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Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity Author info | Abstract | Publisher info | Download info | Related research | Statistics Jeffrey M. Wooldridge (Department of Economics, Michigan State University, USA)
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I study a simple, widely applicable approach to handling the initial conditions problem in dynamic, nonlinear unobserved effects models. Rather than attempting to obtain the joint distribution of all outcomes of the endogenous variables, I propose finding the distribution conditional on the initial value (and the observed history of strictly exogenous explanatory variables). The approach is flexible, and results in simple estimation strategies for at least three leading dynamic, nonlinear models: probit, Tobit and Poisson regression. I treat the general problem of estimating average partial effects, and show that simple estimators exist for important special cases. Copyright © 2005 John Wiley & Sons, Ltd.
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Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics .
Volume (Year): 20 (2005)
Issue (Month): 1 ()
Pages: 39-54
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Handle: RePEc:jae:japmet:v:20:y:2005:i:1:p:39-54Contact details of provider: Web page: http://www.interscience.wiley.com/jpages/0883-7252/
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Arellano, Manuel & Bond, Stephen, 1991.
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