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Home » Topics » Unmet Need » Getting Unmet Need & Demand Satisfied Estimates to Match StatCompiler for 5 Different Surveys (Getting Unmet Need & Demand Satisfied Estimates to Match StatCompiler for 5 Different Surveys)
Re: Getting Unmet Need & Demand Satisfied Estimates to Match StatCompiler for 5 Different Surveys [message #16367 is a reply to message #16323] Fri, 28 December 2018 10:02 Go to previous messageGo to previous message
cgreenba is currently offline  cgreenba
Messages: 18
Registered: October 2017
Member
Hi Trevor,

I apologize for the delay, but thank you so much for this reply. I really appreciate it.The information that you provided is very helpful. I have just a few follow-up questions if you are able to respond.

1. Is there a list of surveys for which in the v626a variable, certain non-currently married women are classified as "not married and not sexually active" before checking whether they are pregnant or postpartum amenorrheic (as is the case with Honduras 2011-12, Rwanda 2010-11, Uganda 2011)? If I understand correctly, for these surveys, to make the v626a unmet need definition comparable to the v626a variable in other more recent surveys, we need to use the survey-specific code. Is this correct? Is there any documentation about this?

2. You state that you were able to match the unmet need numbers for Niger 2006 when you used the survey-specific code, but this survey is not listed in the .do file as one of the countries that require the survey-specific code. Is there an updated list of surveys for which the survey-specific code should be used as opposed to the general recode?

3. In both the general and survey-specific code for the revised unmet need definition, I noticed at the very end when the binary 'unmettot" variable is generated for the "unmet" variable, the code categorized both 98 "unmarried - EM sample or no data" and 99 "missing" as NOT having unmet need instead of as missing. This appears to match the number that are in StatCompiler, but I'm not sure why those two categories would be counted as not having unmet need rather than missing. To me, the "missing" category indicated that we do not know whether the respondent does or does not have unmet need and the "unmarried - EM sample or no data" category indicated that these women shouldn't be in the sample or weren't asked the unmet need questions. Is there a reason behind this? When calculating overall unmet need, should those categories be included in the denominator when there is not information on whether or not they have unmet need?

Any help on this would be greatly appreciated. Thank you so much!

Best,
Charlotte
 
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