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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/4685

Google™ Scholar. Others By: Carrasco, Raquel - Arellano, Manuel
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binary_carrasco_JE_2003_ps.pdf-- 2012-03-26 -- Available on Internet -- postprint694,91 kBAdobe PDFformato pdf
Title: Binary choice panel data models with predetermined variables
Author(s): Carrasco, Raquel [rcarras]
Arellano, Manuel
Publisher: Elsevier
Issued date: 2003
Citation: Journal of Econometrics, 2003, v. 115, n. 1, pp. 125-157
URI: http://hdl.handle.net/10016/4685
ISSN: 0304-4076
DOI: http://dx.doi.org/10.1016/S0304-4076(03)00095-2
Abstract: (i) The explanatory variables are predetermined but not strictly exogenous. This includes lagged dependent variables as well as other forms of unspeci.ed feedback. (ii) Individual e1ects are allowed to be correlated with the explanatory variables. Dependence is speci.ed through the conditional expectation of the e1ects which is let to be non-parametric. We also present a GMM estimator for these models, which is consistent and asymptotically normal for .xed T and large N. We study its .nite sample properties in an autoregressive model by means of Monte Carlo simulations. Finally, as an empirical illustration, we estimate a female labour force participation equation withpredetermined children using PSID data.
Review: PeerReviewed
Publisher version: http://dx.doi.org/10.1016/S0304-4076(03)00095-2
Keywords: Discrete choice
Panel data
Predetermined variables
Random effects
Labor force participation
JEL Classification: C23
Rights: © Elsevier
Appears in Collections:Economists Online
DE - Artículos de Revistas

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