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Gender Discrimination in Hiring : Evidence from an Audit Experiment in Uzbekistan (Inglés)

This paper studies gender discrimination in hiring through an experiment that randomly assigned fictitious resumes to job advertisements in Uzbekistan. The experiment focused on positions commonly advertised in the local context, such as accountants, office managers, information technology specialists, welders, call center operators, and drivers in the capital city. With the single exception of the applicant’s gender (signaled by the person’s name), the resumes were identical within each job category. The study finds strong evidence of prevalent and economically significant gender discrimination in response rates. Despite identical qualifications, we find that in female-dominated professions, women were 185 percent more likely to get a callback than men, and in male-dominated professions, men were 79 percent more likely to get a callback than women. The findings suggest strong gender discrimination in hiring practices in Uzbekistan.

Información

  • Autor

    Muradova,Sevilya, Seitz,William Hutchins

  • Fecha del documento

    2021/09/24

  • Tipo de documento

    Documento de trabajo sobre investigaciones relativas a políticas

  • Número del informe

    WPS9784

  • Volumen

    1

  • Total Volume(s)

    1

  • País

    Uzbekistán,

  • Región

    Europa y Asia central,

  • Fecha de divulgación

    2021/09/24

  • Disclosure Status

    Disclosed

  • Nom. del doc.

    Gender Discrimination in Hiring : Evidence from an Audit Experiment in Uzbekistan

  • Palabras clave

    Poverty and Equity; Occupation; gender discrimination; Labor Market; Life in Transition Survey; field experiment; awareness-raising campaigns; female labor force participation; Global Gender; Women in Corporate Leadership; human resource management; former soviet union; call center; gender wage gap; chamber of parliament; country gender assessment; form of discrimination; opportunity for woman; jobs in education; differences in treatment; official unemployment rate; linear probability model; probability of occurrence; normal distribution function; number of women; linear regression model; productive labor force; grounds of gender; participation of woman; labor market opportunities; care of child; gender equality law; achieving gender equality; labor market participation; simple regression framework; distribution of household; differences in results; study on gender; high fertility rate; labor market condition; labor market discrimination; global labor market; experimental design; gender stereotyping; response rate; labour market; hiring practice; comparative economics; gender difference; Job Portal; ethnic discrimination; male applicants; marginal effect; discrete change; gender segregation; observational data; marital status; gender inequalities; Gender Inequality; recent years; statistical theory; labor code; employer having; gender diversity; occupational segregation; racial discrimination; probit regression; discriminatory practice; sex segregation; job applicants; consistent estimate; gender preference; Employment Policies; employment policy; sex discrimination; equal right; sexual discrimination; social psychology; gender stereotype; labour economics; social work; explanatory variable; standard for method; gender bias; gender statistic; Research Support; phone number; state committee; standard approach; family structure; inferior pay; job market; gender impact; college graduate; large families; formal employment; selection model; female employment; economic reform; policy priority; linear function; age discrimination; experimental data; official statistic; working woman; social security; unlawful discrimination; supply side; development policy; open access; software engineer; regulatory environment; differential treatment; social group; Exchange Rates; unequal treatment; imperfect information; several decades; poor household; working experience; private company; job experience; geographic heterogeneity; target company; character trait; in poverty; average age; local partner; selection criterion; government job; primary data; skill job; law index; government's goals; Gender Gap; enforcement mechanism; national strategy; Social Sciences; genetic information; national origin; family life; traditional family; sexual orientation; gender identity; feminist economics; administrative liability; industrial relation; residence permit; working condition; gender characteristic; employment discrimination; index components; Reproductive Health; labor economics; political participation; female candidate; Job Matching; Financial Sector; empirical findings; outbreak period; both sexes; human capital; point estimate; aggregate output; business ethic; legal reform; meta analysis; combat gender; passport number; employment status; national employment; women parliamentarian; firm performance; traditional gender; potential applicant; automotive repair; qualitative assessment; employment practice; masculine behavior; young people; employment prospect; career development; Equal Opportunity

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