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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2987 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2987 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2987 archive 351 disk0/00/00/29/48 2016-01-15 01:57:44 2021-08-27 17:12:55 2016-01-15 01:57:44 monograph show 2 Wolf D.A. AL1385 pub iis_sys iis_pop iis_met iis_mod prog_pop A random-effects panel logit model is proposed, in which the unmeasured attributes of an individual are represented by a discrete-valued random variable, the distribution of which is binomial with a known number of support points. The maximum-likelihood estimator of the unknown parameters of the model are derived, and the performance of the ML estimators is investigated in a series of Monte-Carlo experiments. Several further extensions of the framework are also suggested, including application to discrete event-history data. 1987-10 published WP-87-104 WP-87-104 10 2524 public working_paper IIASA, Laxenburg, Austria 14 FALSE info:eu-repo/semantics/book