RESEARCH REPORT DO LARGE EMPLOYERS TREAT RACIAL MINORITIES MORE FAIRLY? A NEW ANALYSIS OF CANADIAN FIELD EXPERIMENT DATA RUPA BANERJEE Ryerson University, Faculty of Management JEFFREY G. REITZ University of Toronto, R.F. Harney Program, Munk School of Global Affairs PHIL OREOPOULOS University of Toronto, Economics January 25, 2017 ___________________________________________________________________________ This research was supported with funds from the R.F. Harney Professorship and Program in Ethnic, Immigration and Pluralism Studies, Munk School of Global Affairs, University of Toronto (http://munkschool.utoronto.ca/ethnicstudies/). Original data collection was carried out with support from Metropolis British Columbia. The authors are grateful for research assistance provided by Noga Keidar and Tamar Becker, and for helpful comments from Heather Zhang. Contact the first-named author at:
[email protected]. DO LARGE EMPLOYERS TREAT RACIAL MINORITIES MORE FAIRLY? A NEW ANALYSIS OF CANADIAN FIELD EXPERIMENT DATA RUPA BANERJEE JEFFREY G. REITZ PHIL OREOPOULOS ABSTRACT: Analysis of amended data from a large-scale Canadian employment audit study (Oreopoulos 2011) shows that large employers with over 500 employees discriminate against applicants with Asian (Chinese, Indian or Pakistani) names in the decision to call for an interview, about half as often as smaller employers. The audit involved submission of over 13,000 computer-generated resumes to a sample of 3,225 jobs offered online in Toronto and Montreal in 2008 and 2009 for which university-trained applicants were requested by email submission. An organization-size difference in employer response to Asian names on the resume exists when the Asian-named applicant has all Canadian qualifications (20% disadvantage for large employers, almost 40% disadvantage for small employers) and when they have some or all foreign qualifications (35% disadvantage for large employers, over 60% disadvantage for small employers).