کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7358095 1478570 2018 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Extremal quantile regressions for selection models and the black-white wage gap
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
پیش نمایش صفحه اول مقاله
Extremal quantile regressions for selection models and the black-white wage gap
چکیده انگلیسی
We consider the estimation of a semiparametric sample selection model without instrument or large support regressor. Identification relies on the independence between the covariates and selection, for arbitrarily large values of the outcome. We propose a simple estimator based on extremal quantile regression and establish its asymptotic normality by extending previous results on extremal quantile regressions to allow for selection. Finally, we apply our method to estimate the black-white wage gap among males from the NLSY79 and NLSY97. We find that premarket factors such as AFQT and family background play a key role in explaining the black-white wage gap.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Econometrics - Volume 203, Issue 1, March 2018, Pages 129-142
نویسندگان
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