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Identification and Estimation of Marginal Effects in Nonlinear Panel Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Victor Chernozhukov (MIT)
Ivan Fernandez-Val
Jinyong Hahn (UCLA)
Whitney Newey (MIT)
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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.
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Paper provided by Boston University - Department of Economics in its series Boston University - Department of Economics - Working Papers Series with number
wp2009-b.
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Date of creation: Feb 2009Date of revision:
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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.: Bo E. Honoré & Elie Tamer, 2006.
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Bryan S. Graham & James Powell, 2008.
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Manuel Arellano & Stéphane Bonhomme, 2009.
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CWP22/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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