Análisis de la brecha salarial de género en Bolivia: Encuesta de hogares 2024
DOI:
https://doi.org/10.61347/ei.v5iEsp.1.304Palabras clave:
Brecha salarial de género, Descomposición de Oaxaca-Blinder, discriminación, mercado laboral, regresión cuantílicaResumen
La presente investigación tuvo como objetivo identificar las variables más relevantes que explican la brecha salarial de género en Bolivia, utilizando la Encuesta de Hogares 2024. Se partió de la premisa de que, a pesar de los avances en educación y participación laboral femenina, persisten desigualdades estructurales que afectan los ingresos de las mujeres en comparación con los hombres. Se analizaron factores como el nivel educativo, la experiencia laboral, la segregación ocupacional, la penalización por maternidad y otras variables socioeconómicas que influyen en la determinación de los salarios. La investigación adoptó un enfoque cuantitativo, aplicando la descomposición de Oaxaca-Blinder y el modelo de regresión cuantílica, lo que permitió evaluar la contribución de las características observables y no observables a la brecha salarial. Los resultados evidenciaron que la brecha responde tanto a factores estructurales como a elementos discriminatorios, subrayando la necesidad de políticas públicas que reduzcan las desigualdades, promuevan la equidad laboral y garanticen igualdad de oportunidades entre hombres y mujeres.
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Ahmed, S., & Maitra, P. (2015). A distributional analysis of the gender wage gap in Bangladesh. The Journal of Development Studies, 51(11), 1444–1458. https://doi.org/10.1080/00220388.2015.1046444
Akbar, F. (2022). Gender wage gap: Evidence from employment in informal sector. The Journal of Indonesia Sustainable Development Planning, 3(2), 104–117. https://doi.org/10.46456/jisdep.v3i2.301
Alonso, N., & Ruiz, M. (2023). Introducción al semi-monográfico "Brecha salarial de género: análisis de las desigualdades retributivas con enfoque multidisciplinar". Revista de Economía Crítica, 35, 38–41. https://doi.org/10.46661/rec.8970
Alwago, W. (2024). Decomposing the gender wage gap in the urban labor market in Kenya. Studia Universitatis „Vasile Goldis” Arad – Economics Series, 34(4), 1-33. https://doi.org/10.2478/sues-2024-0016
Arellano, M., & Bonhomme, S. (2017). Quantile selection models with an application to understanding changes in wage inequality. Econometrica, 85(1), 1–28. https://doi.org/10.3982/ECTA14030
Baert, S., De Pauw, A., & Deschacht, N. (2016). Do employer preferences contribute to sticky floors? ILR Review, 69(3). https://doi.org/10.1177/0019793915625213
Becker, G. (1964). Human capital: A theoretical and empirical analysis with special reference to education. National Bureau of Economic Research. https://n9.cl/aa94
Becker, G. (1983). El capital humano: Un análisis teórico y empírico referido fundamentalmente a la educación (2ª ed.). Alianza Editorial. https://n9.cl/phy4u
Blinder, A. (1973). Wage discrimination: Reduced form and structural estimates. The Journal of Human Resources, 8(4), 436–455. https://doi.org/10.2307/144855
Bonaccolto-Töpfer, M., Castagnetti, C., & Prümer, S. (2022). Understanding the public-private sector wage gap in Germany: New evidence from a fixed effects quantile approach. Economic Modelling, 116, 106037. https://doi.org/10.1016/j.econmod.2022.106037
Buligescu, B., Borghans, L., & Fouarge, D. (2020). The impact of occupational segregation on occupational gender pay gap in the European Union. Journal of Community Positive Practices, 4. https://doi.org/10.35782/JCPP.2020.4.05
Ciminelli, G., Schwellnus, C., & Stadler, B. (2021). Sticky floors or glass ceilings? The role of human capital, working time flexibility and discrimination in the gender wage gap. OECD Economics Department Working Papers. https://doi.org/10.1787/02ef3235-en
Combet, B., & Oesch, D. (2019). The gender wage gap opens long before motherhood: Panel evidence on early careers in Switzerland. European Sociological Review, 35(3), 332–345. https://doi.org/10.1093/esr/jcz009
Comisión Económica para América Latina y el Caribe [CEPAL]. (2025). Panorama social de América Latina y el Caribe, 2025: Cómo salir de la trampa de alta desigualdad, baja movilidad social y débil cohesión social. (CEPAL). https://n9.cl/8neqx9
Couceiro, A., & Dolado, J. (2023). Revisiting the public–private wage gap in Spain: New evidence and interpretation. SERIEs, 14, 353–377. https://doi.org/10.1007/s13209-023-00277-z
Depalo, D., Giordano, R., & Papapetrou, E. (2015). Public–private wage differentials in euro-area countries: Evidence from quantile decomposition analysis. Empirical Economics, 49, 985–1015. https://doi.org/10.1007/s00181-014-0900-0
