Table 3

Results from the multiple regression models for the probability of physicians to receive non-pecuniary benefits, six countries

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

Covariate

Meals

Housing

Transport

Paid vacation

Health insurance

In-service training

At least one benefit

Three or more benefits

Worker's sex:

1.869***

0.898

1.167**

0.907**

-0.002

-0.205

0.227

1.283***

Woman (ref = man)

[0.550]

[0.550]

[0.464]

[0.414]

[0.420]

[0.529]

[0.511]

[0.454]

Worker's years of experience at facility

-0.005

0.017

0.013

0.004

-0.006

0.006

0.015

-0.004

[0.019]

[0.017]

[0.015]

[0.013]

[0.013]

[0.012]

[0.012]

[0.016]

Facility location:

-0.043

-0.022

-0.383*

-0.640***

0.689***

0.052

0.421**

-0.362*

Rural (ref = urban)

[0.279]

[0.260]

[0.200]

[0.176]

[0.149]

[0.132]

[0.165]

[0.211]

Facility type:

1.201***

1.234***

1.069***

0.809***

-0.075

0.141

0.336

1.203***

Hospital (ref = other)

[0.358]

[0.353]

[0.322]

[0.273]

[0.256]

[0.257]

[0.256]

[0.313]

Facility management:

1.466***

0.696***

0.157

0.084

-1.046***

-0.247

-1.218***

0.712***

Private (ref = public)

[0.262]

[0.263]

[0.240]

[0.198]

[0.187]

[0.200]

[0.184]

[0.219]

Interaction sex*experience:

-0.067

-0.013

-0.029

-0.031

-0.04

-0.009

-0.090***

0.007

Woman*Years

[0.047]

[0.036]

[0.033]

[0.030]

[0.029]

[0.035]

[0.033]

[0.033]

Interaction sex*facility type:

-1.543***

-0.937*

-1.003**

-0.715*

0.156

0.23

0.155

-1.385***

Woman*Hospital

[0.511]

[0.524]

[0.447]

[0.397]

[0.397]

[0.523]

[0.485]

[0.435]

Interaction sex*facility management:

-0.27

0.346

0.098

0.276

0.571

0.369

-0.332

Woman*Private

[0.471]

[0.475]

[0.443]

[0.374]

[0.348]

[0.355]

[0.444]

*P < 0.1 **P < 0.05 ***P < 0.01 ref = reference category

Note: Additional variables for workers' country of residence and occupational earnings were included in the model, with generally highly statistically significant differences observed (results not presented, due in part to differences in currency scales across countries).

Gupta and Alfano Human Resources for Health 2011 9:25   doi:10.1186/1478-4491-9-25