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Research ArticleArticles
Open Access

Measuring Skills in Developing Countries

Rachid Laajaj and Karen Macours
Journal of Human Resources, October 2021, 56 (4) 1254-1295; DOI: https://doi.org/10.3368/jhr.56.4.1018-9805R1
Rachid Laajaj
Rachid Laajaj is an associate professor at the Universidad de Los Andes ()
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Karen Macours
Karen Macours is a professor at Paris School of Economics and an INRA researcher
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Article Information

vol. 56 no. 4 1254-1295
DOI 
https://doi.org/10.3368/jhr.56.4.1018-9805R1
Published By 
University of Wisconsin Press
Print ISSN 
0022-166X
Online ISSN 
1548-8004
History 
  • Received October 1, 2018
  • Accepted September 1, 2019
  • Published online October 29, 2021.

ARTICLE VERSIONS

  • Ahead of Print Version (Monday, October 14, 2019 - 9:37 AM).
  • Ahead of Print Version (Monday, December 02, 2019 - 10:37 AM).
  • You are viewing the final version of this article.
Copyright & Usage 
© 2021 by the Board of Regents of the University of Wisconsin System This open access article is distributed under the terms of the CC-BY-NC-ND license http://creativecommons.org/licenses/by-nc-nd/4.0) and is freely available online at: http://jhr.uwpress.org.

Author Information

  1. Rachid Laajaj and
  2. Karen Macours
  1. Rachid Laajaj is an associate professor at the Universidad de Los Andes (r.laajaj{at}uniandes.edu.co)
  2. Karen Macours is a professor at Paris School of Economics and an INRA researcher
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In this issue

Journal of Human Resources: 56 (4)
Journal of Human Resources
Vol. 56, Issue 4
2 Oct 2021
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Measuring Skills in Developing Countries
Rachid Laajaj, Karen Macours
Journal of Human Resources Oct 2021, 56 (4) 1254-1295; DOI: 10.3368/jhr.56.4.1018-9805R1

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Measuring Skills in Developing Countries
Rachid Laajaj, Karen Macours
Journal of Human Resources Oct 2021, 56 (4) 1254-1295; DOI: 10.3368/jhr.56.4.1018-9805R1
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  • Article
    • Abstract
    • I. Introduction
    • II. Setting, Sample and the Questionnaire Design
    • III. Reliability and Validity of Different Skills Constructs
    • A. Exploratory Factor Analysis, Acquiescence Bias Corrections, and Item Response Theory
    • B. Reliability and Construct Validity
    • C. Predictive Validity
    • IV. Further Understanding Measurement Challenges
    • V. From Kenya to Colombia and Beyond: Similar Results in Different Contexts
    • VI. Conclusions
    • Footnotes
    • References
  • Figures & Data
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Keywords

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