Non-response in panel data: The impact on estimates of a life cycle consumption function
AbstractIf missing observations in a panel data set are not missing at random, many widely applied estimators may be inconsistent. In this paper the authors examine empirically several ways to reveal the nature and severity of the selectivity problem due to nonresponse, as well as a number of methods to estimate the resulting models. Using a life cycle consumption function and data from the Expenditure Index Panel from the Netherlands, they discuss simple procedures that can be used to assess whether observations are missing at random, and they consider more complicated estimation procedures that can be used to obtain consistent or efficient estimates in case of selectivity of attrition bias. Finally, some attention is paid to the differences in identification, consistency, and efficiency between inferences from a single wave of the panel, a balanced sub-panel, and an unbalanced panel. Copyright 1992 by John Wiley & Sons, Ltd.
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Bibliographic InfoPaper provided by Tilburg University in its series Open Access publications from Tilburg University with number urn:nbn:nl:ui:12-153282.
Date of creation: 1992
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Publication status: Published in Journal of Applied Econometrics (1992) v.7, p.243-257
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Web page: http://www.tilburguniversity.edu/
Other versions of this item:
- Nijman, Theo & Verbeek, Marno, 1992. "Nonresponse in Panel Data: The Impact on Estimates of a Life Cycle Consumption Function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(3), pages 243-57, July-Sept.
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