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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