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Table 5 Positive employer response probabilities for male applicants as a function job categories

From: The employability of ex-offenders: a field experiment in the Swedish labor market

  Model i Model ii Δ in marginal effects for an ex-offender
Marginal effect for an ex-offender Marginal effects for a non-offender
Ex-offender −0.102*** (0.016)   
Accounting clerk   Baseline category −0.136*** (0.030)
Auto mechanic   0.036 (0.093) −0.017 (0.047)
Cleaner   −0.096* (0.055) −0.082*** (0.031)
Enrolled nurse   0.024 (0.097) −0.078 (0.055)
Preschool teacher   0.124 (0.097) −0.126*** (0.019)
Restaurant worker   −0.013 (0.066) −0.073*** (0.021)
Salesperson   −0.003 (0.080) −0.059 (0.042)
Software developer   0.190 (0.119) −0.134*** (0.024)
Truck driver   −0.099* (0.051) 0.005 (0.040)
Observations 1098   1098
Pseudo R 2 0.086   0.116
  1. Notes: The table presents the marginal changes in the probability of receiving a positive response from an employer estimated using a probit regression model. Corresponding linear probability models and fixed-effects models generate similar results. The dependent variable is a positive response dummy. Also included in each regression are a dummy for fulltime position, a dummy for tenure, county dummies, season dummies, an application template dummy, and a dummy for order of application. Descriptions of all variables are provided in Table 2. Reported standard errors (in parentheses) are corrected for clustering of the observations at the employer level
  2. ***p < 0.01, *p < 0.10