Actitudes discriminatorias, decisiones de empleo y fijación de salarios en el lugar de trabajo: evidencia de viñetas experimentales en un país en desarrollo
DOI:
https://doi.org/10.18381/eq.v23i2.7386Resumen
Objetivo: Estudiamos cómo las características demográficas personales de un trabajador afectan la fijación de salarios y las decisiones de empleo entre el personal de una muestra aleatoria de empresas del sector servicios en la Ciudad de México. Metodología: Utilizamos viñetas experimentales y análisis de regresión multivariada. Resultados: Controlando por una medida explícita de pro- ductividad, encontramos una penalización discriminatoria en el empleo de 11% para trabajadores provenientes de Centro y Sudamérica. También existe una penalización del 9% para trabajadores con rostros asimétricos, la cual se presenta únicamente cuando los operativos toman decisiones de despido. En cuanto a los salarios, encontramos una penalización del 2.6% para trabajadores con rostros asimétricos en la muestra de operativos, pero ningún efecto significativo en la muestra de gerentes. Originalidad: Se utiliza un novedoso diseño de viñetas experimentales para el análisis. Conclusiones: Existe evidencia contundente de que la fijación salarial y las decisiones de despido están afectadas por actitudes o prejuicios discriminatorios en el sector servicios de la Ciudad de México.Descargas
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Adams, E. F. (1977). An investigation of the influence of job level and functional specialty on job attitudes and perceptions. Journal of Applied Psychology, 62(3), 335-343. DOI: https://doi.org/10.1037/0021-9010.62.3.335
Ahmad, A. (2020). Ethnic discrimination against second-generation immigrants in hiring: empirical evidence from a correspondence test. European Societies, 22(5), 659-681. DOI: https://doi.org/10.1080/14616696.2020.1822536
Alexander, C. S., & Becker, H. J. (1978). The use of vignettes in survey research. Public Opinion Quarterly, 42(1), 93-104. DOI: https://doi.org/10.1086/268432
Angrist, J. D., & Pischke, J.-S. (2009). Mostly harmless econometrics: an empiricist’s companion. Princeton, NJ: Princeton University Press.
Antonioni, D., & Park, H. (2001). The relationship between rater affect and three sources of 360-degree feedback ratings. Journal of Management, 27(4), 479-495. DOI: https://doi.org/10.1177/0149206301027004
Arceo-Gomez, E. O., & Campos-Vazquez, R. M. (2014). Race and marriage in the labor market: a discrimination correspondence study in a developing country. American Economic Review, 104(5), 376-380. DOI: https://doi.org/10.1257/aer.104.5.376
Arrow, K. J. (1973). The theory of discrimination. En O. Ashenfelter & A. Rees (eds.). Discrimination in labor markets (pp. 1-33). Princeton, NJ: Princeton University Press.
Atzmüller, C., & Steiner, P. M. (2010). Experimental vignette studies in survey research. Methodology, 6(3), 128-138. DOI: https://doi.org/10.1027/1614-2241/a000014
Baert, S. (2018). Hiring discrimination: An overview of (almost) all correspondence experiments since 2005. En S. M. Gaddis (ed.). Audit studies: behind the scenes with theory, method, and nuance (pp. 63-77). Cham: Springer. DOI: https://doi.org/10.1007/978-3-319-71153-9_3
Bamberger, P. A., Erev, I., Kimmel, M., & Oref-Chen, T. (2005). Peer assessment, individual performance, and contribution to group processes: the impact of rater anonymity. Group & Organization Management, 30(4), 344-377. DOI: https://doi.org/10.1177/1059601104267619
Bandiera, O., Barankay, I., & Rasul, I. (2009). Social connections and incentives in the workplace: evidence from personnel data. Econometrica, 77(4), 1047-1094. DOI: https://doi.org/10.3982/ECTA6496
Banerjee, A., Bertrand, M., Datta, S., & Mullainathan, S. (2009). Labor market discrimination in Delhi: evidence from a field experiment. Journal of Comparative Economics, 37(1), 14- 27. DOI: https://doi.org/10.1016/j.jce.2008.09.002
Becker, G. S. (1957). The economics of discrimination. Chicago: University of Chicago Press.
