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函数系数工具变量模型的局部线性 GMM 估计及教育回报应用AI 解读

We consider the local linear generalized method of moment (GMM) estimation of functional coefficient models with a mix of discrete and continuous data and in the presence of endogenous regressors. We establish the asymptotic normality of the estimator and derive the optimal instrumental variable that minimizes the asymptotic variance-covariance matrix among the class of all local linear GMM estimators. Data-dependent bandwidth sequences are also allowed for. We propose a…

非参数联立方程模型的局部多项式估计AI 解读

We define a new procedure for consistent estimation of nonparametric simultaneous equations models under the conditional mean independence restriction of Newey et al. [1999. Nonparametric estimation of triangular simultaneous equation models. Econometrica 67, 565-603]. It is based upon local polynomial regression and marginal integration techniques. We establish the asymptotic distribution of our estimator under weak data dependence conditions. Simulation evidence suggests…

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不确定性下的矩估计与生产决策AI 解读

The purpose of this paper is to examine production decisions under output price uncertainty. Using a nonparametric estimation technique to estimate the first four moments of the unknown price distribution and applying duality, we provide a simple empirical framework for the analysis of supply and demand decisions under price uncertainty. The model is used to examine the importance of higher moments in the firm's production decisions and to investigate underlying attitudes…