Skip to main content

Table 2 Results from Blinder-Oaxaca decomposition analysis of gender inequalities in HIV/AIDS prevalence

From: What explains gender inequalities in HIV/AIDS prevalence in sub-Saharan Africa? Evidence from the demographic and health surveys

Countries

Survey year

Gender inequality in HIV/AIDS prevalence (women-men)

Composition effectf

Response effectg

Beta (SE)

p-value

Percentd

Beta (SE)

p-value

Percente

Cameroonc

2011

2.69

0.012 (0.004)

0.001

44.2

0.015 (0.005)

0.002

55.8

Congo Brazzavillea

2009

2.07

−0.003 (0.005)

0.478

−15.6

0.024 (0.007)

0.000

115.6

Côte d’Ivoirea

2005

3.10

0.005 (0.007)

0.514

16.2

0.024 (0.010)

0.013

83.8

Ethiopiaa

2011

0.88

0.001 (0.003)

0.698

13.3

0.007 (0.004)

0.039

86.7

Ghanab

2003

1.08

0.01 (0.003)

0.000

91.9

0.001 (0.004)

0.811

8.1

Guineac

2005

0.79

−0.014 (0.007)

0.05

−176.5

0.023 (0.008)

0.006

276.5

Liberia

2007

0.68

−0.008 (0.008)

0.314

−111.1

0.014 (0.009)

0.094

211.1

Malawic

2010

4.50

0.022 (0.006)

0.000

48.8

0.023 (0.008)

0.006

51.2

Mozambiquea

2009

3.63

0.006 (0.011)

0.583

18.5

0.026 (0.013)

0.051

81.5

D.R. Congo

2007

0.70

−0.001 (0.004)

0.852

−10.6

0.008 (0.005)

0.106

110.6

Rwandaa

2010

1.30

0.002 (0.004)

0.524

18.6

0.01 (0.005)

0.028

81.4

Swazilandc

2006/07

11.45

0.021 (0.009)

0.015

18.7

0.093 (0.012)

0.000

81.3

Ugandab

2011

2.10

0.018 (0.003)

0.000

83.7

0.003 (0.005)

0.476

16.3

Zambiaa

2007

3.80

0.005 (0.008)

0.522

13.9

0.031 (0.01)

0.003

86.1

Zimbabwea

2010/11

5.05

0.009 (0.007)

0.188

17.7

0.044 (0.010)

0.000

82.3

  1. Note: using this method, the net percent contribution of both components always equals to 100. A contribution may be negative (less than zero) or positive and can even exceed 100. A positive contribution indicates that the component contributes to the greater prevalence of HIV/AIDS among women relative to men, whereas a negative contribution indicates the opposite
  2. SE: Standard Error
  3. aCountries where the difference between men and women in the response to risk factors mainly explains the gender gap at p-value = 5 %
  4. bCountries where the difference in the distribution of risk factors between men and women mainly explains the gender gap at p-value = 5 %
  5. cCountries where difference in both the response to factors and the distribution of factors between men and women explains the gender gap at p-value  = 5 %
  6. dPart of gender inequality in HIV/AIDS prevalence attributable to differences in the distribution of risk factors
  7. ePart of gender inequality in HIV/AIDS prevalence attributable to differences in the effects of risk factors
  8. fRepresent the contribution to gender inequalities in HIV/AIDS prevalence due to gender differences in the distributions of observable HIV/AIDS risk factors between women and men
  9. gReflect the contribution to gender inequalities in HIV/AIDS due to gender differences in the effects of measured HIV/AIDS risk factors, as well as unmeasured factors not included in the model