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Local Identification of Nonparametric and Semiparametric Models

Author(s)
Chen, Xiaohong; Chernozhukov, Victor V.; Lee, Sokbae; Newey, Whitney K.
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Abstract
In parametric, nonlinear structural models, a classical sufficient condition for local identification, like Fisher (1966) and Rothenberg (1971), is that the vector of moment conditions is differentiable at the true parameter with full rank derivative matrix. We derive an analogous result for the nonparametric, nonlinear structural models, establishing conditions under which an infinite dimensional analog of the full rank condition is sufficient for local identification. Importantly, we show that additional conditions are often needed in nonlinear, nonparametric models to avoid nonlinearities overwhelming linear effects. We give restrictions on a neighborhood of the true value that are sufficient for local identification. We apply these results to obtain new, primitive identification conditions in several important models, including nonseparable quantile instrumental variable (IV) models and semiparametric consumption-based asset pricing models.
Date issued
2014-03
URI
http://hdl.handle.net/1721.1/96142
Department
Massachusetts Institute of Technology. Department of Economics
Journal
Econometrica
Publisher
John Wiley & Sons, Inc/Econometric Society
Citation
Chen, Xiaohong, Victor Chernozhukov, Sokbae Lee, and Whitney K. Newey. “Local Identification of Nonparametric and Semiparametric Models.” Econometrica 82, no. 2 (March 2014): 785–809.
Version: Original manuscript
ISSN
0012-9682
1468-0262

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