Estimating quarterly poverty rates using labor force surveys : a primer
AbstractThe paper shows how Labor Force Surveys can be used effectively to estimate poverty rates using Household Expenditure Surveys and cross-survey imputation methods. With only two rounds of Household Expenditure Survey data for Morocco (2001 and 2007), the paper estimates quarterly poverty rates for the period 2001-2010 by imputing household expenditures into the Labor Force Surveys. The results are encouraging. The methodology is able to accurately reproduce official poverty statistics by combining current Labor Force Surveys with previous period Household Expenditure Surveys, and vice versa. Although the focus is on head-count poverty, the method can be applied to any welfare indicator that is a function of household income or expenditure, such as the poverty gap or the Gini index of inequality. The newly produced time-series of poverty rates can help researchers and policy makers to: (a) study the determinants of poverty reduction or use poverty as an explanatory factor in cross-section and panel models; (b) forecast poverty rates based on a time-series model fitted to the data; and (c) explore the linkages between labor market conditions and poverty and simulate the effects of policy reforms or economic shocks. This is a promising research agenda that can expand significantly the tool-kit of the welfare economist.
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Bibliographic InfoPaper provided by The World Bank in its series Policy Research Working Paper Series with number 6466.
Date of creation: 01 May 2013
Date of revision:
Rural Poverty Reduction; Regional Economic Development; Achieving Shared Growth; Poverty Monitoring&Analysis;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-06-16 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Luc Christiaensen & Peter Lanjouw & Jill Luoto & David Stifel, 2012.
"Small area estimation-based prediction methods to track poverty: validation and applications,"
Journal of Economic Inequality, Springer,
Springer, vol. 10(2), pages 267-297, June.
- Christiaensen, Luc & Lanjouw, Peter & Luoto, Jill & Stifel, David, 2011. "Small area estimation-based prediction methods to track poverty : validation and applications," Policy Research Working Paper Series 5683, The World Bank.
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