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Table 3 Marginal effects by selected subgroups

From: Labour force participation elasticities and the move away from a flat tax: the case of Slovakia

 

dy/dx

Std err

 

dy/dx

Std err

Females, age 25–50

  

Males, age 25–50

  

 Gains to work (logGTW)

0.109

0.010

 Gains to work (logGTW)

0.056

0.006

 Non-labour income (logNY)

−0.036

0.003

 Non-labour income (logNY)

−0.025

0.002

Single females, age 25–50

  

Single males, age 25–50

  

 Gains to work (logGTW)

0.123

0.012

 Gains to work (logGTW)

0.085

0.010

 Non-labour income (logNY)

−0.041

0.004

 Non-labour income (logNY)

−0.038

0.004

Females w. child <3 years, age 25–50

  

Males w. child <3 years, age 25–50

  

 Gains to work (logGTW)

0.236

0.023

 Gains to work (logGTW)

0.021

0.005

 Non-labour income (logNY)

−0.078

0.007

 Non-labour income (logNY)

−0.010

0.002

Females, age 50+

  

Males, age 50+

  

 Gains to work (logGTW)

0.108

0.010

 Gains to work (logGTW)

0.080

0.009

 Non-labour income (logNY)

−0.036

0.003

 Non-labour income (logNY)

−0.035

0.003

  1. Note: Probit estimates are computed using full sample, and average marginal effects are evaluated at subgroups. Bootstrapped standard errors, 5000 replications