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Table 4 Conditional difference-in-differences estimates on the training intensity

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

 

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

Dependent variable: training intensity (share of trained employees)

 

DiD binary treatment

−0.018***

−0.018**

−0.018**

−0.017**

    
 

(0.008)

(0.008)

(0.008)

(0.008)

    

DiD intensive treatment

    

−0.043***

−0.044***

−0.043***

−0.042***

     

(0.015)

(0.015)

(0.015)

(0.015)

Share high skilled

0.087***

 

0.086***

0.085***

0.087***

 

0.086***

0.086***

 

(0.021)

 

(0.021)

(0.021)

(0.021)

 

(0.021)

(0.021)

Share medium skilled

0.050***

 

0.048***

0.048***

0.050***

 

0.048***

0.047***

 

(0.010)

 

(0.010)

(0.010)

(0.010)

 

(0.010)

(0.010)

Hiring rate

 

−0.028

−0.013

−0.016

 

−0.029

−0.013

−0.016

  

(0.018)

(0.019)

(0.019)

 

(0.018)

(0.019)

(0.019)

Skilled hiring rate

 

0.050**

0.023

0.021

 

0.050**

0.024

0.021

  

(0.025)

(0.025)

(0.025)

 

(0.025)

(0.025)

(0.025)

Collective bargaining

   

0.012**

   

0.012**

    

(0.006)

   

(0.006)

Works council

   

0.009

   

0.009

    

(0.011)

   

(0.011)

Lagged employment

   

−0.012

   

−0.012

(logarithmic)

   

(0.008)

   

(0.008)

Part-time share

   

−0.021**

   

−0.021**

    

(0.011)

   

(0.011)

Technical level

   

0.009***

   

0.009***

of capital

   

(0.002)

   

(0.002)

High competition

   

−0.010*

   

−0.010*

    

(0.005)

   

(0.005)

Observations

55,612

55,612

55,612

55,612

55,612

55,612

55,612

55,612

  1. Additional controls as indicated by the respective coefficients. All other notes as in Table 3. Data source: IAB Establishment Panel 2011-2015, analysis sample
  2. *** p<0.01, ** p<0.05, and * p<0.10