Lieselotte Blommaert
Main research interests: inequalities & processes of inclusion/exclusion in the labour market, with a focus on ethnic differences, gender differences and/or differences across socio-economic groups. Interested in understanding the prevalence and sources of such differences, focusing in particular on the role of attitudes or stereotypes, discrimination, and the cultural and institutional context (e.g. at the workplace / country level).
Experienced in: quantitative research methods, collecting data (surveys, interviews, field experiments, vignettes, meta-analysis, IATs), writing (scientific & popular contributions), teaching
Address: Nijmegen, Provincie Gelderland, Netherlands
Experienced in: quantitative research methods, collecting data (surveys, interviews, field experiments, vignettes, meta-analysis, IATs), writing (scientific & popular contributions), teaching
Address: Nijmegen, Provincie Gelderland, Netherlands
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Papers by Lieselotte Blommaert
databases. Two phases of recruitment procedures are examined: employers’ decisions to (1) view applicants’ complete résumés after seeing short profiles and (2)
contact applicants. The experiment covers both male and female applicants, three occupational levels, five sectors, and ten geographical regions, and consists of two waves. Results provide strong evidence of discrimination in the first phase (views). Résumés of Arabic-named applicants were requested less often, regardless of their education, gender, age, region, or sector, and for both websites and waves. Controlling for the number of times candidates’ full résumés were viewed, there is less evidence of discrimination in the second phase (reactions). Yet, after two phases, the cumulative ethnic difference is considerable: Dutch-named applicants are 60 percent more
likely to receive a positive reaction than Arabic-named applicants. We conclude that ethnic disparities in outcomes of recruitment procedures are substantial and arise already in the very first phase of the selection process. Hence, employers often do not even get to see Arabic-named applicants’ résumés. Finally, discrimination is stronger in wave two, when the total number of views of résumés was lower, indicating lower labor demand.
experiment approach, posting fictitious résumés (n = 636) on two online résumé databases. Two phases of recruitment procedures are examined: employers’ decisions
to (1) view applicants’ complete résumés after seeing short profiles and (2) contact applicants. The experiment covers both male and female applicants, three occupational levels, five sectors, and ten geographical regions, and consists of two waves. Results provide strong evidence of discrimination in the first phase (views). Résumés of Arabic-named applicants were requested less often, regardless of their education, gender, age, region, or sector, and for both websites and waves. Controlling for the number of times candidates’ full résumés were viewed, there is less evidence of discrimination in the second phase (reactions). Yet, after two phases, the cumulative ethnic difference is considerable: Dutch-named applicants are 60 percent more likely to receive a positive reaction than Arabic-named applicants. We conclude that ethnic disparities in outcomes of recruitment procedures are substantial and arise already in the very first phase of the selection process. Hence, employers often do not even get to see Arabic-named applicants’ résumés. Finally, discrimination is stronger in wave two, when the total number of views of résumés was lower, indicating lower
labor demand.
Reports by Lieselotte Blommaert
databases. Two phases of recruitment procedures are examined: employers’ decisions to (1) view applicants’ complete résumés after seeing short profiles and (2)
contact applicants. The experiment covers both male and female applicants, three occupational levels, five sectors, and ten geographical regions, and consists of two waves. Results provide strong evidence of discrimination in the first phase (views). Résumés of Arabic-named applicants were requested less often, regardless of their education, gender, age, region, or sector, and for both websites and waves. Controlling for the number of times candidates’ full résumés were viewed, there is less evidence of discrimination in the second phase (reactions). Yet, after two phases, the cumulative ethnic difference is considerable: Dutch-named applicants are 60 percent more
likely to receive a positive reaction than Arabic-named applicants. We conclude that ethnic disparities in outcomes of recruitment procedures are substantial and arise already in the very first phase of the selection process. Hence, employers often do not even get to see Arabic-named applicants’ résumés. Finally, discrimination is stronger in wave two, when the total number of views of résumés was lower, indicating lower labor demand.
experiment approach, posting fictitious résumés (n = 636) on two online résumé databases. Two phases of recruitment procedures are examined: employers’ decisions
to (1) view applicants’ complete résumés after seeing short profiles and (2) contact applicants. The experiment covers both male and female applicants, three occupational levels, five sectors, and ten geographical regions, and consists of two waves. Results provide strong evidence of discrimination in the first phase (views). Résumés of Arabic-named applicants were requested less often, regardless of their education, gender, age, region, or sector, and for both websites and waves. Controlling for the number of times candidates’ full résumés were viewed, there is less evidence of discrimination in the second phase (reactions). Yet, after two phases, the cumulative ethnic difference is considerable: Dutch-named applicants are 60 percent more likely to receive a positive reaction than Arabic-named applicants. We conclude that ethnic disparities in outcomes of recruitment procedures are substantial and arise already in the very first phase of the selection process. Hence, employers often do not even get to see Arabic-named applicants’ résumés. Finally, discrimination is stronger in wave two, when the total number of views of résumés was lower, indicating lower
labor demand.