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Table 9 Robustness check VIII: being absent (dummy 0/1)

From: Absenteeism, unemployment and employment protection legislation: evidence from Italy

  (1) (2) (3)
Unemployment rate -0.003*** -0.002*** -0.002***
  (0.000) (0.000) (0.000)
Small firm (≤15) -0.056*** -0.048*** -0.050***
  (0.002) (0.003) (0.003)
Small firm* Unemployment rate   -0.001*** -0.001***
   (0.000) (0.000)
Lag ln(Wage)    -0.034***
    (0.005)
Female 0.014*** 0.014*** 0.009**
  (0.005) (0.005) (0.005)
Age -0.005*** -0.005*** -0.006***
  (0.001) (0.001) (0.001)
Age squared 0.000*** 0.000*** 0.000***
  (0.000) (0.000) (0.000)
Blue-Collar 0.062*** 0.062*** 0.058***
  (0.006) (0.006) (0.005)
Tenure 0.028*** 0.028*** 0.026***
  (0.001) (0.001) (0.001)
Tenure squared -0.002*** -0.002*** -0.002***
  (0.000) (0.000) (0.000)
Actual experience 0.003*** 0.003*** 0.003***
  (0.000) (0.000) (0.000)
Constant 0.218*** 0.215*** 0.317***
  (0.018) (0.018) (0.028)
Observations 574,074 574,074 483,532
  1. Notes: WHIP dataset. Dependent variable is the dummy for being absent from work. OLS estimates are reported. Unemployment at provincial level. Further controls are the same used in Table 2. Standard errors are allowed for within provincial correlation. The symbols ***, **, * indicate that coefficients are statistically significant, respectively, at the 1, 5, and 10 percent level.