The DHS Program User Forum
Discussions regarding The DHS Program data and results
Home » Data » Merging data files » Appending Multi-phase Nigerian DHS Surveys (Handling Inconsistent Value Labels and Creating a Survey Design for Multi-phase DHS Surveys)
Re: Appending Multi-phase Nigerian DHS Surveys [message #30134 is a reply to message #29965] Tue, 01 October 2024 16:11 Go to previous messageGo to previous message
Oby is currently offline  Oby
Messages: 6
Registered: August 2024
Member
Thank you for your response bridgette. I have a follow-up question. My analytic sample is currently married women(15-49 years) and according to DHS guidelines, I am to denormalise the weight using population data from UNPD World Population Prospects. However, there is no population data for currently married women in Nigeria. Since I don't have direct population data for currently married women in Nigeria, I plan to use the proportion of currently married women from the DHS data to estimate it, and then apply that proportion to the total population of women aged 15-49 for each survey year.

This is my code below (I am using R)
# Denormalising the weight using population data from UNPD World Population Prospects-----

# divide v005 by 1 million
ir_2003 <- ir_2003 %>% mutate(weight_norm = v005 / 1000000)
ir_2008 <- ir_2008 %>% mutate(weight_norm = v005 / 1000000)
ir_2013 <- ir_2013 %>% mutate(weight_norm = v005 / 1000000)
ir_2018 <- ir_2018 %>% mutate(weight_norm = v005 / 1000000)

# total population of 15-49 women for each survey year
pop_2003 <- 31544644
pop_2008 <- 35882027
pop_2013 <- 41018918
pop_2018 <- 47146390

# Estimate the population of currently married women for each survey year
pop_married_2003 <- pop_2003 * prop_married_2003 # (prop_married means proportion of currently married)
pop_married_2008 <- pop_2008 * prop_married_2008
pop_married_2013 <- pop_2013 * prop_married_2013
pop_married_2018 <- pop_2018 * prop_married_2018

# Denormalize the weights using the estimated population of currently married women
ir_2003 <- ir_2003 %>% mutate(weight_denom = weight_norm * pop_married_2003 / sum(weight_norm))
ir_2008 <- ir_2008 %>% mutate(weight_denom = weight_norm * pop_married_2008 / sum(weight_norm))
ir_2013 <- ir_2013 %>% mutate(weight_denom = weight_norm * pop_married_2013 / sum(weight_norm))
ir_2018 <- ir_2018 %>% mutate(weight_denom = weight_norm * pop_married_2018 / sum(weight_norm))

Would this be accurate, or should I just use the data for the total population of women without applying the proportion?

Report message to a moderator

[Message index]
 
Read Message
Read Message
Read Message
Read Message
Read Message
Read Message
Read Message
Read Message
Read Message
Read Message
Read Message
Previous Topic: Merging data files
Next Topic: Merging IR MR file
Goto Forum:
  

[ Syndicate this forum (XML) ] [ RSS ] [ PDF ]

Current Time: Fri Nov 8 04:24:08 Coordinated Universal Time 2024
.:: Contact :: Home :: Privacy Policy ::.

Powered by: FUDforum 3.0.9.
Copyright ©2001-2018 FUDforum Bulletin Board Software

The information provided on this Web site is not official U.S. Government information and
does not represent the views or positions of the U.S. Agency for International Development or the U.S. Government...