Deschacht, N., De Pauw, A., & Baert, S. (2017). Do gender differences in career aspirations contribute to sticky floors? International Journal of Manpower, 38(4), 580–593. https://doi.org/10.1108/IJM-10-2015-0171
Deshpande, A., Goel, D., & Khanna, S. (2018). Bad karma or discrimination? Male–female wage gaps among salaried workers in India. World Development, 102, 331–344. https://doi.org/10.1016/j.worlddev.2017.07.012
Díaz, M. (2019). Segregación ocupacional: Participación y reconocimiento de mujeres empleadas en trabajos de dominación masculina. Sociología del Trabajo, 94, 147–153. https://doi.org/10.5209/STRA.63487
Duraisamy, M., & Duraisamy, P. (2016). Gender wage gap across the wage distribution in different segments of the Indian labour market, 1983–2012: Exploring the glass ceiling or sticky floor phenomenon. Applied Economics, 48(43), 4098–4111. https://doi.org/10.1080/00036846.2016.1150955
Firpo, S., Fortin, N., & Lemieux, T. (2009). Unconditional quantile regressions. Econometrica, 77(3), 953–973. https://doi.org/10.3982/ECTA6822
Fuller, S., & Kim, Y. (2023). Women managers and the gender wage gap: Workgroup gender composition matters. Work and Occupations, 51(3), 325–361. https://doi.org/10.1177/07308884231178314
Gallardo, R., Ojeda, M., Montano, J., & Valdés, E. (2025). Wage discrimination by gender in Mexico: The case of management and professional jobs. Contaduría y administración, 70(4), e524. https://doi.org/10.22201/fca.24488410e.2025.5393
Gao, K., & Tian, Z. (2023). The effect of motherhood on wages: Are women’s wage penalties due to lack of career aspirations? Applied Economics, 55(54), 6410–6426. https://doi.org/10.1080/00036846.2022.2156469
Gardeazabal, J., & Ugidos, A. (2001). Measuring the gender gap at different quantiles of the wage distribution. Studies on the Spanish Economy, 108. FEDEA. https://ideas.repec.org/p/fda/fdaeee/108.html
Gardeazabal, J., & Ugidos, A. (2005). Gender wage discrimination at quantiles. Journal of Population Economics, 18, 165–179. https://doi.org/10.1007/s00148-003-0172-z
Goldin, C. (2023). Why women won (NBER Working Paper No. 31762). National Bureau of Economic Research. https://doi.org/10.3386/w31762
Gontero, S., & Ravest, J. (2025). Desigualdad salarial de género en América Latina: ¿Cuál es la brecha relevante por cerrar? Informe técnico No. 51. Organización Internacional del Trabajo. https://n9.cl/sn58jr
Goy, S., & Johnes, G. (2015). Differences in decline: Quantile regression of male–female earnings differential in Malaysia. The Singapore Economic Review, 60(4), 1550054. https://doi.org/10.1142/S021759081550054X
Gradín, C. (2020). Segregation of women into low-paying occupations in the United States. Applied Economics, 52(17), 1905–1920. https://doi.org/10.1080/00036846.2019.1682113
Gutiérrez, I. (2023). Medición de la brecha salarial de género: Una aproximación a través de la revisión de literatura. Revista de Economía Crítica, 35, 42–59. https://doi.org/10.46661/rec.8969
Guzmán, D. (2021). Brechas de género en la educación superior en Chile y su impacto en la segregación laboral: Una revisión sistemática de la literatura. International Journal for 21st Century Education, 8(1). https://doi.org/10.21071/ij21ce.v8i1.13650
Hara, H. (2018). The gender wage gap across the wage distribution in Japan: Within- and between-establishment effects. Labour Economics, 53, 213–229. https://doi.org/10.1016/j.labeco.2018.04.007
Heckman, J., Pinto, R., & Savelyev, P. (2013). Understanding the mechanisms through which an influential early childhood program boosted adult outcomes. American Economic Review, 103(6), 2052–2086. https://doi.org/10.1257/aer.103.6.2052
Herrarte, A., & Urcelay, P. (2022). The wage penalty for motherhood in Spain (2009-2017): The role of the male partner’s job characteristics. Hacienda Pública Española/Review of Public Economics, 241(2), 27–57. https://doi.org/10.7866/HPE-RPE.22.2.2
Icardi, R. (2021). Returns to workplace training for male and female employees and implications for the gender wage gap: A quantile regression analysis. International Journal for Research in Vocational Education and Training, 8(1). https://doi.org/10.13152/IJRVET.8.1.2
Instituto Boliviano de Comercio Exterior (IBCE). (2023). Salario en Bolivia (Boletín CIFRAS, Edición N° 1.178). Instituto Boliviano de Comercio Exterior. https://n9.cl/dixil7
International Labour Organization [OIT]. (2024). Perspectivas sociales y del empleo en el mundo: Tendencias 2024 (1ª ed.). https://doi.org/10.54394/EIIX3179
Kim, M., & Park, K. (2023). Glass ceiling or sticky floor? Evidence from a distributional approach of the gender wage gap among PhD holders in South Korea. Asian-Pacific Economic Literature. https://doi.org/10.1111/apel.12379
