Diferença salarial e taxa de participação no mercado de trabalho brasileiro: uma análise a partir do sexo dos indivíduos
DOI:
https://doi.org/10.1590/0101-41615112grsPalavras-chave:
Taxa de participação, Discriminação de gênero, Diferença salarial de gêneroResumo
Este artigo investiga a relação o entre a diferença de remuneração entre os sexos e a taxa de participação de homens e mulheres no mercado de trabalho brasileiro. Utilizando dados das PNADs Contínuas de 2012.I a 2018.IV, estimamos os efeitos do prˆemio salarial de sexo sobre a inserção de homens e mulheres no mercado de trabalho, pormenorizando a análise por grupos ´étnicos e de renda. Nossos resultados trazem evidˆências a favor da hipótese de que a diferença salarial contra as mulheres diminui a taxa de participação feminina. As estimativas apontam que a eliminação da diferença salarial entre os sexos pode trazer ganhos de 5 p.p. de taxa de participação feminina entre mulheres mais ricas, e de 2,3 p.p. para mulheres mais pobres. Os efeitos líquidos, medidos pela probabilidade conjunta de participação do casal no mercado de trabalho, são em geral negativos, no sentido de que uma maior diferença salarial reduz a probabilidade conjunta de participação.
Downloads
Referências
Adda, J., C. Dustmann, and K. Stevens. 2017. “The career costs of children”. Journal of Political Economy 125, no.2: 293–337.
Arrow, K. J. 1971. Some models of racial discrimination in the labor market (No. RM-6253-RC). RAND CORP SANTA MONICA CA.
Badgett, L., S. Nezhad, K. Waaldijk, and Y. Rodgers. 2014. “The Relationship between LGBT Inclu- sion and Economic Development: An Analysis of Emerging Economies”. Disponível em: < https://escholarship.org/content/qt3kn013kr/qt3kn013kr.pdf> Visitado em 10-02-2020.
Badgett, M. V. L. and M. Ash. 2006. “Separate and unequal: The effect of unequal access to employment-based health insurance on same-sex and unmarried different-sex couples”. Contem- porary Economic Policy (ID 1095935).
Badgett, M. V. L. and N. Folbre. 2003. “Job gendering: Occupational choice and the marriage market”. Industrial Relations: A Journal of Economy and Society 42, no.2: 270–298.
Banco Mundial. 2019. World development indicators.
Bertrand, M. 2019. “The gender socialization of children growing up in nontraditional families”. AEA Papers and Proceedings 109, 115–121.
Blau, D. M. and P. K. Robins. 1988. “Child-care costs and family labor supply”. The Review of Economics and Statistics 70, no.3: 374–381.
Blau, F. D., M. A. Ferber, and A. E. Winkler. 2013. The Economics of Women, Men and Work (7 edition ed.). Pearson.
Blinder, A. S. 1973. “Wage discrimination: Reduced form and structural estimates”. The Journal of Human Resources 8, no.4: 436–455.
Connelly, R. 1992. “The effect of child care costs on married women’s labor force participation”. The Review of Economics and Statistics 74, no.1: 83–90.
Cook, Cody et al. The gender earnings gap in the gig economy: Evidence from over a million rideshare drivers. National Bureau of Economic Research, 2018.
Eckstein, Z. and K. I. Wolpin. 1989. “Dynamic labour force participation of married women and endogenous work experience”. The Review of Economic Studies 56, no.3: 375–390.
Ferber, M. A. 1982. “Labor market participation of young married women: Causes and effects”. Journal of Marriage and the Family 44, no.2: 457–68.
Blau, F. D., Ferber, M. A., & Winkler, A. E. 2013. The economics of women, men and work. Pearson Higher Ed.
Fortin, N. M. 2015. “Gender role attitudes and women’s labor market participation: Opting-out, AIDS, and the persistent appeal of housewifery”. Annals of Economics and Statistics 117: 379– 401.
