@techreport{NBERt0214,
 title = "Moment Estimation with Attrition",
 author = "John M. Abowd and Bruno Crepon and Francis Kramarz",
 institution = "National Bureau of Economic Research",
 type = "Working Paper",
 series = "Technical Working Paper Series",
 number = "214",
 year = "1997",
 month = "August",
 URL = "http://www.nber.org/papers/t0214",
 abstract = {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.},
}