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How Accurately are Household Surveys Measuring the Size and Inequalities for the LGBT Population in Bogota, Colombia? Evidence from a List Experiment

Author

Listed:
  • Ham, Andrés
  • Guarin, Angela
  • Ruiz, Juanita

Abstract

This paper studies whether household surveys precisely identify the LGBT population and are suitable to measure labor market discrimination in Colombia. We first quantify the size of the LGBT population and estimate labor market inequalities from these data, highlighting potential pitfalls from using this approach. We then present findings from a list experiment in Bogotá, Colombia. Results show that household surveys underestimate the size of the LGBT population and may yield biased estimates of labor market inequalities. While survey estimates range between 1-4%, we find that LGBT people constitutes around 12-22% of the total population. We find heterogeneous reporting by sex, age groups, educational attainment, and marital status. Our findings suggest that while current measurement practices are a step forward for the LGBT populations statistical visibility, additional steps are required before household surveys may be used to consistently estimate discrimination and guide policy responses to protect this population.

Suggested Citation

  • Ham, Andrés & Guarin, Angela & Ruiz, Juanita, 2023. "How Accurately are Household Surveys Measuring the Size and Inequalities for the LGBT Population in Bogota, Colombia? Evidence from a List Experiment," IDB Publications (Working Papers) 12677, Inter-American Development Bank.
    • Handle: RePEc:idb:brikps:12677
    DOI: http://dx.doi.org/10.18235/0004721
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    References listed on IDEAS

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    1. Chuang, Erica & Dupas, Pascaline & Huillery, Elise & Seban, Juliette, 2021. "Sex, lies, and measurement: Consistency tests for indirect response survey methods," Journal of Development Economics, Elsevier, vol. 148(C).
    2. Agüero, Jorge M. & Frisancho, Verónica, 2017. "Misreporting in Sensitive Health Behaviors and Its Impact on Treatment Effects: An Application to Intimate Partner Violence," IDB Publications (Working Papers) 8696, Inter-American Development Bank.
    3. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
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    More about this item

    Keywords

    population; measurement; discrimination; household surveys; list experiment; LGBT population;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D10 - Microeconomics - - Household Behavior - - - General
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General

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