Pendular mobility and income differentials in formal work in Ceara, Brazil
By: Santos, Ray Sales Gomes Dos and Filho, Luís Abel da Silva
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Material type: 
BookPublisher: The Indian Journal of Labour Economics Description: 67(1), Jan-Mar, 2024: p. 1-28.
In:
The Indian Journal of Labour EconomicsSummary: This article aims to analyse whether there is favourable migration selectivity in formal work in Ceará. In other words, whether the worker's unobservable characteristics influence commuting and labour income differentials. For this purpose, microdata from the annual social information list—RAIS of the Brazilian Ministry of Economy—MEB for 2009 and 2019 were used. Furthermore, the methodology used was a two-stage Heckman model with correction for sample selection bias for both years. The results show that commuting migrants in formal work in Ceará are not positively selected. Furthermore, income differentials among commuting migrants are determined by individuals' socioeconomic and demographic characteristics and the labour market, such as education, race/colour, gender, and occupation sector.- Reproduced
https://link.springer.com/article/10.1007/s41027-024-00482-9
| Item type | Current location | Call number | Vol info | Status | Date due | Barcode |
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Articles
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Indian Institute of Public Administration | 67(1), Jan-Mar, 2024: p.1-28 | Available | AR132842 |
This article aims to analyse whether there is favourable migration selectivity in formal work in Ceará. In other words, whether the worker's unobservable characteristics influence commuting and labour income differentials. For this purpose, microdata from the annual social information list—RAIS of the Brazilian Ministry of Economy—MEB for 2009 and 2019 were used. Furthermore, the methodology used was a two-stage Heckman model with correction for sample selection bias for both years. The results show that commuting migrants in formal work in Ceará are not positively selected. Furthermore, income differentials among commuting migrants are determined by individuals' socioeconomic and demographic characteristics and the labour market, such as education, race/colour, gender, and occupation sector.- Reproduced
https://link.springer.com/article/10.1007/s41027-024-00482-9
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