Berkowitz, L., & Donnerstein, E. (1982). External validity is more than skin deep: Some answers to criticisms of laboratory experiments. American Psychologist, 37(3), 245-257. DOI: https://doi.org/10.1037/0003-066X.37.3.245
Bertrand, M., & Mullainathan, S. (2004). Are Emily and Greg more employable than Lakisha and Jamal? a field experiment on labor market discrimination. The American Economic Review, 94(4), 991-1013. DOI: https://doi.org/10.1257/0002828042002561
Blommaert, L., Coenders, M., & van Tubergen, F. (2014). Ethnic discrimination in recruitment and decision makers’ features: evidence from laboratory experiment and survey data using a student sample. Social Indicators Research, 116(3), 731-754. DOI: https://doi.org/10.1007/s11205-013-0329-4
Bodvarsson, Ö. B., & Partridge, M. D. (2001). A supply and demand model of co-worker, employer and customer discrimination. Labour Economics, 8(3), 389-416. DOI: https://doi.org/10.1016/S0927-5371(00)00029-4
Bokemper, S. E., Descioli, P., & Kline, R. (2019). Unfair rules for unequal pay: wage discrimination and procedural justice. Journal of Experimental Political Science, 6(3), 180-191. DOI: https://doi.org/10.1017/XPS.2019.11
Bol, J. C. (2011). The determinants and performance effects of managers’ performance evaluation biases. The Accounting Review, 86(5), 1549-1575. DOI: https://doi.org/10.2308/accr-10099
Booth, A. L., & Leigh, A. (2010). Do employers discriminate by gender? A field experiment in female-dominated occupations. Economics Letters, 107(2), 236-238. DOI: https://doi.org/10.1016/j.econlet.2010.01.034
Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for experimenters: design, innovation, and discovery (2 ed.). Hoboken, NJ: Wiley.
Brown, C. (2022). Understanding gender discrimination by managers [Chicago: The author]. https://christinalbrown.github.io/gender_disc_paper.pdf
Chamberlain, G. (1980). Analysis of covariance with qualitative data. The Review of Economic Studies, 47(1), 225-238. DOI: https://doi.org/10.2307/2297110
Clark, A. E., & Oswald, A. J. (1994). Unhappiness and unemployment. The Economic Journal, 104(424), 648-659.
Dulleck, U., Fooken, J., & He, Y. (2020). Hukou status and individual-level labor market discrimination: An experiment in China. ILR Review, 73(3), 628-649. DOI: https://doi.org/10.1177/0019793919887118
Easterlin, R. A. (1974). Does economic growth improve the human lot? Some empirical evidence. En P. A. David & M. W. Reder (eds.). Nations and households in economic growth: essays in honor of Moses Abramovitz (pp. 89-125). New York: Academic Press. DOI: https://doi.org/10.1016/B978-0-12-205050-3.50008-7
Edwards, A. L. (1953). The relationship between the judged desirability of a trait and the probability that the trait will be endorsed. Journal of Applied Psychology, 37(2), 90-93. DOI: https://doi.org/10.1037/h0058073
Finseraas, H., Johnsen, Å. A., Kotsadam, A., & Torsvik, G. (2016). Exposure to female colleagues breaks the glass ceiling: evidence from a combined vignette and field experiment. European Economic Review, 90, 363-374. DOI: https://doi.org/10.1016/j.euroecorev.2015.11.010
Fisher, R. A. (1942). The design of experiments. Edimburgh, Scotland: Oliver & Boyd.
Galarza, F. B., & Yamada, G. (2014). Labor market discrimination in Lima, Peru: evidence from a field experiment. World Development, 58, 83- 94. DOI: https://doi.org/10.1016/j.worlddev.2014.01.003
Gatskova, K. (2021). Gender wage gap and gender attitudes in Ukraine. En T. Karabchuk, K. Kumo, K. Gatskova, E. Skoglund (eds.) Gendering post- Soviet space: demography, labor market and values in empirical research (pp. 181-194). Cham: Springer.
