Home » Data » Weighting data » All-women factor in trend analysis (All-women factor in trend analysis)
| Re: All-women factor in trend analysis [message #26728 is a reply to message #26724] |
Mon, 24 April 2023 12:19   |
Bridgette-DHS
Messages: 3199
Registered: February 2013
|
Senior Member |
|
|
Following is a response from Senior DHS staff member, Tom Pullum:
I apologize for an error in the version of the Stata program with a "3Mar2023" date. Please use the attached version, with today's date, "24Apr2023". The only change in the corrected version is that the two lines
scalar mean_wt_ratio_nmw_to_emw=mean_wt_emw/mean_wt_nmw
replace v005=v005*mean_wt_ratio_nmw_to_emw if nmw==1
should be used instead of the line "replace v005=v005*...... if nmw=1". That line had included mean_wt_ratio_nmw_to_emw but that scalar had not been defined. The program had correctly extracted the two means from the summarize commands and had assigned names to them, but I had not defined another scalar to be the ratio of those two means. Apparently I was doing some final streamlining of the program. The mistake is essentially a typo but a serious one.
If you make that substitution the program should work ok. I'm only posting a revised version, with today's date, in case someone else wants to use the program. Thanks for checking and seeing that v005 was missing for the never-married women. That would have a serious effect on any analysis!
[Updated on: Mon, 01 May 2023 14:17] Report message to a moderator |
|
|
|
Current Time: Mon Nov 25 22:26:54 Coordinated Universal Time 2024
|
The DHS Program User Forum
Members
Search
Help
Register
Login
Home
