An Introduction to Nonparametric Regression for Labor Economists

Daniel Henderson () and Anne-Charlotte Souto ()
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Anne-Charlotte Souto: University of Alabama

Journal of Labor Research, 2018, vol. 39, issue 4, No 1, 355-382

Abstract: Abstract In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in labor economics 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.

Keywords: Endogeneity; Kernel; Labor; Nonparametric; Regression; Spline (search for similar items in EconPapers)
JEL-codes: C14 C26 I24 J24 J31 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s12122-018-9279-6

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