Identification and estimation of marginal effects in nonlinear panel models

By Victor Chernozhukov, Iv'an Fern'andez-Val, Jinyong Hahn, Whitney K. Newey. 2008

51 citations recorded by the source corpus.

This paper gives identification and estimation results for marginal effects in nonlinear panel models. We find that linear fixed effects estimators are not consistent, due in part to marginal effects not being identified. We derive bounds for marginal effects and show that they can tighten rapidly as the number of time series observations grows. We also show in numerical calculations that the bounds may be very tight for small numbers of observations, suggesting they may be useful in practice. We propose two novel inference methods for parameters defined as solutions to linear and nonlinear programs such as marginal effects in multinomial choice models. We show that these methods produce uniformly valid confidence regions in large samples. We give an empirical illustration.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/b53f95f0bf680d168047d5db514bf863c756ec21

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In Economics and Econometrics

Citations in the corpus

Identifying distributional characteristics in random coefficients panel data models (2009, background): “Chernozhukov et al. (2009) obtain similar results in some nonlinear panel data models.”