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Combining Panel Data Sets with Attrition and Refreshment Samples

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  • Keisuke Hirano
  • Guido W. Imbens
  • Geert Ridder
  • Donald B. Rubin

Abstract

With panel data important issues can be resolved that can not beaddressed with cross--sectional data. A major drawback is that paneldata suffer from more severe missing data problems. Adding a sampleconsisting of new units randomly drawn from the original populationas replacements for units who have dropped out of the panel, aso--called refreshment sample, can be helpful in mitigating theeffects of attrition, both by allowing for estimation of richermodels and by making estimation of conventional models moreprecise. In this paper we develop a family of models thatincorporate refreshment samples, and we demonstrate in an applicationto a Dutch data set on travel behaviour that such models can lead tosubstantially different results than models that assume that themissing data process is ignorable or conventional econometric modelsfor panel data with attrition.

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Bibliographic Info

Article provided by Econometric Society in its journal Econometrica.

Volume (Year): 69 (2001)
Issue (Month): 6 (November)
Pages: 1645-1659

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Handle: RePEc:ecm:emetrp:v:69:y:2001:i:6:p:1645-1659

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References

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  1. Robert MOFFIT & John FITZGERALD & Peter GOTTSCHALK, 1999. "Sample Attrition in Panel Data: The Role of Selection on Observables," Annales d'Economie et de Statistique, ENSAE, issue 55-56, pages 129-152.
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  7. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of income Dynamics," Economics Working Paper Archive 379, The Johns Hopkins University,Department of Economics.
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  9. Hausman, Jerry A & Wise, David A, 1979. "Attrition Bias in Experimental and Panel Data: The Gary Income Maintenance Experiment," Econometrica, Econometric Society, vol. 47(2), pages 455-73, March.
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  13. John M. Abowd & Bruno Crepon & Francis Kramarz & Alain Trognon, 1995. "A La Recherche des Moments Perdus: Covariance Models for Unbalanced Panels with Endogenous Death," NBER Technical Working Papers 0180, National Bureau of Economic Research, Inc.
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  20. Brownstone, David & Valletta, Robert G, 1996. "Modeling Earnings Measurement Error: A Multiple Imputation Approach," University of California Transportation Center, Working Papers qt3gb0k9b5, University of California Transportation Center.
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