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Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity

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Wooldridge, Jeffrey M.·2005·Journal of Applied Econometrics

Abstract

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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Metadata

Authors
Wooldridge, J. M.
Venue
Journal of Applied Econometrics
Publisher
Wiley
Published
2005-01
Volume
20
Issue
1
Pages
39-54
ISSN
  • 0883-7252 (ISSN-L)
  • 1099-1255
OpenAlex
W1964450723
Cited by
1,799
References
4
FWCI
121.98
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity. https://app.cochat.ai/papers/10.1002/jae.770
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Wooldridge, J. M. (2005). Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity. Journal of Applied Econometrics. https://doi.org/10.1002/jae.770

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.