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Inferences for a Partially Varying Coefficient Model With Endogenous Regressors
Authors:Zongwu Cai  Ying Fang  Ming Lin  Jia Su
Affiliation:1. Department of Economics, University of Kansas, Lawrence, KS 66045;2. Wang Yanan Institute for Studies in Economics, Ministry of Education Key Laboratory of Econometrics and Fujian Key Laboratory of Statistical Science, Xiamen University, Xiamen, Fujian 361005, China (caiz@ku.edu);3. Wang Yanan Institute for Studies in Economics, Department of Statistics, School of Economics, Ministry of Education Key Laboratory of Econometrics and Fujian Key Laboratory of Statistical Science, Xiamen University, Xiamen, Fujian 361005, China (yifst1@xmu.edu.cn;4. linming50@xmu.edu.cn;5. jia43zhu@163.com)
Abstract:In this article, we propose a new class of semiparametric instrumental variable models with partially varying coefficients, in which the structural function has a partially linear form and the impact of endogenous structural variables can vary over different levels of some exogenous variables. We propose a three-step estimation procedure to estimate both functional and constant coefficients. The consistency and asymptotic normality of these proposed estimators are established. Moreover, a generalized F-test is developed to test whether the functional coefficients are of particular parametric forms with some underlying economic intuitions, and furthermore, the limiting distribution of the proposed generalized F-test statistic under the null hypothesis is established. Finally, we illustrate the finite sample performance of our approach with simulations and two real data examples in economics.
Keywords:Endogeneity  Functional coefficients  Generalized F-test  Instrumental variables models  Nonparametric test  Profile least squares
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