Home » Data » Weighting data » SSU variables in the Mauritania DHS2019-2021 (The number of pregnant women who delivered their last child in the past five years preceding to the survey in Mauritania)
| Re: SSU variables in the Mauritania DHS2019-2021 [message #28735 is a reply to message #28730] |
Fri, 01 March 2024 07:45   |
Bridgette-DHS
Messages: 3199
Registered: February 2013
|
Senior Member |
|
|
Following is a response from Senior DHS Stata Specialist, Tom Pullum:
The variable to identify PSUs is v001 (duplicated as v021) and the variable for households, which are the SSUs, is v002. However, you don't need either of them. The following lines will give a table for the number of births that the sampled women had before August 2019, during August 2019, or after August 2019, for each region (v024), not just the two regions you mentioned.
Note that these are numbers of births to women in the sample. The number of births after August 2019 is affected by when the woman was interviewed. The fieldwork started in November 2019 and was stopped in March 2020 (there were 2 interviews in April 2020), and then resumed for two months in February-March 2021. If you are trying to get at the impact of COVID-19 on fertility, you will have to take the date of interview into account. Only the 5,016 women interviewed in 2021 could possibly show a COVID-19 effect.
* Number of births in the Mauritania 2019-21 survey before/after August 2019, by region
use "C:\Users\26216\ICF\Analysis - Shared Resources\Data\DHSdata\MRBR71FL.DTA", clear
* Find the cmc for August 2019
summarize b3 if b1==8 & b2==2019
* August 2019 is b3=1436
* Construct a variable for the timing of births in the birth histories
gen birthdate=1
replace birthdate=2 if b3==1436
replace birthdate=3 if b3>1436
label define bd 1 "Before August 2019" 2 "In August 2019" 3 "After August 2019"
label values birthdate bd
tab v024 birthdate [iweight=v005/1000000]
Here is the table of weighted frequencies:
| birthdate
region | Before Au In August After Aug | Total
----------------------+---------------------------------+----------
hodh echargui | 5,398.926 40.237882 165.757235 |5,604.9211
hodh gharbi |4,306.5666 28.994562 137.206754 | 4,472.768
assaba | 3,542.996 19.488518 85.435286 | 3,647.92
gorgol | 3,866.476 21.88072 100.96081 | 3,989.317
brakna | 2,995.976 21.032225 97.846587 | 3,114.855
trarza | 1,992.851 16.385234 51.722557 | 2,060.959
adrar |676.115868 2.597507 16.480042 |695.193417
dakhlet nouadhibou | 1,097.09 4.328784 28.115727 | 1,129.534
tagant |867.836632 5.258122 23.18794 |896.282694
guidimagha | 3,860.71 23.182374 104.898378 | 3,988.791
tiris zemour et inchi |589.395148 6.91581 15.450279 |611.761237
nouakchott ouest | 1,339.084 8.220457 146.107834 | 1,493.412
nouakchott nord | 4,009.97 17.350836 347.069054 | 4,374.39
nouakchott sud | 3,567.589 18.178068 302.901025 | 3,888.668
----------------------+---------------------------------+----------
Total | 38,111.58 234.051099 1,623.14 | 39,968.77
|
|
|
|
Current Time: Thu Nov 28 17:21:12 Coordinated Universal Time 2024
|
The DHS Program User Forum
Members
Search
Help
Register
Login
Home
