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Using Quality of Interview Information to Assess Nonrandom Attrition Bias in Developing-Country Panel Data

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  • John A. Maluccio

Abstract

Panel data often provide an understanding of household behavior not possible with cross-sectional information alone. However, a disturbing feature of such data is that there can be substantial, nonrandom attrition and many analysts share the concern that this inhibits the ability to make accurate inferences. The author examines attrition in the KwaZulu-Natal Income Dynamics Study 1993-1998, assesses the extent of attrition bias for a specific empirical example, and proposes and implements a selection correction methodology using quality of first round interview variables as identifying instruments. The results show that attrition does lead to statistical bias in the "behavioral" coefficients in estimation of household-level expenditure functions. Since it is typically difficult to determine the bias for a particular analysis a priori, and such bias is by its nature model-specific, it behooves researchers using panel data to evaluate the effects of attrition in their analyses. Copyright Blackwell Publishing Ltd 2004.

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Bibliographic Info

Article provided by Wiley Blackwell in its journal Review of Development Economics.

Volume (Year): 8 (2004)
Issue (Month): 1 (02)
Pages: 91-109

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Handle: RePEc:bla:rdevec:v:8:y:2004:i:1:p:91-109

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Cited by:
  1. Haddad, Lawrence James & Maluccio, John A., 2002. "Trust, membership in groups, and household welfare," FCND briefs 135, International Food Policy Research Institute (IFPRI).
  2. Akresh, Richard & Edmonds, Eric V., 2010. "The Analytical Returns to Measuring a Detailed Household Roster," IZA Discussion Papers 4759, Institute for the Study of Labor (IZA).
  3. Alderman, Harold & Watkins, Susan Cotts & Kohler, Hans-Peter & Maluccio, John A. & Behrman, Jere R., 2000. "Attrition in longitudinal household survey data," FCND briefs 96, International Food Policy Research Institute (IFPRI).
  4. Ueyama, Mika, 2007. "Mortality, mobility, and schooling outcomes among orphans: Evidence from Malawi," IFPRI discussion papers 710, International Food Policy Research Institute (IFPRI).
  5. Carter, Michael R. & Maluccio, John A., 2002. "Social capital and coping with economic shocks," FCND briefs 142, International Food Policy Research Institute (IFPRI).
  6. Farshid Vahid & Pushkar Maitra, 2005. "The Effect of Household Characteristics on Living Standards in South Africa 1993 - 98: A Quantile Regression Analysis with Sample Attrition," ANU Working Papers in Economics and Econometrics 2005-452, Australian National University, College of Business and Economics, School of Economics.
  7. Nobuhiko Fuwa, 2010. "Should We Track Migrant Households When Collecting Household Panel Data? Household Relocation, Economic Mobility, and Attrition Biases in the Rural Philippines," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 56-82.

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