Abowd, John M.
[Verfasser:in]
;
Crepon, Bruno
[Sonstige Person, Familie und Körperschaft];
Kramarz, Francis
[Sonstige Person, Familie und Körperschaft]National Bureau of Economic Research
Erschienen:
Cambridge, Mass: National Bureau of Economic Research, August 1997
Erschienen in:NBER technical working paper series ; no. t0214
Umfang:
1 Online-Ressource
Sprache:
Englisch
DOI:
10.3386/t0214
Identifikator:
Reproduktionsnotiz:
Hardcopy version available to institutional subscribers
Entstehung:
Anmerkungen:
Mode of access: World Wide Web
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Beschreibung:
We present a method that accommodates missing data in longitudinal datasets of the type usually encountered in economic and social applications. The technique uses various extensions of missing at random' assumptions that we customize for dynamic models. Our method, applicable to longitudinal data on persons or firms, is implemented using the Generalized Method of Moments with reweighting that appropriately corrects for the attrition bias caused by the missing data. We apply the method to the estimation of dynamic labor demand models. The results demonstrate that the correction is extremely important