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.
- Language
-
Englisch
- Bibliographic citation
-
Series: IZA Discussion Papers ; No. 11914
- Classification
-
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
- Subject
-
endogeneity
kernel
labor
nonparametic
regression
spline
- Event
-
Geistige Schöpfung
- (who)
-
Henderson, Daniel J.
Souto, Anne-Charlotte
- Event
-
Veröffentlichung
- (who)
-
Institute of Labor Economics (IZA)
- (where)
-
Bonn
- (when)
-
2018
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Henderson, Daniel J.
- Souto, Anne-Charlotte
- Institute of Labor Economics (IZA)
Time of origin
- 2018
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