期刊
JOURNAL OF ECONOMIC PERSPECTIVES
卷 15, 期 4, 页码 11-28出版社
AMER ECONOMIC ASSOC
DOI: 10.1257/jep.15.4.11
关键词
-
类别
We provide a nontechnical review of recent nonparametric methods for estimating density and regression functions. The methods we describe make it possible for a researcher to estimate a regression function or density without having to specify in advance a particular-and hence potentially misspecified functional form. We compare these methods to more popular parametric alternatives (such as OLS), illustrate their use in several applications, and demonstrate their flexibility with actual data and generated-data experiments. We show that these methods are intuitive and easily implemented, and in the appropriate context may provide an attractive alternative to simpler parametric methods.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据