Lilia Domínguez Villalobos, Flor Brown Grossman, Isalia Nava Bolaños
{"title":"墨西哥职业移民在美国:性别不平等分析","authors":"Lilia Domínguez Villalobos, Flor Brown Grossman, Isalia Nava Bolaños","doi":"10.21670/ref.1914035","DOIUrl":null,"url":null,"abstract":"This work comparatively analyses the determinants of integration into the American labor market by qualification level of the occupation of Mexican professional migrants. To meet the objective, we estimate two multinomial econometric models that examine the odds of not being filled or used in positions of different level of qualification. Based on these results, scenarios are built. In the first that combines academic degree with the presence of children, the high probability for the female population of being outside the workforce was blunt, with the exception of having a doctorate. The second scenario, which relates to immigration conditions, schooling and English proficiency, illustrates vulnerability as immigrants, when optimal conditions are not present, but in this case women have greater likely to be left out of the workforce.","PeriodicalId":43706,"journal":{"name":"Estudios Fronterizos","volume":"20 1","pages":"8"},"PeriodicalIF":1.0000,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Migrantes profesionistas mexicanos en Estados Unidos: Análisis de las desigualdades de género\",\"authors\":\"Lilia Domínguez Villalobos, Flor Brown Grossman, Isalia Nava Bolaños\",\"doi\":\"10.21670/ref.1914035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work comparatively analyses the determinants of integration into the American labor market by qualification level of the occupation of Mexican professional migrants. To meet the objective, we estimate two multinomial econometric models that examine the odds of not being filled or used in positions of different level of qualification. Based on these results, scenarios are built. In the first that combines academic degree with the presence of children, the high probability for the female population of being outside the workforce was blunt, with the exception of having a doctorate. The second scenario, which relates to immigration conditions, schooling and English proficiency, illustrates vulnerability as immigrants, when optimal conditions are not present, but in this case women have greater likely to be left out of the workforce.\",\"PeriodicalId\":43706,\"journal\":{\"name\":\"Estudios Fronterizos\",\"volume\":\"20 1\",\"pages\":\"8\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2019-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Estudios Fronterizos\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21670/ref.1914035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Estudios Fronterizos","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21670/ref.1914035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY","Score":null,"Total":0}
Migrantes profesionistas mexicanos en Estados Unidos: Análisis de las desigualdades de género
This work comparatively analyses the determinants of integration into the American labor market by qualification level of the occupation of Mexican professional migrants. To meet the objective, we estimate two multinomial econometric models that examine the odds of not being filled or used in positions of different level of qualification. Based on these results, scenarios are built. In the first that combines academic degree with the presence of children, the high probability for the female population of being outside the workforce was blunt, with the exception of having a doctorate. The second scenario, which relates to immigration conditions, schooling and English proficiency, illustrates vulnerability as immigrants, when optimal conditions are not present, but in this case women have greater likely to be left out of the workforce.