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Weighting for same cohort across multiple surveys [message #22967] Mon, 14 June 2021 12:53 Go to next message
cportner is currently offline  cportner
Messages: 20
Registered: September 2014
Location: Seattle
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I am looking at outcomes for women, aged 40+, who are born within a given time period. To get a sufficient sample size, I pool the four NFHS surveys. Say, I am looking at women born 1958-1967. In that case, the women cover three different surveys (a simple tabulation of number of women by year of birth and survey using only urban women is below), with some cohorts drawing women from one survey and some cohorts drawing women from two surveys. My problem is what to do with the weights across the surveys since the weight are specific to each survey. I assume I need to de-normalize by survey, but once that is done would I need to calculate new weights to combine the surveys?

> table(india_40$year_of_birth, india_40$version_number)
      
         23   42   52   74
  1942   36    0    0    0
  1943  376    0    0    0
  1944  515    0    0    0
  1945  493    0    0    0
  1946  494    0    0    0
  1947  742    0    0    0
  1948  598    0    0    0
  1949  564  271    0    0
  1950  684  565    0    0
  1951  628  555    0    0
  1952  773  564    0    0
  1953  205  745    0    0
  1954    0  702    0    0
  1955    0  643    0    0
  1956    0  794  423    0
  1957    0  712  835    0
  1958    0  893  811    0
  1959    0  262  817    0
  1960    0    5 1258    0
  1961    0    0 1009    0
  1962    0    0 1041    0
  1963    0    0 1185    0
  1964    0    0 1183    0
  1965    0    0 1539  824
  1966    0    0  529 2807
  1967    0    0    0 3958
  1968    0    0    0 3682
  1969    0    0    0 4231
  1970    0    0    0 5710
  1971    0    0    0 4037
  1972    0    0    0 4215
  1973    0    0    0 4316
  1974    0    0    0 4670
  1975    0    0    0 4876
  1976    0    0    0 1541

Thank you for the help,

Claus
Re: Weighting for same cohort across multiple surveys [message #22968 is a reply to message #22967] Mon, 14 June 2021 15:37 Go to previous message
Bridgette-DHS is currently offline  Bridgette-DHS
Messages: 3017
Registered: February 2013
Senior Member

Following is a response from DHS Research & Data Analysis Director, Tom Pullum:

When you do this, with pooled data, you are simply recoding v010 (year of birth). You are not following individuals. You still have different cases (independent cases, in fact), with different weights within and across surveys. I would just stay with the original weights. I suggest that you first conceptualize the analysis without worrying about the weights, and then consider whether to re-calculate the weights.

For svyset, you need to construct unique id codes for clusters and strata, as has been described in earlier forum postings.

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