Search Papers

Amanda Agan, Sonja Starr

Cited by*: 22 Downloads*: 27

"Ban-the-Box" (BTB) policies restrict employers from asking about applicants' criminal histories on job applications and are often presented as a means of reducing unemployment among black men, who disproportionately have criminal records. However, withholding information about criminal records could risk encouraging statistical discrimination: employers may make assumptions about criminality based on the applicant's race (or other observable characteristics). To investigate BTB's effects, we sent approximately 15,000 fictitious online job applications to employers in New Jersey and New York City both before and after the adoption of BTB policies. These applications varied the race and felony conviction status of the applicants. We confirm that criminal records are a major barrier to employment: employers that ask about criminal records were 63% more likely to call back an applicant if he has no record. However, our results support the concern that BTB policies encourage statistical discrimination on the basis of race: we find that the race gap in callbacks grows dramatically at the BTB-affected companies after the policy goes into effect. Before BTB, white applicants to employers with the box received 7% more callbacks than similar black applicants, but BTB increases this gap to 45%.

Amanda Agan, Bo Cowgill, Laura Gee

Cited by*: None Downloads*: None

Correspondence audit studies have sent almost one-hundred-thousand resumes without informing subjects they are in a study - increasing realism, but without being fully transparent. We study the potential trade-offs of this lack of transparency by running a hiring field experiment with recruiters in a natural setting. One group of recruiters is told they are screening for an employer, and another is told they are part of an academic study. Job applicants' gender is randomly assigned. When subjects are told they are in an experiment, callback rates and willingness-to-pay for male candidates decline relative to female candidates (with no detectable change for female candidates). This suggests that telling subjects they are in an experiment would underestimate gender inequality.