Identification and Estimation of Marginal Effects in Nonlinear Panel Models

Victor Chernozhukov, Ivan Fernandez-Val (ivanf@bu.edu), Jinyong Hahn and Whitney Newey

No wp2009-b, Boston University - Department of Economics - Working Papers Series from Boston University - Department of Economics

Abstract: 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.

Pages: 64
Date: 2009-02
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (23)

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Related works:
Working Paper: Identification and estimation of marginal effects in nonlinear panel models (2009)
Working Paper: Identification and estimation of marginal effects in nonlinear panel models (2008)
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