Arbeitspapier
An Introduction to Nonparametric Regression for Labor Economists
In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in labor economic applications. We focus our attention on issues commonly found in the labor literature such as how to account for endogeneity via instrumental variables in a nonparametric setting. We showcase these methods via data from the Current Population Survey.
- Sprache
-
Englisch
- Erschienen in
-
Series: IZA Discussion Papers ; No. 11914
- Klassifikation
-
Wirtschaft
Semiparametric and Nonparametric Methods: General
Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
Education and Inequality
Human Capital; Skills; Occupational Choice; Labor Productivity
Wage Level and Structure; Wage Differentials
- Thema
-
endogeneity
kernel
labor
nonparametic
regression
spline
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Henderson, Daniel J.
Souto, Anne-Charlotte
- Ereignis
-
Veröffentlichung
- (wer)
-
Institute of Labor Economics (IZA)
- (wo)
-
Bonn
- (wann)
-
2018
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Henderson, Daniel J.
- Souto, Anne-Charlotte
- Institute of Labor Economics (IZA)
Entstanden
- 2018
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