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Table 1 Estimates of health production functions for men and women in Polish regions (1999–2013)

From: Gender bias and sex-based differences in health care efficiency in Polish regions

 

Dependent variable: life expectancy at ages 0, 15, 30, 45, 60, 65

 

Females

Males

Independent variables

F_0

F_15

F_30

F_45

F_60

F_65

M_0

M_15

M_30

M_45

M_60

M_65

Constant

3.6366c

(0.0719)

3.3800c

(0.0746)

2.9284c

(0.0946)

2.3200c

(0.1263)

1.5536c

(0.1918)

1.1596c

(0.2368)

3.1964c

(0.0896)

2.8291c

(0.1084)

2.1739c

(0.1398)

1.4776c

(0.1740)

−0.0226

(0.2616)

−0.7311b

(0.3104)

Doctor density

0.0034

(0.0029)

0.0065b

(0.0030)

0.0064a

(0.0039)

0.0117b

(0.0052)

0.0212c

(0.0077)

0.0249c

(0.0095)

0.0066

(0.0041)

0.0121b

(0.0049)

0.0105

(0.0064)

0.0175b

(0.0082)

0.0254b

(0.0108)

0.0345b

(0.0128)

Education

0.0113c

(0.0019)

0.0114c

(0.0025)

0.0151c

(0.0025)

0.0218c

(0.0034)

0.0406c

(0.0051)

0.0566c

(0.0063)

0.0071b

(0.0029)

0.0071b

(0.0035)

0.0092b

(0.0046)

0.0177c

(0.0059)

0.0351c

(0.0078)

0.0411c

(0.0092)

Income

0.0103c

(0.0038)

0.0134c

(0.0039)

0.0164c

(0.0050)

0.0176c

(0.0066)

0.0072

(0.0100)

0.0094

(0.0122)

0.0446c

(0.0051)

0.0531c

(0.0061)

0.0645c

(0.0080)

0.0778c

(0.0101)

0.0287b

(0.0138)

0.0227

(0.0164)

Services employment

0.0120b

(0.0052)

0.0129b

(0.0030)

0.0157b

(0.0070)

0.0186b

(0.0093)

0.0228

(0.0140)

0.0228

(0.0171)

0.0105a

(0.0062)

0.0121

(0.0074)

0.0196b

(0.0098)

0.0162

(0.0125)

0.0011

(0.0165)

0.0073

(0.0194)

Housing conditions

0.1560c

(0.0198)

0.1637c

(0.0206)

0.2038c

(0.0261)

0.2620c

(0.0348)

0.3390c

(0.0529)

0.3776c

(0.0653)

0.1881c

(0.0249)

0.2078c

(0.0302)

0.2766c

(0.0388)

0.3259c

(0.0483)

0.6222c

(0.1428)

0.7427c

(0.0869)

Pollution

−0.0013

(0.0008)

−0.0017b

(0.0008)

−0.0023b

(0.0011)

−0.0028a

(0.0014)

−0.0043a

(0.0022)

−0.0057b

(0.0027)

−0.0020a

(0.0011)

−0.0024a

(0.0013)

−0.0034b

(0.0017)

−0.0054b

(0.0021)

−0.0120c

(0.0031)

−0.0124c

(0.0037)

Alcohol and tobacco

−0.0081c

(0.0029)

−0.0086c

(0.0031)

−0.0106c

(0.0039)

−0.0136c

(0.0052)

−0.0165b

(0.0077)

−0.0248c

(0.0095)

−0.0141c

(0.0041)

−0.0137c

(0.0049)

−0.0133b

(0.0064)

−0.0191b

(0.0082)

−0.0198a

(0.0108)

−0.0184

(0.0127)

Physical activity

0.0041c

(0.0015)

0.0058c

(0.0016)

0.0070c

(0.0020)

0.0096c

(0.0027)

0.0136c

(0.0040)

0.0137c

(0.0049)

0.0005

(0.0025)

−0.0005

(0.0030)

−0.0039

(0.0053)

0.0006

(0.0050)

0.0072

(0.0066)

0.0128

(0.0078)

F-test for panels

27.16

(p < 0.001)

33.27 (p < 0.001)

32.57 (p < 0.001)

26.83 (p < 0.001)

18.25 (p < 0.001)

14.56 (p < 0.001)

69.11 (p < 0.001)

76.25 (p < 0.001)

68.45 (p < 0.001)

54.81 (p < 0.001)

33.59 (p < 0.001)

27.10 (p < 0.001)

Breusch-Pagan test

243.62 (p < 0.001)

259.10 (p < 0.001)

246.38 (p < 0.001)

204.23 (p < 0.001)

169.40 (p < 0.001)

154.54 (p < 0.001)

684.17 (p < 0.001)

698.70 (p < 0.001)

674.56(p < 0.001)

595.05 (p < 0.001)

370.52 (p < 0.001)

288.81 (p < 0.001)

Hausman test

9.95 (p = 0.269)

10.29 (p = 0.245)

10.45 (p = 0.235)

10.47 (p = 0.233)

9.89 (p = 0.273)

9.71 (p = 0.286)

2.83 (p = 0.945)

2.99 (p = 0.935)

2.90 (p = 0.940)

3.81 (p = 0.874)

10.56 (p = 0.228)

11.20 (p = 0.191)

  1. Source: own calculations based on [21]. Notes: Each model built with 192 observations. All the variables are expressed in natural logarithms. The values in parenthesis for variables estimates are standard errors. Models are estimated using random-effects method and Nerlove's technique is used in the generalized least squares procedure. All the covariates except "Housing conditions" are lagged for three years. The variables for education, employment in services and physical activity are sex-specific. a, b, c - coefficients significant at the 0.1, 0.05 and 0.01 levels, respectively