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Table 2 Regression results

From: Differences in wage rates for males and females in the health sector: a consideration of unpaid overtime to decompose the gender wage gap

 

Pooled (n=10,066)

Male (n= 3,451)

Female (n= 6,615)

 

B

SE

95% CI

B

SE

95% CI

B

SE

95% CI

(Constant)

3.043***

0.013

3.017

3.069

3.096***

0.025

3.044

3.148

3.082***

0.015

3.053

3.112

Married: Sepdivwida

−0.021*

0.009

−0.039

−0.003

−0.055**

0.019

−0.094

−0.016

−0.007

0.010

−0.027

0.012

 NvrMara

0.005

0.009

−0.022

0.013

−0.037*

0.017

−0.073

−0.002

0.017

0.010

−0.002

0.037

Education: yr11/lowerb

−0.288***

0.011

−0.311

−0.265

−0.304***

0.021

−0.347

−0.261

−0.275***

0.013

−0.302

−0.248

 Yr 12b

−0.176***

0.013

−0.202

−0.150

−0.194***

0.024

−0.244

−0.144

−0.162***

0.015

−0.191

−0.132

 Tery edb

−0.166***

0.009

−0.184

−0.148

−0.173***

0.016

−0.205

−0.140

−0.158***

0.011

−0.179

−0.136

 Post gradb

0.106***

0.008

0.090

0.123

0.168***

0.015

0.138

0.197

0.067***

0.010

0.048

0.087

Occupation: Managerc

0.077***

0.010

0.057

0.097

0.055**

0.017

0.021

0.089

0.088***

0.012

0.064

0.112

 Clericalservicec

−0.166***

0.009

−0.183

−0.149

−0.203***

0.017

−0.238

−0.168

−0.163***

0.010

−0.183

−0.144

 Trade/labour c

−0.343***

0.016

−0.376

−0.310

−0.304***

0.021

−0.347

−0.261

−0.381***

0.042

−0.464

−0.297

Number of children

0.069***

0.003

0.063

0.075

0.070***

0.005

0.060

0.080

0.068***

0.004

0.061

0.076

Govt: locald

0.116***

0.009

0.098

0.134

0.065***

0.013

0.039

0.091

0.172***

0.012

0.147

0.196

 Privated

−0.030

0.017

−0.064

0.003

0.028

0.033

−0.039

0.095

−0.060**

0.019

−0.098

−0.022

Number supervised

0.002***

0.000

0.001

0.002

0.002***

0.000

0.001

0.007

0.002***

0.000

0.001

0.002

PE

0.005***

0.001

0.002

0.007

0.014***

0.002

0.010

0.019

0.001

0.001

−0.002

0.004

PE 2

0.000**

0.000

−0.000

−0.000

−0.000***

0.000

−0.000

−0.000

−0.000

0.000

−0.000

0.000

Unpaid overtime

0.007***

0.000

0.007

0.008

0.008***

0.001

0.007

0.009

0.007***

0.000

0.006

0.008

Gender

0.154***

0.007

0.141

0.167

        

Adj R 2

0.428

   

0.463

   

0.358

   

Gender e

0.163***

0.007

0.150

0.177

        

Adj R 2

0.407

           
  1. Impact of unpaid overtime on income, pooled sample and stratified by gender. Dependent variable is log of hourly wage. CI, confidence interval; PE, experience proxy; SE, standard error. aReferent is married. bReferent is degree graduate. cReferent is professional/technical. dReferent is state. eModel without unpaid overtime variable. ***P ≤0.001, **P ≤0.01, *P ≤0.05.
  2. Source: Work Outcomes Research Cost-benefit Survey 2005/06.