Koenker, R. (2017). Quantile regression: 40 years on. Annual Review of Economics, 9, 155–176. https://doi.org/10.1146/annurev-economics-063016-103651
Landivar, L. (2020). First-birth timing and the motherhood wage gap in 140 occupations. Socius: Sociological Research for a Dynamic World. https://doi.org/10.1177/2378023120939424
Li, F., & Villegas, G. (2014). Sector de la economía laboral (SEL): una visión costarricense. Revista Nacional de Administración, 4(2), 53–66. https://doi.org/10.22458/rna.v4i2.545
Mahadevan, R., & Suardi, S. (2012). Impact of socio-economic factors and social affiliation on living standards: A quantile regression approach. Applied Economics Letters, 19(13), 1231–1236. https://doi.org/10.1080/13504851.2011.619478
Maldonado, J., & Peña, C. (2019). Maternity and pay gap: Does the labor market penalize maternity? Banco Central del Ecuador: Cuestiones Económicas, 30(2). e-ISSN: 2697-3367. https://n9.cl/zgflj
Mincer, J. (1974). Schooling, experience, and earnings. National Bureau of Economic Research. https://www.nber.org/books/minc74-1
Mishra, S., & Trivedi, S. (2024). Gender wage disparity in urban India: An analysis using unconditional quantile regression. Demography India, 53(2), 1231–1236. https://n9.cl/o4qf8g
Mora, J., & Herrera, D. (2025). Pseudo-panel decomposition of the Blinder–Oaxaca gender wage gap. Econometrics, 13(3), 27. https://doi.org/10.3390/econometrics13030027
Mota, T., & & Farías, J. (2019). Segregación de las mujeres en rubros tecnológicos. Revista Scientific, 4(Ed. Esp.), 84–94. https://doi.org/10.29394/Scientific.issn.2542-2987.2019.4.E.5.84-94
Nguyen, B., Albrecht, J., Vroman, S., & Westbrook, D. (2003). A quantile regression decomposition of urban-rural inequality in Vietnam. Journal of Development Economics, 83(2), 466-490. https://ideas.repec.org/p/geo/guwopa/gueconwpa~03-03-31.html
Oaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economic Review, 14(3), 693–709. https://doi.org/10.2307/2525981
Oliver, X., & Sard, M. (2020). Gender wage gap in hospitality. Cornell Hospitality Quarterly, 45(2), 123–135. https://doi.org/10.1177/1096348020909423
ONU MUJERES. (2024). Conoce más sobre brecha salarial: causas, cifras y por qué hay que combatirla. ONU Mujeres América Latina y el Caribe. https://n9.cl/nfiwy
Ouédraogo, E., Dembélé, A., & Bationo, J. L. (2021). Quantile regression analysis of wage inequality in West-African countries. Regional Economic Development Research, 2(2), 180–192. https://doi.org/10.37256/redr.2220211008
Pal, K., Piaget, K., Zahidi, S., & Baller, S. (2024). Global Gender Gap Report 2024. World Economic Forum. https://n9.cl/7t49w
Park, K. (2021). Education-job mismatch and gender wage gap: Evidence from recent college graduates in Korea. Asian Women, 37(1), 1–24. https://doi.org/10.14431/aw.2021.3.37.1.1
Pepping, A., & Maniam, B. (2020). The motherhood penalty. Journal of Business and Behavioral Sciences, 32(2), 110–125. https://n9.cl/b5rn1
Rattsø, J., & Stokke, H. (2020). Private-public wage gap and return to experience: Role of geography, gender and education. Regional Science and Urban Economics, 83, 103571. https://doi.org/10.1016/j.regsciurbeco.2020.103571
Santero-Sánchez, R., & Castro, B. (2022). Pursuing equal pay for equal work: Gender diversity in management positions and the gender pay gap throughout the wage distribution. Equality, Diversity and Inclusion: An International Journal. Advance online publication. https://doi.org/10.1177/23409444221125239
Stabridis, O., & Salgado-Viveros, C. (2023). Efectos de género y etnicidad en la brecha salarial entre jornaleros agrícolas del noroeste mexicano. Frontera Norte, 35, 1–24. https://doi.org/10.33679/rfn.v1i1.2339
Stokke, H. (2021). The gender wage gap and the early-career effect: The role of actual experience and education level. Labour Economics. Advance online publication. https://doi.org/10.1111/labr.12191
Tandrayen-Ragoobur, V., & Pydayya, R. (2015). Glass ceiling and sticky floors: Hurdles for Mauritian working women. Equality, Diversity and Inclusion: An International Journal, 34(5), 452–466. https://doi.org/10.1108/EDI-08-2014-0064
Verino, C. (2019). Federici, Silvia (2018) El patriarcado del salario: Críticas feministas al marxismo. Perspectivas Revista de Ciencias Sociales, 4(7), 269–272. https://doi.org/10.35305/prcs.v0i7.30
Warunsiri, S., & Liao, L. (2019 (2022). Parenthood penalty and gender wage gap: Recent evidence from Thailand. Journal of Asian Economics, 78, 101435. https://www.pier.or.th/en/dp/102/
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