Gender pay gaps among agricultural and non-agricultural wage workers: A cross-country examination
While gender pay gaps in higher-income countries have been extensively studied, less information is available about the status of the gender pay gap in lower-middle-income countries (LMICs). This study provides new empirical estimates of the gender pay gap in agricultural and non-agricultural wage e...
| Autores principales: | , , , , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
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Food and Agriculture Organization of the United Nations
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/169875 |
| _version_ | 1855521092065558528 |
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| author | Benali, Marwan Slavchevska, Vanya Piedrahita, Natalia Davis, Benjamin Sitko, Nicholas Nico, Gianluigi Azzarri, Carlo |
| author_browse | Azzarri, Carlo Benali, Marwan Davis, Benjamin Nico, Gianluigi Piedrahita, Natalia Sitko, Nicholas Slavchevska, Vanya |
| author_facet | Benali, Marwan Slavchevska, Vanya Piedrahita, Natalia Davis, Benjamin Sitko, Nicholas Nico, Gianluigi Azzarri, Carlo |
| author_sort | Benali, Marwan |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | While gender pay gaps in higher-income countries have been extensively studied, less information is available about the status of the gender pay gap in lower-middle-income countries (LMICs). This study provides new empirical estimates of the gender pay gap in agricultural and non-agricultural wage employment across a sample of ten LMICs covering multiple regions. The Kitagawa–Oaxaca–Blinder decomposition approach is used to unpack the factors that explain the pay gap across the sample of countries. The analysis shows large and significant gender gaps in pay in both agricultural and non-agricultural wage employment. Across the sample, the gender wage gap in favour of men is on average 18.4 percent in agricultural wage employment and 15.1 percent in the non-agricultural sector (unweighted means). The unexplained part of the gap, which is associated with discrimination and other unobservable factors such as skills, preferences or social norms, is the largest contributor to the wage gap in both sectors. However, differences in education, sector of employment and access to full-time employment also contribute to the gap. This background paper was prepared to inform Chapter 2 of FAO’s report on The status of women in agrifood systems: https://www.fao.org/documents/card/en/c/CC5060EN . |
| format | Informe técnico |
| id | CGSpace169875 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Food and Agriculture Organization of the United Nations |
| publisherStr | Food and Agriculture Organization of the United Nations |
| record_format | dspace |
| spelling | CGSpace1698752025-04-25T19:45:25Z Gender pay gaps among agricultural and non-agricultural wage workers: A cross-country examination Benali, Marwan Slavchevska, Vanya Piedrahita, Natalia Davis, Benjamin Sitko, Nicholas Nico, Gianluigi Azzarri, Carlo gender gap workers gender inequality role of women employment remuneration less favoured areas statistical data While gender pay gaps in higher-income countries have been extensively studied, less information is available about the status of the gender pay gap in lower-middle-income countries (LMICs). This study provides new empirical estimates of the gender pay gap in agricultural and non-agricultural wage employment across a sample of ten LMICs covering multiple regions. The Kitagawa–Oaxaca–Blinder decomposition approach is used to unpack the factors that explain the pay gap across the sample of countries. The analysis shows large and significant gender gaps in pay in both agricultural and non-agricultural wage employment. Across the sample, the gender wage gap in favour of men is on average 18.4 percent in agricultural wage employment and 15.1 percent in the non-agricultural sector (unweighted means). The unexplained part of the gap, which is associated with discrimination and other unobservable factors such as skills, preferences or social norms, is the largest contributor to the wage gap in both sectors. However, differences in education, sector of employment and access to full-time employment also contribute to the gap. This background paper was prepared to inform Chapter 2 of FAO’s report on The status of women in agrifood systems: https://www.fao.org/documents/card/en/c/CC5060EN . 2024-02-08 2025-01-24T20:04:15Z 2025-01-24T20:04:15Z Report https://hdl.handle.net/10568/169875 en https://doi.org/10.4060/cc5060en Open Access Food and Agriculture Organization of the United Nations Benali, Marwan; Slavchevska, Vanya; Piedrahita, Natalia; Davis, Benjamin; Sitko, Nicholas; Nico, Gianluigi; and Azzarri, Carlo. 2024. Gender pay gaps among agricultural and non-agricultural wage workers: A cross-country examination. Rome, FAO. https://doi.org/10.4060/cc9143en |
| spellingShingle | gender gap workers gender inequality role of women employment remuneration less favoured areas statistical data Benali, Marwan Slavchevska, Vanya Piedrahita, Natalia Davis, Benjamin Sitko, Nicholas Nico, Gianluigi Azzarri, Carlo Gender pay gaps among agricultural and non-agricultural wage workers: A cross-country examination |
| title | Gender pay gaps among agricultural and non-agricultural wage workers: A cross-country examination |
| title_full | Gender pay gaps among agricultural and non-agricultural wage workers: A cross-country examination |
| title_fullStr | Gender pay gaps among agricultural and non-agricultural wage workers: A cross-country examination |
| title_full_unstemmed | Gender pay gaps among agricultural and non-agricultural wage workers: A cross-country examination |
| title_short | Gender pay gaps among agricultural and non-agricultural wage workers: A cross-country examination |
| title_sort | gender pay gaps among agricultural and non agricultural wage workers a cross country examination |
| topic | gender gap workers gender inequality role of women employment remuneration less favoured areas statistical data |
| url | https://hdl.handle.net/10568/169875 |
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