Goldin, C. and L. F. Katz. 2002. “The power of the pill: Oral contraceptives and women’s career and marriage decisions”. Journal of Political Economy 110, no.4: 730–770.
Gray, J. S. 1998. “Divorce-law changes, household bargaining, and married women’s labor supply”. The American Economic Review 88, no.3: 628–642.
Gronau, R. 1973. “The intrafamily allocation of time: The value of the housewives’ time”. The American Economic Review 63, no.4: 634–651.
Gronau, R. 1974. “Wage comparisons–a selectivity bias”. Journal of Political Economy 82, no.6: 1119–1143.
Groshen, E. L. 1991. “The structure of the female/male wage differential: Is it who you are, what you do, or where you work?” The Journal of Human Resources 26, no.3: 457–472.
Heckman, J. J. 1979. “Sample selection bias as a specification error”. Econometrica 47, no.1: 153–161.
Hoffmann, R. and A. L. Kassouf. 2005. “Deriving conditional and unconditional marginal effects in log earnings equations estimated by Heckman’s procedure”. Applied Economics 37: 1303–1311.
Juhn, C., K. M. Murphy, and B. Pierce. 1993. “Wage inequality and the rise in returns to skill”. Journal of Political Economy 101, no.3: 410–442.
Kleven, H., C. Landais, and J. E. Søgaard. 2018. Children and gender inequality: Evidence from Denmark. NBER Working Paper (24219).
Lippmann, Q., A. Georgieff, and C. Senik. 2019. Undoing gender with institutions: Lessons from the german division and reunification. SSRN Scholarly Paper.
Little, R. J. A. 1988. “Missing-data adjustments in large surveys”. Journal of Business & Economic Statistics 6, no.3: 287–296.
Madalozzo, R. 2010. “Occupational segregation and the gender wage gap in brazil: an empirical analysis”. Economia Aplicada 14, no.2: 147–168.
Madalozzo, R. and M. Mauriz. 2012. “Does investing in education reduce the gender wage gap?: A Brazilian population study”. Population Review 51.
Neumark, D., R. J. Bank, and K. D. Van Nort. 1996. “Sex discrimination in restaurant hiring: An audit study”. The Quarterly Journal of Economics 111, no.3: 915–941.
Oaxaca, R. 1973. “Male-female wage differentials in urban labor markets”. International Economic Review 14, no.3: 693–709.
Pastore, F. 2012. “To study or to work? Education and labour market participation of young people in Poland”. Eastern European Economics 50, no.3: 49–78.
Phelps, E. S. 1972. “The statistical theory of racism and sexism”. The American Economic Review 62, no.4: 659–661.
Rubin, D. B. 1986. “Statistical matching using file concatenation with adjusted weights and multiple imputations”. Journal of Business & Economic Statistics 4, no.1: 87–94.
Sanfelice, V. 2019. Essays on Public Policies Using City Neighborhoods Variation (Doctoral dissertation, University of Rochester).
Scorzafave, L. G. and E. T. Pazello. 2007. “Using normalized equations to solve the indetermination problem in the Oaxaca-Blinder decomposition: an application to the gender wage gap in Brazil”. Revista Brasileira de Economia 61, no.4: 535–548.
Steinpreis, R. E., K. A. Anders, and D. Ritzke. 1999. “The impact of gender on the review of the curricula vitae of job applicants and tenure candiyears: A national empirical study”. Sex Roles 41, no.7: 509–528.
Waldfogel, J. 1998. “Understanding the ”family gap”in pay for women with children”. The Journal of Economic Perspectives 12, no.1: 137–156.
Downloads
Publicado
Edição
Seção
Licença
Copyright (c) 2021 Gabriel Nemer Tenoury, Regina Madalozzo, Sérgio Martins
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial 4.0 International License.
A submissão de artigo autoriza sua publicação e implica o compromisso de que o mesmo material não esteja sendo submetido a outro periódico.
A revista não paga direitos autorais aos autores dos artigos publicados.
Dados de financiamento
-
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Números do Financiamento 001