By Paul Glewwe
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Additional resources for Who is most vulnerable to macroeconomic shocks?: hypotheses tests using panel data from Peru
98 Glewwe and Jacoby, Delayed Primary School Enrollment and Childhood Malnutrition in Ghana: An Economic Analysis No. 99 Baker and Grosh, Poverty Reduction through Geographic Targeting: How Well Does It Work? No. 100 Datt and Ravallion, Income Gainsfor the Poor from Public Works Employment: Evidencefrom Two Indian Villages No. 101 Kostermans, Assessing the Quality of Anthropometric Data: Background and Illustrated Guidelines for Survey Managers No. 102 van de Walle, Ravallion, and Gautam, How Well Does the Social Safety Net Work?
Page 17 based on two cross-sectional data sets is (X'X)-1, which equals ('X)-1 (assuming u and h are uncorrelated, a standard assumption). 13 Intuitively, the efficiency gain from having panel data is obtained from the information contained in matching households across the two surveys - if one has panel data but loses the variable that matches tie households across the two surveys, one will obtain identical, but less efficient, estimates of Db. The Role of Endogenous Variables in Determining Vulnerability If an economy experiences rapid and unexpected changes, life cycle consumption plans must be changed.
Some sources cited in this paper may be informal documents that are not readily available. The findings, interpretations, and conclusions expressed in this paper are entirely those of the author(s) and should not be attributed in any manner to the World Bank, to its affiliated organizations, or to members of its Board of Executive Directors or the countries they represent. The World Bank does not guarantee the accuracy of the data included in this publication and accepts no responsibility whatsoever for any consequence of their use.