Measuring Skills in Developing Countries

Name: Measuring Skills in Developing Countries
Published: 2020-10-12
License: https://creativecommons.org/licenses/by/4.0

Principal Investigator(s): View help for Principal Investigator(s) Rachid Laajaj, Universidad de los Andes; Karen Macours, Paris School of Economics

Version: View help for Version V1

Version Title: View help for Version Title Journal of Human Resource Replication

Name	File Type	Size	Last Modified
Replication File Measuring Skills.zip	application/zip	75 MB	10/12/2020 02:21:PM

Project Citation:

Laajaj, Rachid, and Macours, Karen. Measuring Skills in Developing Countries. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-10-12. https://doi.org/10.3886/E124141V1

Project Description

Summary: Measures of cognitive, noncognitive, and technical skills are increasingly used to analyze the determinants of skill formation or the role of skills in economic decisions in developing and developed countries. Yet in most cases, these measures have only been validated in high-income countries. This paper tests the reliability and validity of some of the most commonly used skills measures in a rural developing context. A survey experiment with a series of skills measurements was administered to more than 900 farmers in western Kenya, and the same questions were asked again after three weeks to test the reliability of the measures. To test predictive power, the study also collected information on agricultural practices and production during the four following seasons. The results show the cognitive skills measures are reliable and internally consistent, while technical skills are difficult to capture and very noisy. The evidence further suggests that measurement error in noncognitive skills is non-classical, as correlations between questions are driven in part by the answering patterns of the respondents and the phrasing of the questions. Addressing both random and systematic measurement error using common psychometric practices and repeated measures leads to improvements and clearer predictions, but does not address all concerns. We replicate the main parts of the analysis for farmers in Colombia, and obtain similar results. The paper provides a cautionary tale for naïve interpretations of skill measures. It also points to the importance of addressing measurement challenges to establish the relationship of different skills with economic outcomes. Based on these findings, the paper derives guidelines for skill measurement and interpretation in similar contexts.

Funding Sources: World Bank and Standing Panel for Impact Assessment (SIAC 1); DFID-ESRC Growth Research Program (JES-1362222); French National Research Agency (ANR) (ANR-17-EURE-0001); INRA

Scope of Project

Subject Terms: Economics; skills; developing country; agriculture

Geographic Coverage: Kenya, Siaya

Time Period(s): 1/1/2012 – 12/31/2015 (Year 2012 to 2015)

Collection Date(s): 1/1/2012 – 12/31/2015 (Year 2012 to 2015)

Universe: Households in rural areas in Siaya, Western Kenya. Mix of randomly selected representativ households and households selected by the community to participate in the agronomic trials.
Households in Sucre, Colombia

Data Type(s): survey data

Related Publications

This study is un-published. See below for other available versions.

Published Versions

V2 [2021-02-01]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.