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Do Inclusive Education Policies Improve Employment Opportunities? Evidence from a Field Experiment

Author

Listed:
  • Jorge M. Agüero

    (University of Connecticut)

  • Francisco B. Galarza

    (Universidad del Pacífico)

  • Gustavo Yamada

    (Universidad del Pacífico)

Abstract

In labor markets where disadvantaged students are discriminated against, merit-based college scholarships targeting these students could convey two opposing signals to employers. There is a positive signal reflecting the candidate’s cognitive ability (talented in high-school and able to maintain a high GPA in college) as well as her soft skills (overcoming poverty). There is also a possible negative signal as the targeting of the scholarship indicates that the beneficiary comes from a disadvantaged household. We conduct a correspondence study to analyze the labor market impact of an inclusive education program. Beca 18 provides merit-based scholarships to talented poor students admitted to 3-year and 5-year colleges in Peru. We find that the positive signal dominates. Including information of being a scholarship recipient increases the likelihood of getting a callback for a job interview by 20%. However, the effect is much smaller in jobs and careers where the poor are under-represented, suggesting that the negative signal of the scholarship is not zero.

Suggested Citation

  • Jorge M. Agüero & Francisco B. Galarza & Gustavo Yamada, 2020. "Do Inclusive Education Policies Improve Employment Opportunities? Evidence from a Field Experiment," Working Papers 177, Peruvian Economic Association.
  • Handle: RePEc:apc:wpaper:177
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    Cited by:

    1. Jorge M. Agüero & Francisco Galarza & Gustavo Yamada, 2023. "(Incorrect) Perceived Returns and Strategic Behavior among Talented Low-Income College Graduates," AEA Papers and Proceedings, American Economic Association, vol. 113, pages 423-426, May.

    More about this item

    Keywords

    Employment; inclusive education; correspondence study; discrimination.;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J7 - Labor and Demographic Economics - - Labor Discrimination
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

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