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Non-Response in Dynamic Panel Data Models

  • Cheti Nicoletti

    ()

    (ISER, University of Essex,)

This paper stresses the links that exist between concepts that are used in the theory of model reduction and concepts that arise in the missing data literature. This connection motivates the extension of the missing at random (MAR) and the missing completely at random (MCAR) concepts from a static setting, as introduced by Rubin (1976), to the case of dynamic panel data models. Using this extension of the MAR and MCAR definitions, we emphasize the limits of some tests and procedures, proposed by Little (1988), Diggle (1989), Park and Davis (1993), Taris (1996) and others, to verify the ignorability of the missing data mechanism.

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Paper provided by International Conferences on Panel Data in its series 10th International Conference on Panel Data, Berlin, July 5-6, 2002 with number A5-4.

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Date of creation: Mar 2002
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Handle: RePEc:cpd:pd2002:a5-4
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  13. Jensen, Peter & Rosholm, Michael & Verner, Mette, 2002. "A Comparison of Different Estimators for Panel Data Sample Selection Models," Working Papers 02-1, University of Aarhus, Aarhus School of Business, Department of Economics.
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  17. Joachim Inkmann, 2001. "Accounting for Nonresponse Heterogeneity in Panel Data," CoFE Discussion Paper 01-03, Center of Finance and Econometrics, University of Konstanz.
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