Gomila, R. (2021). Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis. Journal of Experimental Psychology: General, 150(4), 700-709. DOI: https://doi.org/10.31234/osf.io/4gmbv, 2019
Graham, W. K. (1969). Comparison of job attitude components across three organizational levels. Personnel Psychology, 22(1), 33-40. DOI: https://doi.org/10.1111/j.1744-6570.1969.tb02053.x
Hainmueller, J., Hopkins, D. J., & Yamamoto, T. (2014). Causal inference in conjoint analysis: understanding multidimensional choices via stated preference experiments. Political Analysis, 22(1), 1-30. DOI: https://doi.org/10.1093/pan/mpt024
Hainmueller, J., Hangartner, D., & Yamamoto, T. (2015). Validating vignette and conjoint survey experiments against real-world behavior. Proceedings of the National Academy of Sciences, 112(8), 2395-2400. DOI: https://doi.org/10.1073/pnas.1416587112
Hamermesh, D. S., & Biddle, J. E. (1993). Beauty and the labor market. National Bureau of Economic Research Working Papers (4518). DOI https://doi.org/10.3386/w4518
Harper, B. (2000). Beauty, stature and the labour market: a British cohort study. Oxford Bulletin of Economics and Statistics, 62(s1), 771-800. DOI: https://doi.org/10.1111/1468-0084.0620s1771
Hazucha, J. F., Hezlett, S. A., & Schneider, R. J. (1993). The impact of 360-degree feedback on management skills development. Human Resource Management, 32(2-3), 325-351. DOI: https://doi.org/10.1002/hrm.3930320210
Hsieh, C.-T., Hurst, E., Jones, C. I., & Klenow, P. J. (2019). The allocation of talent and US economic growth. Econometrica, 87(5), 1439- 1474. DOI: https://doi.org/10.3982/ECTA11427
Instituto Nacional de Estadística y Geografía [INEGI] (2025). DENUE, Directorio estadístico nacional de unidades económicas. Aguascalientes: INEGI.
Jowell, R., & Prescott-Clarke, P. (1970). Racial discrimination and white-collar workers in Britain. Race, 11(4), 397-417. DOI: https://doi.org/10.1177/030639687001100401
Kahneman, D., & Tversky, A. (1979). Prospect theory: an analysis of decision under risk. Econometrica, 47(2), 263-291. DOI: https://doi.org/10.2307/1914185
Kübler, D., Schmid, J., & Stüber, R. (2018). Gender discrimination in hiring across occupations: a nationally-representative vignette study. Labour Economics, 55, 215-229. DOI: https://doi.org/10.1016/j.labeco.2018.10.002
Levitt, S. D., & List, J. A. (2007). What do laboratory experiments measuring social preferences reveal about the real world? Journal of Economic Perspectives, 21(2), 153-174. DOI: https://doi.org/10.1257/jep.21.2.153
Loewenstein, G. (1999). Experimental economics from the vantage-point of behavioural economics. The Economic Journal, 109(453), 25-34. DOI: https://doi.org/10.1111/1468-0297.00400
Ma, D. S., Correll, J., & Wittenbrink, B. (2015). The Chicago face database: a free stimulus set of faces and norming data. Behavior Research Methods, 47(4), 1122-1135. DOI: https://doi.org/10.3758/s13428-014-0532-5
Maurer-Fazio, M. (2012). Ethnic discrimination in China’s internet job board labor market. IZA Journal of Migration, 1(1), Article 12. DOI: https://doi.org/10.1186/2193-9039-1-12
McCarthy, A. M., & Garavan, T. N. (2001). 360° feedback process: Performance, improvement and employee career development. European Journal of Training and Development, 25(1), 5-32. DOI: https://doi.org/10.1108/03090590110380614
McDonald, P. (2019). How factorial survey analysis improves our understanding of employer preferences. Swiss Journal of Sociology, 45(2), 237-260. DOI: https://doi.org/10.2478/sjs-2019-0011
Mellahi, K., & Harris, L. C. (2016). Response rates in business and management research: An overview of current practice and suggestions for future direction. British Journal of Management, 27(2), 426-437. DOI: https://doi.org/10.1111/1467-8551.12154
Miranda Caso Luengo, A., Aguilar-Rodríguez, A., Zizumbo Colunga, D., & Sainz-Santamaría, J. (2019). Diversidad y discriminación en las empresas del sector servicios de la Ciudad de México. México: SeGob, Consejo Nacional para Prevenir la Discriminación (CONAPRED). https://sindis.conapred.gob.mx/wp-content/ploads/2020/01/Discriminacion_Empresas.Ax_.pdf
