Inference in panel data models under attrition caused by unobservables
AbstractThis paper concerns identification and estimation of a finite-dimensional parameter in a panel data-model under nonignorable sample attrition. Attrition can depend on second period variables which are unobserved for the attritors but an independent refreshment sample from the marginal distribution of the second period values is available. This paper shows that under a quasi-separability assumption, the model implies a set of conditional moment restrictions where the moments contain the attrition function as an unknown parameter. This formulation leads to (i) a simple proof of identification under strictly weaker conditions than those in the existing literature and, more importantly, (ii) a sieve-based root-n consistent estimate of the finite-dimensional parameter of interest. These methods are applicable to both linear and nonlinear panel data models with endogenous attrition and analogous methods are applicable to situations of endogenously missing data in a single cross-section. The theory is illustrated with a simulation exercise, using Current Population Survey data where a panel structure is introduced by the rotation group feature of the sampling process.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 144 (2008)
Issue (Month): 2 (June)
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- Nicoletti, Cheti, 2006.
"Nonresponse in dynamic panel data models,"
Journal of Econometrics,
Elsevier, vol. 132(2), pages 461-489, June.
- Cheti Nicoletti, 2002. "Non-Response in Dynamic Panel Data Models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-4, International Conferences on Panel Data.
- Das, M., 2004. "Simple estimators for nonparametric panel data models with sample attrition," Journal of Econometrics, Elsevier, vol. 120(1), pages 159-180, May.
- Nevo, Aviv, 2002. "Sample selection and information-theoretic alternatives to GMM," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 149-157, March.
- 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.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rebin, 1998.
"Combining Panel Data Sets with Attrition and Refreshment Samples,"
NBER Technical Working Papers
0230, National Bureau of Economic Research, Inc.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 1998. "Combining Panel Data Sets with Attrition and Refreshment Samples," Tinbergen Institute Discussion Papers 98-033/4, Tinbergen Institute.
- Pakes, Ariel & Pollard, David, 1989. "Simulation and the Asymptotics of Optimization Estimators," Econometrica, Econometric Society, vol. 57(5), pages 1027-57, September.
- Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition and stratification," CeMMAP working papers CWP11/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chunrong Ai & Xiaohong Chen, 2003. "Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions," Econometrica, Econometric Society, vol. 71(6), pages 1795-1843, November.
- Nevo, Aviv, 2003.
"Using Weights to Adjust for Sample Selection When Auxiliary Information Is Available,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 21(1), pages 43-52, January.
- Aviv Nevo, 2001. "Using Weights to Adjust for Sample Selection When Auxiliary Information is Available," NBER Technical Working Papers 0275, National Bureau of Economic Research, Inc.
- Ridder, Geert, 1992. "An empirical evaluation of some models for non-random attrition in panel data," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 337-355, December.
- Marcel Das & Vera Toepoel & Arthur van Soest, 2011.
"Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys,"
Sociological Methods & Research,
, vol. 40(1), pages 32-56, February.
- Das, J.W.M. & Soest, A.H.O. van & Toepoel, V., 2011. "Nonparametric tests of panel conditioning and attrition bias in panel surveys," Open Access publications from Tilburg University urn:nbn:nl:ui:12-4334816, Tilburg University.
- Laurent Davezies & Xavier d'Haultfoeuille, 2013. "Endogenous Attrition in Panels," Working Papers 2013-17, Centre de Recherche en Economie et Statistique.
- Insan Tunali & Emre Ekinci & Berk Yavuzoglu, 2012. "Rescaled Additively Non-ignorable (RAN) Model of Attrition and Substitution," KoÃ§ University-TUSIAD Economic Research Forum Working Papers 1220, Koc University-TUSIAD Economic Research Forum.
- Seik Kim, . "Sample Attrition in the Presence of Population Attrition," Working Papers UWEC-2009-02, University of Washington, Department of Economics.
- Xavier D'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013.
"Nonlinear Difference-in-Differences in Repeated Cross Sections with Continuous Treatments,"
Boston College Working Papers in Economics
839, Boston College Department of Economics.
- Xavier D'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear difference-in-differences in repeated cross sections with continuous treatments," CeMMAP working papers CWP40/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Seik Kim & Nalina Varanasi, . "Labor Supply of Married Women in Credit-Constrained Households: Theory and Evidence," Working Papers UWEC-2010-01, University of Washington, Department of Economics.
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