Arbeitspapier
Decomposition of the gender wage gap using the LASSO estimator
We use the LASSO estimator to select among a large number of explanatory variables in wage regressions for a decomposition of the gender wage gap. The LASSO selection with a one standard error rule removes about a quarter of the regressors. We use the LASSO-selected regressors for OLSbased gender wage decompositions. This approach results in a smaller error variance than in OLS without LASSO-selection. The explained gender wage gap is 1%-point greater than in the conventional OLS model.
- Sprache
-
Englisch
- Erschienen in
-
Series: Working Paper ; No. 2003
- Klassifikation
-
Wirtschaft
Wage Level and Structure; Wage Differentials
Labor Discrimination
- Thema
-
gender wage gap
LASSO
decomposition
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Böheim, René
Stöllinger, Philipp
- Ereignis
-
Veröffentlichung
- (wer)
-
Johannes Kepler University of Linz, Department of Economics
- (wo)
-
Linz
- (wann)
-
2020
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Böheim, René
- Stöllinger, Philipp
- Johannes Kepler University of Linz, Department of Economics
Entstanden
- 2020
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