In addition to the conventional determinants of labor market participation and the choice between wage employment and self-employment, there is a growing interest of the significance of gender role attitudes and personality traits. This study uses data from the 2022 Ghana Informal Sector Measurement Study to investigate the influence of these factors on employment outcomes in the Northern and Ashanti regions of Ghana. The findings are based on a series of analyses, including descriptive, multinomial logistic, and linear probability model regressions. The empirical results show the critical role played by both gender role attitudes and personality traits in shaping individuals’ decisions on labor market participation and employment choices. Notably, personality traits emerge as significant drivers of observed employment outcomes. However, the impact of these personality traits is often mitigated or even reversed in the presence of heightened traditionalism. Furthermore, the gender-disaggregated analysis reveals that possessing at least a secondary education level is a pivotal factor in the selection of men into formal employment, whereas this criterion holds less significance for women. Conversely, once the decision to participate in the labor market has been made, having at least a secondary education becomes relevant for securing wage employment, regardless of an individual’s gender.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
The code was run in two computers with the following specifications:
(a) Computer 1:
• OS: Windows 10 Enterprise, version 21H2
• Processor: Intel(R) Xeon(R) CPU E7-4890 v2 @ 2.80GHz 2.80 GHz
• Memory available: 5.9 GB
• Software version: Stata 17
(b) Computer 2:
• OS: Windows 10 Enterprise, version 21H2
• Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.9GHz
• Memory available: 128 GB
• Software version: Stata 18.0 MP
Runtime: 5 minutes
A fully documented dataset for the data used for this paper is yet to be made public. Once all clearances have been obtained, the public data files will be available in the World Bank Microdata library. Data is preliminary included in this reproducibility package for replication purposes.
Author | Affiliation | |
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Akuffo Amankwah | World Bank | aamankwah@worldbank.org |
Pauline Castaing | World Bank | pcastaing@worldbank.org |
Nkechi S. Owoo | Department of Economics, University of Ghana | nkechi.owoo@gmail.com |
Amparo Palacios-Lopez | World Bank | apalacioslopez@worldbank.org |
2024-01
Location | Code |
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Ghana | GHA |
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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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Akuffo Amankwah | World Bank | aamankwah@worldbank.org |
Reproducibility WB | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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San Martin | LESM | World Bank | Junior data scientist |
2024-02-13
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