Mobius, M. M., & Rosenblat, T. S. (2006). Why beauty matters. American Economic Review, 96(1), 222-235. DOI: https://doi.org/10.1257/000282806776157515
Mujica, C. A., & Bridges, A. J. (2023). Horizontal and vertical racial/ethnic discrimination: attributions and impact. Cham: Springer Nature. DOI: https://doi.org/10.1007/978-3-031-33058-2_1
Mundlak, Y. (1978). On the pooling of time series and cross section data. Econometrica, 46(1), 69-85. DOI: https://doi.org/10.2307/1913646
Neumark, D. (2018). Experimental research on labor market discrimination. Journal of Economic Literature, 56(3), 799-866. DOI: https://doi.org/10.1257/jel.20161309
Oesch, D., Lipps, O., & McDonald, P. (2017). The wage penalty for motherhood: evidence on discrimination from panel data and a survey experiment for Switzerland. Demographic Research, 37, 1793-1824. DOI: https://doi.org/10.4054/DemRes.2017.37.56
Petit, P. (2007). The effects of age and family constraints on gender hiring discrimination: a field experiment in the French financial sector. Labour Economics, 14(3), 371-391. DOI: https://doi.org/10.1016/j.labeco.2006.01.006
Reingen, P. H., & Kernan, J. B. (1993). Social perception and interpersonal influence: some consequences of the physical attractiveness stereotype in a personal selling setting. Journal of Consumer Psychology, 2(1), 25-38. DOI: https://doi.org/10.1016/S1057-7408(08)80073-3
Riach, P. A., & Rich, J. (2006). An experimental investigation of sexual discrimination in hiring in the English labor market. The B.E. Journal of Economic Analysis & Policy, 6(2, Advances), art. 1. https://fieldexperiments-papers2.s3.amazonaws.com/papers/00329.pdf
Roscigno, V. J. (2019). Discrimination, sexual harassment, and the impact of workplace power. Socius: Sociological Research for a Dynamic
World, 5, 1-13. https://journals.sagepub.com/doi/10.1177/2378023119853894
Rosen, B., & Jerdee, T. H. (1974). Influence of sex role stereotypes on personnel decisions. Journal of Applied Psychology, 59(1), 9-14. DOI: https://doi.org/10.1037/h0035834
Rosen, B., & Jerdee, T. H. (1977). Too old or not too old? Harvard Business Review, 55(6), 97-106. https://eric.ed.gov/?id=EJ177598
Rossi, P. H., & Anderson, A. B. (1982). The factorial survey approach: an introduction. En P. H.
Rossi & S. L. Nock (eds.). Measuring social judgments: The factorial survey approach (pp. 15-67). Thousand Oaks, CA: Sage.
Rousseau, D. M. (1978). Characteristics of departments, positions, and individuals: contexts for attitudes and behavior. Administrative Science Quarterly, 23(4), 521-540. DOI: https://doi.org/10.2307/2392578
Smith, V. L. (1982). Microeconomic systems as an experimental science. The American Economic Review, 72(5), 923-955. https://www.jstor.org/stable/1812014
Starmer, C. (1999). Experimental economics: hard science or wasteful tinkering? The Economic Journal, 109(453), 5-15. DOI: https://doi.org/10.1111/1468-0297.00398
Valle, M., & Bozeman, D. P. (2002). Interrater agreement on employees’ job performance: review and directions. Psychological Reports, 90(3), 975-985. DOI: https://doi.org/10.2466/pr0.2002.90.3.975
Varian, H. R. (1992). Microeconomic analysis. 3 ed. New York: W. W. Norton.
Weichselbaumer, D. (2020). Multiple discrimination against female immigrants wearing headscarves. ILR Review, 73(3), 600- 627. DOI: https://doi.org/10.1177/0019793919875707
Weiss, E. M., & Maurer, T. J. (2004). Age discrimination in personnel decisions: a reexamination. Journal of Applied Social Psychology, 34(8), 1551-1562. DOI: https://doi.org/10.1111/j.1559-1816.2004.tb02786.x
Werner, J. M. (1994). Dimensions that make a difference: Examining the impact of in-role and extra-role behaviors on supervisory ratings. Journal of Applied Psychology, 79(1), 98-107. https://psycnet.apa.org/buy/1994-31626-001
Wooldridge, J. M. (2007). Inverse probability weighted estimation for general missing data problems. Journal of Econometrics, 141(2), 1281-1301. DOI: https://doi.org/10.1016/j.jeconom.2007.02.002
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Derechos de autor 2026 Alfonso Miranda, Daniel Zizumbo-Colunga, Adriana Aguilar-Rodríguez, Jaime Sainz Santamaría

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