An introduction to nonparametric regression for labor economists

Daniel J. Henderson, Anne-Charlotte Souto

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.

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Year of publication:	October 2018
Authors:	Henderson, Daniel J. ; Souto, Anne-Charlotte
Publisher:	Bonn, Germany : IZA
Subject:	endogeneity \| kernel \| labor \| nonparametic \| regression \| spline \| Regressionsanalyse \| Regression analysis \| Nichtparametrisches Verfahren \| Nonparametric statistics \| Schätztheorie \| Estimation theory

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Extent:	1 Online-Ressource (circa 34 Seiten) Illustrationen
Series:	Discussion paper series / IZA. - Bonn : IZA, ZDB-ID 2120053-1. - Vol. no. 11914
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper
Language:	English
Other identifiers:	hdl:10419/193208 [Handle]
Classification:	C14 - Semiparametric and Nonparametric Methods ; c26 ; i24 ; J24 - Human Capital; Skills; Occupational Choice; Labor Productivity ; J31 - Wage Level and Structure; Wage Differentials by Skill, Training, Occupation, etc
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10011946249