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Wage Decompositions using Panel Data Sample Selection Correction

Title
Wage Decompositions using Panel Data Sample Selection Correction
Author
최충
Keywords
Decomposition; Panel Data; SOEP; Sample Selection; BLINDER-OAXACA DECOMPOSITION; IDENTIFICATION; DISCRIMINATION; MODELS
Issue Date
2016-12
Publisher
한국경제학회
Citation
KOREAN ECONOMIC REVIEW, v. 32, No. 2, Page. 201-218
Abstract
This paper analyzes wage decomposition methodology in the context of panel data sample selection embedded in a correlated random effects setting. Identification issues unique to panel data are examined for their implications for wage decompositions. As an empirical example, we apply our methodology to the German Socio-Economic Panel (SOEP) data with which we investigate gender wage differentials in the German Labor Market. Our results highlight the sensitivity of inferences about potential discrimination to how elements of the panel data selection model are assigned to explained and unexplained components.
URI
http://kiss.kstudy.com/thesis/thesis-view.asp?key=3488675http://repository.hanyang.ac.kr/handle/20.500.11754/103007
ISSN
0254-3737
Appears in Collections:
COLLEGE OF BUSINESS AND ECONOMICS[E](경상대학) > ECONOMICS(경제학부) > Articles
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