| Problem with recreating Asset quintiles [message #24620] |
Wed, 08 June 2022 14:33  |
Preksha Mishra
Messages: 5
Registered: June 2022
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Member |
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Hi, I am attempting to recreate the Asset Quintiles for India(2015-16) as provided in the data basis cut-off points derived from the wealth index factor score (hv271 in PR file). I haves subset for de cure population before creation of quintiles.
My issue is that finding quintile cut-off points in R is not giving me the same Asset quintiles for roughly 780 observations. I am assuming that this is because my cut-off points are incorrect.
a) Can the factor score given in the dataset directly be used to make quintiles weighted by hv005/100000 (Wt_nat) in the PR file? If not then how to go about it?
b) If (a) is correct, then what could be the reason why my cut off points differ from the one used to the construct the quintile?
This is what I got using the following:
check_bins$quintile2 <- with(check_bins, cut(hv271,
breaks= wtd.quantile (hv271, q=seq(0,1, by=0.2), na.rm = FALSE, weight = Wt_nat),
include.lowest=TRUE, labels = c(1,2,3,4,5)))
20% -0.92065
40% -0.26808
60% 0.38776
80%. 1.06845
However, this is what was given in the wealth index excel file under Combined national wealth score tab. Are these the cut-off points?
20% -.9294019
40% -.2665299
60% .3948751
80% 1.0727570
I would really appreciate any help in this regard!
[Updated on: Wed, 08 June 2022 14:43] Report message to a moderator |
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| Re: Problem with recreating Asset quintiles [message #24644 is a reply to message #24632] |
Mon, 13 June 2022 11:11  |
Janet-DHS
Messages: 893
Registered: April 2022
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Senior Member |
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The Stata code I sent you is what DHS uses. There are very few households with no de jure members (372 out of more than 600,000 households in the NFHS-4), but if there are none, then the number of de facto household members (hv013) is used instead. I agree with you that this is an inconsistency, but I expect that it was originally adopted (at least 20 years ago) in order to avoid discarding the household. A few decisions like this are inevitable. If you want to change the procedure for your own analysis, you are certainly free to do so, but that will cause you to have minor deviations from the DHS tables.
In virtually all surveys the weighted number of de jure household members will not be EXACTLY the same in all quintiles, because everyone in the same household must be in the same quintile. It is also possible for multiple households to be tied at the same value of the continuous index (hv270) and this is more likely in large surveys, such as those in India. Finally, it is possible that the weights (hv005) were modified in this survey after the quintiles had been constructed. I cannot provide any other explanation for the differences you are observing.
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