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- W2371492972 abstract "From last decade, nonparametric statistical methods have be en widely used in econometrics, since they offer versatility and flexibility in estimation and forecasting-one needs not to specify functional forms. Consider a nonparametric regression model y i=m(x i)+e i,i=1,2,…,n, assume m ( ·) unknown and to be estimated. Assume that i.j.d. errors e i come from an unknown density function f(e) . This paper will give some extension asymptot ic properties of a nonparametric estimator n(e) of f(e) . Appl ication will go to the estimation of the distribution of individuals' income. We will try to give some further explanation." @default.
- W2371492972 created "2016-06-24" @default.
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- W2371492972 date "2001-01-01" @default.
- W2371492972 modified "2023-09-23" @default.
- W2371492972 title "To Explain the Distribution of Income by Nonparametric Method" @default.
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