Nonparametric Estimation of Models with Generated Regressors
AbstractThis paper considers nonparametric kernel estimation of models with generated regressors and derives the asymptotic distribution of the resulting estimators. It is also shown how generated regressors may be used to reduce the dimensionality of certain nonparametric models. A labor supply equation is estimated to illustrate the technique. Copyright 1996 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
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Bibliographic InfoArticle provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.
Volume (Year): 37 (1996)
Issue (Month): 2 (May)
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"American options with stochastic dividends and volatility: A nonparametric investigation,"
Journal of Econometrics,
Elsevier, vol. 94(1-2), pages 53-92.
- Mark Broadie & Jérôme B. Detemple & Eric Ghysels & Olivier Torrès, 1996. "American Options with Stochastic Dividends and Volatility: A Nonparametric Investigation," CIRANO Working Papers 96s-26, CIRANO.
- Joris Pinkse, 2000. "Feasible Multivariate Nonparametric Estimation Using Weak Separability," Econometric Society World Congress 2000 Contributed Papers 1241, Econometric Society.
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