applies this method to the case of the Expanded Public Works Programme in South Africa, and demonstrates that the proposed approach effectively represents the labor intensity requirement of the program and a new-factor income distribution.

South Africa and India

Documents relating to the South Africa and India case studies are available below.

SOUTH AFRICA	INDIA
Policy Brief Full Report Appendix A. SAM–SA Technical Report Appendix B. Statistical Analysis Appendix C. Job Identification Tables Appendix D. SAM Reformulation	Policy Brief Full Report Appendix A. SAM-Nana Kotda Village Appendix B. A Note on the Village Sam Appendix C. A Summary Table on Unpaid Work and Its Implications for Public Works Programmes
Annotated Bibliography