Victor Chernozhukov () (Institute for Fiscal Studies and Massachusetts Institute of Technology) Ivan Fernandez-Val Jinyong Hahn Whitney Newey () (Institute for Fiscal Studies and Massachusetts Institute of Technology)
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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 give an empirical illustration.
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Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number
CWP25/08.
Length: Date of creation: Sep 2008 Date of revision: Handle: RePEc:ifs:cemmap:25/08
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