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Affirmative action and application strategies: Evidence from field experiments in Columbia

Author

Listed:
  • Banerjee, Ritwik
  • Ibanez, Marcela
  • Riener, Gerhard
  • Sahoo, Soham

Abstract

Affirmative action changes incentives at all stages of the employment process. In this paper, we study the effects of affirmative action statements in job ads on i) the effort expended on the application process and ii) the manifestation of emotions, as measured by the textual analysis of the content of the motivation letter. To this end, we use data from two field experiments conducted in Colombia. We find that in the Control condition, women spend less time in the application process relative to men. Besides, female motivation letters exhibit lower levels of emotion, as measured by valence, arousal, and dominance. However, those differences vanish in the affirmative action treatment when we announced to job-seekers that half of the positions were reserved for women. In the Affirmative Action condition, the time dedicated by women significantly increased and the motivation letters written by the female candidates showed a significant increase in the expression of positive emotions. The results indicate that affirmative action policies can have significant encouraging effects on both effort and appeal of job applications of women, thereby reducing the gender gap in these outcomes.

Suggested Citation

  • Banerjee, Ritwik & Ibanez, Marcela & Riener, Gerhard & Sahoo, Soham, 2021. "Affirmative action and application strategies: Evidence from field experiments in Columbia," DICE Discussion Papers 362, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  • Handle: RePEc:zbw:dicedp:362
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    Cited by:

    1. Weller, Jürgen, 2022. "Tendencias mundiales, pandemia de COVID-19 y desafíos de la inclusión laboral en América Latina y el Caribe," Documentos de Proyectos 48610, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    2. Mallory Avery & Andreas Leibbrandt & Joseph Vecci, 2023. "Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech," Monash Economics Working Papers 2023-09, Monash University, Department of Economics.
    3. Demid Getik & Marco Islam & Margaret Samahita, 2021. "The Inelastic Demand for Affirmative Action," Working Papers 202112, School of Economics, University College Dublin.
    4. José J. Domínguez & Natalia Montinari, 2021. "Gender Quotas and Task Assignment in Organizations," ThE Papers 21/13, Department of Economic Theory and Economic History of the University of Granada..
    5. Getik, Demid & Islam, Marco & Samahita, Margaret, 2021. "The Inelastic Demand for Affirmative Action," Working Papers 2021:7, Lund University, Department of Economics.
    6. Subedi, Mukti Nath & Rafiq, Shuddhasattwa & Ulker, Aydogan, 2022. "Effects of Affirmative Action on Educational and Labour Market Outcomes: Evidence from Nepal's Reservation Policy," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 443-463.

    More about this item

    Keywords

    Gender; Labor economics; Field experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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