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Table 3 Difference-in-differences estimates on training

From: Training and minimum wages: first evidence from the introduction of the minimum wage in Germany

 

(1)

(2)

(3)

(4)

Panel A: Dependent variable is the training incidence

 

DiD binary treatment

−0.003

   
 

(0.011)

   

DiD binary placebo

 

0.004

  
  

(0.009)

  

DiD intensive treatment

  

0.0001

 
   

(0.022)

 

DiD intensive placebo

   

−0.003

    

(0.021)

Panel B: Dependent variable is the training intensity (share of trained employees)

 

DiD binary treatment

−0.018**

   
 

(0.008)

   

DiD binary placebo

 

−0.005

  
  

(0.007)

  

DiD intensive treatment

  

−0.041***

 
   

(0.015)

 

DiD intensive placebo

   

−0.020

    

(0.014)

Observations

56,509

44,794

56,509

44,794

  1. Difference-in-differences estimates with firm- and time-specific fixed effects. Cluster robust standard errors in parentheses (clusters are on the level of establishments). Dependent variables are describes in the titles of Panels A and B, where “training incidence” is a binary variable that takes the value 1 when firms provide training and 0 otherwise, and “training intensity” is a variable capturing the fraction trained employees (in the respective year) as of all employees. Data source: IAB Establishment Panel 2011–2015, analysis sample
  2. *** p<0.01, ** p<0.05, and * p<0.10