Nonparametric Estimation and Hypothesis Testing in Econometric Models

نویسنده

  • A. Ullah
چکیده

In this paper we systematically review and develop nonparametric estimation and testing techniques in the context of econometric models. The results are discussed under the settings of regression model and kernel estimation, although as indicated in the paper these results can go through for other econometric models and for the nearest neighbor estimation. A nontechnical survey of the asymptotic properties of kernel regression estimation is also presented. The technique described in the paper are useful for the empirical analysis of the economic relations whose true functional forms are usually unknown. 1 I n t r o d u c t i o n Consider an economic model

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تاریخ انتشار 2005