unraveling the causes of health inequalities
Download
Skip this Video
Download Presentation
Unraveling the causes of health inequalities

Loading in 2 Seconds...

play fullscreen
1 / 16

Unraveling the causes of health inequalities - PowerPoint PPT Presentation


  • 125 Views
  • Uploaded on

Unraveling the causes of health inequalities. Adam Wagstaff. What’s it all about?. Having measured inequalities, natural next step is to seek to account for them TN#15 and TN#14 present methods aimed at decomposing causes of inequality

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Unraveling the causes of health inequalities' - fergus


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
what s it all about
What’s it all about?
  • Having measured inequalities, natural next step is to seek to account for them
  • TN#15 and TN#14 present methods aimed at decomposing causes of inequality
  • Core idea is that outcome variable is caused by a set of determinants, which vary systematically with SES
  • E.g. poor have lower income but also less knowledge, worse access to drinking water, lack insurance coverage, etc.
  • Want to know extent to which inequalities in health status are due to (a) inequalities in income, (b) inequalities in knowledge, (c) inequalities in access to drinking water, etc.
oaxaca
Oaxaca
  • Oaxaca decomposes gap in outcome vbl between two groups
  • Attraction of Oaxaca over decomposition in TN#14 is that it allows for the possibility that inequalities caused in part by differences in effects of determinants
  • For example, health of the poor may be less responsive to changes in insurance coverage, or to changes in access to drinking water, etc.
slide4

equation for non-poor

y

ynon-poor

equation for poor

ypoor

xpoor

xnon-poor

x

slide5

equation for non-poor

y

ynon-poor

equation for poor

ypoor

xpoor

xnon-poor

x

but how far due to diffs in b s rather than diffs in x s
But how far due to diffs in b’s rather than diffs in x’s?

equation for non-poor

y

ynon-poor

equation for poor

ypoor

xpoor

xnon-poor

x

oaxaca 1 eqn 4
Oaxaca #1: eqn (4)

equation for non-poor

y

ynon-poor

Dbxnon-poor

equation for poor

Dxb poor

ypoor

xpoor

xnon-poor

x

oaxaca 2 eqn 5
Oaxaca #2: eqn (5)

equation for non-poor

y

ynon-poor

Dxbnon-poor

Dbxnon-poor

equation for poor

Dbxpoor

Dxb poor

ypoor

xpoor

xnon-poor

x

seeing how to do it through an example from vietnam
Seeing how to do it …through an example from Vietnam

Av. HAZ z-score kids<10 yrs:

Poor = -1.86

Non-poor = -1.44

Diff = 0.42

U.S. reference group = 0.00

the regression equation
The regression equation
  • y is the HAZ malnutrition score
  • Same regression model as Wagstaff et al. [8]
  • x includes
    • log of the child’s age in months (lnage)
    • sex = 1 if male
    • safewtr = 1 if drinking water is safe
    • oksan = 1 if satisfactory sanitation,
    • years of schooling of the child’s mother (schmom)
    • log of HH per capita consumption (lnpcexp)
    • poor = 1 if child’s HH is poor (if pcexp<Dong 1,790,000
testing for significant differences in b s in stata
Testing for significant differences in b’s in Stata

xi: reg haz i.poor*lnage i.poor*sex i.poor*safwtr i.poor*oksan i.poor*schmom i.poor*lnpcexp [aw=wt]

testparm _I*

stata f test output sign diffs use separate eqns
Stata F-test output—sign. diffs.  use separate eqns

. testparm _I*

( 1) _Ipoor_1 = 0.0

( 2) _IpooXlnage_1 = 0.0

( 3) _IpooXsex_1 = 0.0

( 4) _IpooXsafwt_1 = 0.0

( 5) _IpooXoksan_1 = 0.0

( 6) _IpooXschmo_1 = 0.0

( 7) _IpooXlnpce_1 = 0.0

F( 7, 5154) = 2.03

Prob > F = 0.0472

oaxaca in a chart
Oaxaca in a chart

Oaxaca #1 Oaxaca #2

ad