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Table 9 Estimation of physical working conditions—strain from the working environment

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

  Binary logistic regression Binary logistic regression Binary logistic regression Binary logistic regression
Noise (AME) Bright, poor, or faint light (AME) Cold, heat, wetness, dampness, or draughts (AME) Can influence the work tasks that must be carried out (AME)
Critical job (1 = yes) 0.045*** (0.010) 0.027*** (0.007) 0.043*** (0.009) − 0.013 (0.011)
Sociodemographic characteristics x x x x
Job characteristics x x x x
Structural characteristics x x x x
Number of observations 7,261 7,268 7,252 7,246
Pseudo R2 0.187 0.097 0.217 0.047
  1. The table shows the estimates obtained from the regression model indicated in Eq. (2). The estimations also include the sociodemographic, job-related and structural characteristics (without occupational segments) presented in model 3 of Table 3 as control variables. 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