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Table 2 Short-run estimates of log real hourly wage equations

From: Back to work: the effect of a long-term career interruption on subsequent wages in Switzerland

  Pooled OLS Fixed effects
First lag long-term non-employed − 0.181a (0.027) − 0.072a (0.013)
First lag final period of education 0.031a (0.010) 0.031a (0.006)
First lag further education 0.055a (0.005) 0.014a (0.003)
Part-time − 0.116a (0.007) 0.040a (0.005)
Fixed-term contract − 0.253a (0.016) − 0.188a (0.006)
Type of job (base is high skilled white collar)
 Low-skilled white collar − 0.253a (0.008) − 0.055a (0.007)
 High-skilled blue collar − 0.245a (0.011) − 0.056a (0.012)
 Low-skilled blue collar − 0.385a (0.014) − 0.037a (0.013)
Firm size (base is 10–49 employees)
 1–9 employees − 0.064a (0.010) − 0.017a (0.006)
 50–99 employees 0.026a (0.009) 0.012b (0.005)
 100–499 employees 0.042a (0.009) 0.014a (0.005)
 ≥ 500 employees 0.112a (0.009) 0.016a (0.005)
Observations with long-term career interruption indicated in previous wave 338 338
Total observations 31,948 31,948
  1. Source: Swiss Household Panel (SHP), own calculations
  2. The following controls are not shown: age, age2, married, children, sector and wave dummies. Standard errors are in parentheses. They are clustered at the individual level for the first column (pooled OLS regression), for the second column (fixed effects regression) standard s.e. are reported. a significant at the 1% level, b significant at the 5% level