Macroeconomic crises and poverty monitoring
Assessment of the welfare impacts of low-frequency events, such as macroeconomic crises and stabilizations, are often confounded by sampling and nonsampling errors that generate fluctuations in household survey-based welfare indicators; they are also limited by our ability to explain fluctuations in terms of other available data. Basing policy on short-term movements in welfare indicators can thus be hazardous. There was a sharp increase in India's poverty measures in the aftermath of the mid-1991 crisis and the ensuing stabilization reforms. However, only one-tenth of the increase in measured poverty is explicable in terms of the variables one would expect to transmit the shock. Poverty measures soon returned to their pre-reform levels, belying the notion of a reforms-induced structural break.
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- Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
- Datt, Gaurav & Ravallion, Martin, 1998.
"Why Have Some Indian States Done Better Than Others at Reducing Rural Poverty?,"
London School of Economics and Political Science, vol. 65(257), pages 17-38, February.
- Datt, Gaurav & Ravallion, Martin, 1996. "Why have some Indian states done better than others at reducing rural poverty?," Policy Research Working Paper Series 1594, The World Bank.
- Lipton, Michael & Ravallion, Martin, 1993.
"Poverty and policy,"
Policy Research Working Paper Series
1130, The World Bank.
- Ravallion, Martin & Datt, Gaurav, 1996. "How Important to India's Poor Is the Sectoral Composition of Economic Growth?," World Bank Economic Review, World Bank Group, vol. 10(1), pages 1-25, January.
- Martin Ravallion & Gaurav Datt, 1995. "Is Targeting Through a Work Requirement Efficient? Some Evidence for Rural India," Monash Economics Working Papers archive-41, Monash University, Department of Economics.
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