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Table 5 Multivariate probit model of the relevance of adjustment channels, average marginal effects (all channels; sample restricted to the Baltic countries and Poland)

From: How do firms adjust to rises in the minimum wage? Survey evidence from Central and Eastern Europe

 

(1)

(2)

(3)

(4)

(5)

(6)

Lay off

Hire less

Increase prices

Cut non-lab. costs

Increase wages

Increase prod.

Presence of MW employees at the firm

0.124***

0.175***

0.241***

0.248***

0.175***

0.222***

(0.013)

(0.014)

(0.017)

(0.017)

(0.019)

(0.018)

Foreign ownership, dummy

− 0.065***

− 0.091***

− 0.149***

− 0.153***

− 0.133***

− 0.126***

(0.019)

(0.023)

(0.026)

(0.026)

(0.026)

(0.027)

Presence of collective agreement

0.007

− 0.006

− 0.015

− 0.027

0.002

0.030

(0.022)

(0.027)

(0.034)

(0.034)

(0.035)

(0.036)

Demand level (base: strong decrease)

 - Moderate decrease

0.008

− 0.005

− 0.007

− 0.033

0.023

− 0.031

(0.021)

(0.027)

(0.036)

(0.035)

(0.037)

(0.038)

 - Unchanged

− 0.038*

− 0.017

0.004

− 0.047

0.008

− 0.044

(0.022)

(0.028)

(0.037)

(0.036)

(0.039)

(0.039)

 - Moderate increase

− 0.043**

− 0.036

− 0.010

− 0.061*

0.010

− 0.046

(0.021)

(0.027)

(0.035)

(0.035)

(0.037)

(0.038)

 - Strong increase

− 0.106***

− 0.054

− 0.016

− 0.082*

0.000

− 0.083*

(0.033)

(0.039)

(0.046)

(0.047)

(0.049)

(0.049)

Access to external finance (base: strong decrease)

 - Moderate decrease

− 0.005

0.010

0.083*

0.095**

0.039

0.092*

(0.027)

(0.036)

(0.049)

(0.048)

(0.049)

(0.053)

 - Unchanged

− 0.018

− 0.023

− 0.001

− 0.012

− 0.055

0.025

(0.024)

(0.030)

(0.042)

(0.041)

(0.042)

(0.045)

 - Moderate increase

− 0.009

− 0.011

0.009

− 0.003

− 0.036

0.073

(0.029)

(0.036)

(0.047)

(0.047)

(0.049)

(0.052)

 - Strong increase

0.001

0.023

− 0.022

− 0.119

− 0.092

0.010

(0.046)

(0.054)

(0.077)

(0.077)

(0.078)

(0.085)

Sectoral dummies (base: manufacturing)

 Electricity, gas, water

− 0.022

− 0.079

− 0.211***

− 0.200**

− 0.165*

− 0.221***

(0.044)

(0.062)

(0.079)

(0.082)

(0.087)

(0.077)

 Construction

0.010

0.012

− 0.033

− 0.031

− 0.026

− 0.023

(0.020)

(0.024)

(0.030)

(0.031)

(0.033)

(0.033)

 Trade

− 0.010

− 0.019

− 0.067***

− 0.056**

− 0.043

− 0.116***

(0.017)

(0.021)

(0.026)

(0.027)

(0.028)

(0.028)

 Business services

− 0.021

− 0.038*

− 0.075***

− 0.049*

− 0.038

− 0.102***

(0.017)

(0.021)

(0.025)

(0.026)

(0.027)

(0.027)

 Financial intermediation

0.015

− 0.062

− 0.211***

− 0.055

− 0.125**

− 0.129**

(0.043)

(0.046)

(0.064)

(0.057)

(0.062)

(0.060)

 Arts

 

− 0.022

− 0.136

− 0.176

 

0.118

 

(0.160)

(0.218)

(0.227)

 

(0.327)

Firm size dummies (base < 20 employees)

 20–49 employees

− 0.033**

− 0.045**

− 0.043*

− 0.043*

− 0.001

− 0.031

(0.016)

(0.019)

(0.023)

(0.024)

(0.025)

(0.025)

 50–199 employees

− 0.004

− 0.016

− 0.026

− 0.013

− 0.007

− 0.005

(0.015)

(0.019)

(0.025)

(0.025)

(0.026)

(0.027)

 200+ employees

− 0.041*

− 0.066**

− 0.034

− 0.016

0.053

− 0.007

(0.024)

(0.031)

(0.037)

(0.036)

(0.037)

(0.039)

Country dummies (base: Poland)

 Latvia

− 0.020

− 0.088***

− 0.022

− 0.066**

− 0.049*

− 0.093***

(0.016)

(0.022)

(0.027)

(0.028)

(0.028)

(0.030)

 Lithuania

− 0.113***

− 0.089***

− 0.120***

− 0.123***

− 0.129***

− 0.054**

(0.018)

(0.019)

(0.024)

(0.023)

(0.026)

(0.025)

 Estonia

− 0.078***

− 0.182***

− 0.077***

− 0.177***

− 0.170***

− 0.230***

(0.018)

(0.022)

(0.026)

(0.026)

(0.026)

(0.028)

 Observations

2083

2083

2083

2083

2083

2083

  1. Note: Standard errors in parentheses. *p < 0.1, **p < 0.05, ***p < 0.01
  2. Dependent variable—binary measure of relevance used for all countries (1—Relevant, 0—Not relevant)
  3. For a detailed description of the explanatory variable see Table 11 in the Appendix
  4. Source: WDN3 survey, authors’ estimation