Wage decompositions using panel data sample selection correction

Ronald L Oaxaca, Chung Choe

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)201-218
Number of pages18
JournalKorean Economic Review
Volume32
Issue number2
StatePublished - Dec 1 2016

Fingerprint

Sample selection
Wage decomposition
Panel data
Labour market
Decomposition methodology
Methodology
Random effects
Gender wage differentials
Inference
Discrimination
Socio-economics
Selection model

Keywords

  • Decomposition
  • Panel data
  • Sample selection
  • SOEP

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)

Cite this

Wage decompositions using panel data sample selection correction. / Oaxaca, Ronald L; Choe, Chung.

In: Korean Economic Review, Vol. 32, No. 2, 01.12.2016, p. 201-218.

Research output: Contribution to journalArticle

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