LOCAL IDENTIFICATION OF NONPARAMETRIC AND SEMIPARAMETRIC MODELS

• 成果类型: Article
• 署名作者: Chen, Xiaohong; Chernozhukov, Victor; Lee, Sokbae; Newey, Whitney K.
• 署名单位: Yale University; Massachusetts Institute of Technology (MIT); Seoul National University (SNU)
• 刊物名称: ECONOMETRICA
• ISSN/ISSBN: 0012-9682
• DOI: 10.3982/ECTA9988
• 发表日期: 2014
• 页码: 785-809
• 关键词: instrumental variables estimation; conditional moment restrictions; asymptotic efficiency; regression; RISK

摘要

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.