Skip to main content

Table 7 Factors influencing the difference in positive response probabilities between ex-offenders and non-offenders

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

Interaction variable Model v Model vi Model vii Model viii
Male applicants Female applicants Male applicants Female applicants
Female job −0.071** (0.030) −0.089** (0.035)   
Female HRM    −0.060 (0.038) −0.085** (0.038)
High-skill job −0.093*** (0.027) −0.119*** (0.030) −0.081* (0.040) −0.131*** (0.036)
Urban −0.047 (0.033) −0.023 (0.036) −0.054 (0.041) −0.006 (0.045)
Observations 1096 974 808 762
Pseudo R 2 0.100 0.126 0.085 0.143
  1. Notes: This table reports the interaction effects between the ex-offender dummy and different job characteristics dummies for male and female applicants. The values represent differences in marginal effects between an ex-offender and a non-offender 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 the main effects of the interacted variables, a dummy for full-time positions, a dummy for tenure, county dummies, season dummies, an application template dummy, and 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 < 0.05, *p < 0.10