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Table 3 Determinants of working in a critical job (logistic regressions)

From: COVID-19 and the labour market: What are the working conditions in critical jobs?

  (1) (2) (3)
Critical job (AME) Critical job (AME) Critical job (AME)
Gender (1 = female) 0.321*** (0.048) 0.142* (0.057) 0.080 (0.072)
Age (in years) − 0.006 (0.020) − 0.009 (0.021) − 0.006 (0.025)
Age squared (in years) 0.000 (0.000) 0.000 (0.000) − 0.000 (0.000)
Place of residence (1 = East Germany) 0.067** (0.026) 0.074** (0.028) 0.079* (0.032)
Highest professional degree (Ref.: University degree)    
 Vocational degree 0.202*** (0.058) − 0.219** (0.083) − 0.180 (0.100)
 Technical school, master 0.172* (0.075) − 0.058 (0.091) − 0.020 (0.111)
 Polytechnic degree 0.185* (0.081) 0.011 (0.087) 0.185 (0.098)
 Another degree 0.420 (0.219) 0.294 (0.236) 0.402 (0.300)
 No professional degree 0.209 (0.166) − 0.392* (0.187) − 0.551* (0.243)
 Unknown 0.285 (0.460) − 0.012 (0.504) − 0.158 (0.509)
Marital status (Ref.: single)    
 Married − 0.061 (0.068) − 0.093 (0.070) 0.402 (0.300)
 Civil union 0.067 (0.241) 0.098 (0.253) − 0.551* (0.243)
 Divorced/widowed 0.077 (0.087) 0.092 (0.089) − 0.158 (0.509)
 Unknown 1.637 (1.046) 1.805 (1.037) 0.402 (0.300)
Children in the household (Ref: no children in the household)    
 Child younger than 7 years in the household 0.019 (0.090) 0.006 (0.094) − 0.055 (0.111)
 Child aged 7 to 12 years in the household 0.178* (0.087) 0.147 (0.090) 0.085 (0.105)
 Child aged 13 to 18 years in the household 0.161 (0.084) 0.140 (0.086) 0.140 (0.103)
 Tenure (in years)   0.007** (0.002) 0.009** (0.003)
Form of employment (Ref.: full-time)    
 Part-time   0.255*** (0.066) 0.107 (0.077)
 Marginal employment   − 0.264 (0.246) − 0.716* (0.324)
 Unknown   − 1.402* (0.615) − 2.200** (0.697)
Type of contract (1 = permanent contract)    
 Fixed-term contract   − 0.077 (0.107) − 0.203 (0.127)
 Unknown   1.205*** (0.094) 1.063*** (0.110)
Complexity of job (Ref.: unskilled or semi-skilled activity)    
 Specialist activity   − 0.853*** (0.148) − 0.142 (0.189)
 Complex specialist activity   − 1.295*** (0.156) − 0.866*** (0.199)
 Highly complex activity   − 1.678*** (0.162) − 1.456*** (0.206)
Additional jobs (Ref.: no additional job)    
 One additional job   − 0.085 (0.098) − 0.255* (0.120)
 More than one additional job   − 0.447 (0.246) − 0.417 (0.312)
Size of company (Ref.: more than 500 employees)    
 Fewer than 9 employees    − 0.089 (0.130)
 10–49 employees    0.204* (0.092)
 50–499 employees    0.048 (0.076)
 Unknown    0.107 (0.276)
Work council (Ref.: existent)    
 Nonexistent    − 0.428*** (0.080)
 Unknown    0.067 (0.196)
Occupational segments (Ref.: manufacturing)    
 Agriculture, forestry and gardening    0.670*(0.301)
 Manufacturing engineering    1.219*** (0.177)
 Construction    1.295*** (0.191)
 Food and hospitality    1.803*** (0.227)
 Medical and nonmedical health care    4.273*** (0.218)
 Social and cultural services    2.398*** (0.184)
 Retail and trade    0.700*** (0.191)
 Corporate management and organisation    − 0.580** (0.206)
 Business services    1.775*** (0.176)
 IT and natural science services    3.000*** (0.194)
 Security    2.924*** (0.273)
 Transport and logistics    5.324*** (0.351)
 Cleaning    5.462*** (1.053)
Number of observations 7,268 7,268 7,268
Pseudo R2   0.048 0.278
  1. The table shows the estimates obtained from the regression model indicated in Eq. (1). AMEs are the average marginal effects. Cluster-robust standard errors for 144 occupational groups in parentheses; *p < 0.05, **p < 0.01, ***p < 0.001
  2. Source: Working Time Survey 2019; own calculations