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Human Capital and Economic Growth$
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Andreas Savvides and Thanasis Stengos

Print publication date: 2008

Print ISBN-13: 9780804755405

Published to Stanford Scholarship Online: June 2013

DOI: 10.11126/stanford/9780804755405.001.0001

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A Primer on Nonparametric Methods and Their Application to Research in Human Capital and Economic Growth

A Primer on Nonparametric Methods and Their Application to Research in Human Capital and Economic Growth

Chapter:
(p.172) 8 A Primer on Nonparametric Methods and Their Application to Research in Human Capital and Economic Growth
Source:
Human Capital and Economic Growth
Publisher:
Stanford University Press
DOI:10.11126/stanford/9780804755405.003.0008

This chapter outlines basic nonparametric techniques, looking at their specific applications in testing the human capital–growth relationship. The second section provides an overview of nonparametric econometric methods. The third section discusses a commonly used semiparametric model, the semiparametric partially linear (PLR) model. The fourth section describes the modeling of economic growth using the PLR model. It notes that a semiparametric PLR specification of the cross-country growth regression function is a particularly useful way of studying the contribution of human capital to economic growth from a nonlinear perspective.

Keywords:   human capital–growth relationship, nonparametric techniques, PLR model, economic growth

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