Behavioral Economics as a driving force to reduce gender inequality
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Keywords

Behavioral Economics
Gender Inequality
Gender Wage Gap
Hiring Processes and Gender Roles

Abstract

Gender inequality is a historical phenomenon that is reflected in the labor market through wage gaps and biases in hiring and evaluation processes that perpetuate these disparities. Behavioral Economics provides key tools to understand the differences in decision-making between men and women, influenced by our context and gender socialization, which shape expectations and behaviors. This article analyzes how traditional gender roles affect decision-making and deepen economic inequality between genders, making the case for how Behavioral Economics can help reduce this gap and transform labor dynamics.

https://doi.org/10.55223/bej.51
pdf (Español (España))

References

Akerlof, G. A., & Kranton, R. E. (2000). Economics and identity. Quarterly Journal of Economics, 115(3), 715–753.

Arango, O. (2025). Les dones i els diners: Desigualtat, gènere i mercats. La Magrana.

Banaji, M. R., & Greenwald, A. G. (2013). Blindspot: Hidden biases of good people. Delacorte Press.

Bapna, S., Benson, A., & Funk, R. J. (2025). Job rejection message content shapes the composition of future applicant pools. SSRN Working Paper. https://ssrn.com/abstract=3953695

Behavioural Insights Team [BIT]. (2020). Gender and Behavioural Insights (GABI) programme: What works to reduce the gender pay gap. Government Equalities Office.

Bertrand, M., & Mullainathan, S. (2004). Are Emily and Greg more employable than Lakisha and Jamal? American Economic Review, 94(4), 991–1013.

Bohnet, I. (2016). What works: Gender equality by design. Harvard University Press.

Bohnet, I., van Geen, A., & Bazerman, M. (2016). When performance trumps gender bias: Joint versus separate evaluation. Management Science, 62(5), 1225–1234.

Castilla, E. J., & Benard, S. (2010). The paradox of meritocracy in organizations. Administrative Science Quarterly, 55(4), 543–576.

Cialdini, R. B., & Trost, M. R. (1998). Social influence: Social norms, conformity and compliance. En D. T. Gilbert, S. T. Fiske y G. Lindzey (Eds.), The handbook of social psychology (pp. 151–192). McGraw-Hill.

Correll, S. J., Benard, S., & Paik, I. (2007). Getting a job: Is there a motherhood penalty? American Journal of Sociology, 112(5), 1297–1338.

Crenshaw, K. (1991). Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color. Stanford Law Review, 43(6), 1241–1299. https://doi.org/10.2307/1229039

Department for Education [DfE] & Behavioural Insights Team [BIT]. (2020). Applying behavioural insights to increase female students' uptake of STEM subjects at A Level. UK Government.

Devine, P. G. (1989). Stereotypes and prejudice: Their automatic and controlled components. Journal of Personality and Social Psychology, 56(1), 5–18.

Diekman, A. B., & Eagly, A. H. (2000). Stereotypes as dynamic constructs. Personality and Social Psychology Bulletin, 26(10), 1171–1188.

Eagly, A. H., & Karau, S. J. (2002). Role congruity theory of prejudice toward female leaders. Psychological Review, 109(3), 573–598.

Forbes / Europa Press. (2026, 4 de marzo). La brecha salarial de género roza el 19%, casi 69 días de sueldo, según USO. Forbes España. https://forbes.es/economia/884503/la-brecha-salarial-de-genero-roza-el-19-casi-69-dias-de-sueldo-segun-uso/

Gaucher, D., Friesen, J., & Kay, A. C. (2011). Evidence that gendered wording in job advertisements exists and sustains gender inequality. Journal of Personality and Social Psychology, 101(1), 109–128.

Glick, P., & Fiske, S. T. (1996). The ambivalent sexism inventory: Differentiating hostile and benevolent sexism. Journal of Personality and Social Psychology, 70(3), 491–512.

Gneezy, U., Niederle, M., & Rustichini, A. (2003). Performance in competitive environments: Gender differences. Quarterly Journal of Economics, 118(3), 1049–1074.

Goldin, C. (2014). A grand gender convergence: Its last chapter. American Economic Review, 104(4), 1091–1119.

Harackiewicz, J. M., Rozek, C. S., Hulleman, C. S., & Hyde, J. S. (2012). Helping parents to motivate adolescents in mathematics and science. Psychological Science, 23(8), 899–906.

Heise, L., Greene, M. E., Opper, N., et al. (2019). Gender inequality and restrictive gender norms: Framing the challenges to health. The Lancet, 393(10189), 2440–2454.

Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.

Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.

Kalev, A., Dobbin, F., & Kelly, E. (2006). Best practices or best guesses? Assessing the efficacy of corporate affirmative action and diversity policies. American Sociological Review, 71(4), 589–617.

Monin, B., & Miller, D. T. (2001). Moral credentials and the expression of prejudice. Journal of Personality and Social Psychology, 81(1), 33–43.

Moss-Racusin, C. A., Dovidio, J. F., Brescoll, V. L., Graham, M. J., & Handelsman, J. (2012). Science faculty's subtle gender biases favor male students. PNAS, 109(41), 16474–16479.

Niederle, M., & Vesterlund, L. (2007). Do women shy away from competition? Do men compete too much? Quarterly Journal of Economics, 122(3), 1067–1101.

Nosek, B. A., Smyth, F. L., Sriram, N., et al. (2009). National differences in gender–science stereotypes predict national sex differences in science and math achievement. PNAS, 106(26), 10593–10597.

PNUD [UNDP]. (2024). Addressing harmful gender stereotypes: Application of behavioural insights [Policy Brief]. Programa de las Naciones Unidas para el Desarrollo / CVE Insights.

Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.

Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453–458.

Uhlmann, E. L., & Cohen, G. L. (2005). Constructed criteria: Redefining merit to justify discrimination. Psychological Science, 16(6), 474–480.

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