Estimation of a regression spline sample selection model
نویسندگان
چکیده
منابع مشابه
Estimation of a regression spline sample selection model
It is often the case that an outcome of interest is observed for a restricted non-randomly selected sample of the population. In such a situation, standard statistical analysis yields biased results. This issue can be addressed using sample selection models which are based on the estimation of two regressions: a binary selection equation determining whether a particular statistical unitwill be ...
متن کاملFrom Finite Sample to Asymptotics: a Geometric Bridge for Selection Criteria in Spline Regression
This paper studies, under the setting of spline regression, the connection between finite-sample properties of selection criteria and their asymptotic counterparts, focusing on bridging the gap between the two. We introduce a bias-variance decomposition of the prediction error, using which it is shown that in the asymptotics the bias term dominates the variability term, providing an explanation...
متن کاملSemiparametric Estimation of a Heteroskedastic Sample Selection Model Author(s):
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive o...
متن کاملOn Derivative Estimation in Spline Regression
We consider the problem of estimating the derivatives of a regression function by the corresponding derivatives of regression splines. Unlike kernel smoothers, these spline derivative estimators do not have boundary problems. In addition, they have simple expressions and are easy to compute. In this paper, we study the local asymptotic properties of these derivative estimators. Under regularity...
متن کاملEstimation of Variance Components for Body Weight of Moghani Sheep Using B-Spline Random Regression Models
The aim of the present study was the estimation of (co) variance components and genetic parameters for body weight of Moghani sheep, using random regression models based on B-Splines functions. The data set included 9165 body weight records from 60 to 360 days of age from 2811 Moghani sheep, collected between 1994 to 2013 from Jafar-Abad Animal Research and Breeding Institute, Ardabil province,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2013
ISSN: 0167-9473
DOI: 10.1016/j.csda.2012.12.010