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| Format: | Artículo científico |
| Published: |
International Labour Organization
01/12/1999
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| Online Access: | https://researchrepository.ilo.org/esploro/outputs/journalArticle/Decomposing-two-values-of-a-binary/995325480102676 |
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| _version_ | 1874525036606390272 |
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| author | Catherine Saget |
| author_facet | Catherine Saget Catherine Saget |
| contents | Decomposing two values of a binary variable: Application to the unemployment differential in Hungary Catherine Saget The individual determinants of unemployment in Hungary are studied. An attempt is made to understand the reasons why Hungarian women were, in 1992, less likely to be unemployed than their male counterparts. The probability of being in the stock of unemployment and one particular inflow into unemployment are estimated. Adapting standard discrimination analysis to the case of binary variables, the differential in average unemployment rates by gender is decomposed. It is shown that differences in individual endowments account for very little of the gender gap in the stock of unemployment. 10.1080/000368499323139 DOI https://doi.org/10.1080/000368499323139 publication.journalArticle |
| format | Artículo científico |
| id | ilo_995325480102676 |
| institution | Organización Internacional del Trabajo (OIT) |
| publishDate | 01/12/1999 |
| publisher | International Labour Organization |
| spellingShingle | Decomposing two values of a binary variable: Application to the unemployment differential in Hungary Catherine Saget Decomposing two values of a binary variable: Application to the unemployment differential in Hungary Catherine Saget The individual determinants of unemployment in Hungary are studied. An attempt is made to understand the reasons why Hungarian women were, in 1992, less likely to be unemployed than their male counterparts. The probability of being in the stock of unemployment and one particular inflow into unemployment are estimated. Adapting standard discrimination analysis to the case of binary variables, the differential in average unemployment rates by gender is decomposed. It is shown that differences in individual endowments account for very little of the gender gap in the stock of unemployment. 10.1080/000368499323139 DOI https://doi.org/10.1080/000368499323139 publication.journalArticle |
| title | Decomposing two values of a binary variable: Application to the unemployment differential in Hungary |
| url | https://researchrepository.ilo.org/esploro/outputs/journalArticle/Decomposing-two-values-of-a-binary/995325480102676 |