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Estimation of Nonlinear Panel Models with Multiple Unobserved Effects

Mingli Chen

No 269326, Economic Research Papers from University of Warwick - Department of Economics

Abstract: I propose a xed eects expectation-maximization (EM) estimator that can be applied to a class of nonlinear panel data models with unobserved heterogeneity, which is modeled as individual eects and/or time eects. Of particular interest is the case of interactive eects, i.e. when the unobserved heterogeneity is modeled as a factor analytical structure. The estimator is obtained through a computationally simple, iterative two-step procedure, where the two steps have closed form solutions. I show that estimator is consistent in large panels and derive the asymptotic distribution for the case of the probit with interactive eects. I develop analytical bias corrections to deal with the incidental parameter problem. Monte Carlo experiments demonstrate that the proposed estimator has good nite-sample properties.

Keywords: Financial; Economics (search for similar items in EconPapers)
Date: 2016-03-03
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Working Paper: Estimation of Nonlinear Panel Models with Multiple Unobserved Effects (2016) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:ags:uwarer:269326

DOI: 10.22004/ag.econ.269326

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