NONPARAMETRIC INSTRUMENTAL REGRESSION

• 成果类型: Article
• 署名作者: Darolles, S.; Fan, Y.; Florens, J. P.; Renault, E.
• 署名单位: Universite PSL; Universite Paris-Dauphine; Vanderbilt University; Universite de Toulouse; Universite Toulouse 1 Capitole; Toulouse School of Economics; Brown University; Tilburg University
• 刊物名称: ECONOMETRICA
• ISSN/ISSBN: 0012-9682
• DOI: 10.3982/ECTA6539
• 发表日期: 2011
• 页码: 1541-1565
• 关键词: POSED INVERSE PROBLEMS; identification; models

摘要

The focus of this paper is the nonparametric estimation of an instrumental regression function phi defined by conditional moment restrictions that stem from a structural econometric model E[Y - phi(Z) vertical bar W] = 0, and involve endogenous variables Y and Z and instruments W. The function phi is the solution of an ill-posed inverse problem and we propose an estimation procedure based on Tikhonov regularization. The paper analyzes identification and overidentification of this model, and presents asymptotic properties of the estimated nonparametric instrumental regression function.