Semiparametric identification and heterogeneity in discrete choice dynamic programming models

Empirical discrete choice dynamic programming models have become important empirical tools. A question that arises in estimation and interpretation of the results from these specifications is which combination of data and assumptions are needed to overcome problems of heterogeneity, selection, and o...

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Veröffentlicht in:	Journal of econometrics 2000-06, Vol.96 (2), p.201-229
1. Verfasser:	Taber, Christopher R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Decision models Discrete choice Dynamic programming Econometrics Economic choice Economic models Exact sciences and technology Identification Mathematical programming Operational research and scientific management Operational research. Management science Schooling Stochastic models Studies
Online-Zugang:	Volltext
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