Home » Topics » Water and Sanitation » Existing water and sanitation infrastructure's impact on diarrhea incidents
|
|
 Re: Existing water and sanitation infrastructure's impact on diarrhea incidents [message #3931 is a reply to message #3925] |
Sat, 07 March 2015 17:27   |
Reduced-For(u)m
Messages: 292
Registered: March 2013
|
Senior Member |
|
|
Usually this is done by merging several datasets. Many DHS surveys (all?) ask where the household gets their water (piped, well, etc). Then, people often bring in external data from some country or region on expansion of water policies/investments, and use that information to instrument for water access by the households in the DHS data. The water availability roll-out data usually has to come from just shoe leather work: google, talks with government people, reading about programs in various countries, etc. But that information (plausibly exogenous roll out of water access) is just something you have to find on your own (otherwise someone probably would have already done it!).
So the basic idea is something like this, for estimating the causal effects of water access on diarrhea (or whatever outcome): external data for an instrument, water access data from the DHS is the first-stage dependent variable, and then diarrhea (or whatever) would be the final outcome in the second-stage.
That help?
|
|
|
|
|
|
| Re: Existing water and sanitation infrastructure's impact on diarrhea incidents [message #14566 is a reply to message #3925] |
Sat, 21 April 2018 20:19 |
kingx025
Messages: 95
Registered: August 2016
Location: Minneapolis. Minnesota
|
Senior Member |
|
|
A complementary source that you might turn to for additional data on water and sanitation facilities is the international census data from the IPUMS-International project (at international.ipums.org), in particular, the WATSUP, SEWAGE, and TOILET variables. These samples are very large, normally 10 percent of enumerated households, and usually have geographic detail down to the second administrative level. There is no data on diarrheal disease collected in censuses, but for DHS samples with GPS point data on sample clusters, you can map the sample clusters onto the IPUMS-I regions, sum values for the region for variables of interest, attach those values to the DHS microdata, and see, for example, if children in regions with higher incidence of piped water and flush toilets have lower incidence of diarrheal disease. Let me know if you want further information about this approach.
Miriam King
Dr. Miriam King
IPUMS-DHS Project Manager (www.idhsdata.org)
|
|
|
|
Goto Forum:
Current Time: Sun Apr 6 21:53:41 Coordinated Universal Time 2025
|
The DHS Program User Forum
Members
Search
Help
Register
Login
Home
