Governments around the developing world face pressure to intervene actively to help jobseekers find employment. Two of the most common policies used are job training, based on the idea that many of those seeking jobs lack the skills employers want, and job search assistance, based on the possibility that even if workers have the skills demanded, search and matching frictions make it difficult for workers to be hired in the jobs that need these skills. However, reviews of the first generation of evaluations of these programs found typical impacts to be small, casting doubt on the usefulness and cost-effectiveness of these programs. This paper re-examines the arguments for whether, when, and how, developing country governments should undertake job training and job search assistance policies. We use our experience with policy implementation, and evidence from recent impact evaluations, to argue that there is still a role for governments in using these programs. However, success depends critically on program design and delivery elements that can be difficult to scale effectively, and in many cases the binding constraint may be a lack of firms with job openings, rather than a lack of workers with the skills to fill these openings.
Paper exhibits were attempted to be reproduced in a computer with
the following specifications:
• OS: Windows 10 Enterprise, version 21H2
• Processor: Intel(R) Core(TM) i7-8665U CPU @ 1.90GHz 2.11 GHz
• Memory available: 15.8 GB
• Software version: Stata 16.1
A README file with detailed instructions is part of the reproducibility package.
"Almost all the data used by the authors is publicly accessible, excluding the Albania and Romania household labor force survey data for which the authors used an extract provided by ILO (included in the package Data/Raw/DataExtractProvidedbyILO.pdf).
The raw data files are not included in this reproducibility package (Data/raw folders are empty); to access the raw data files, please follow the links specified in the README file contained in this package. To replicate the exact datasets used for the analysis, utilize the JobSearchMethod.do Stata do file provided by the authors. This file contains the code to extract the required variables from the raw files and subsequently compiles them into a single data file named Table1jobmethods.dta, which forms the foundation for Table 1 in the paper.
For more details, including information about the Albania and Romania household labor force survey data, please refer to the README file.
Author | Affiliation | |
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Eliana Carranza | World Bank | ecarranza@worldbank.org |
David McKenzie | World Bank | dmckenzie@worldbank.org |
2023-09
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World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
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Creative Commons Attribution 4.0 International (CC BY 4.0) License | https://creativecommons.org/licenses/by/4.0/ |
Name | Affiliation | |
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David McKenzie | World Bank | dmckenzie@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reyes Retana | MRR | World Bank | Junior Data Scientist |
2023-09-18
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