Project

General

Profile

Support #1779

Calculating persistent poverty

Added by Facundo Herrera over 1 year ago. Updated 5 months ago.

Status:
Resolved
Priority:
Normal
Category:
Weights
Start date:
10/08/2022
% Done:

100%


Description

Dear Team,
I need to estimate persistent poverty rates following the standard definition that someone is persistently poor if she/he has been poor in the current year and in two of the last three years. The first question I have is regarding attrition: if the poor were more prone to attrition, are the longitudinal weights able to account for that? And my second question is about balanced panels: if I keep only those with income data in the last 4 waves, would I be affecting the representativeness of the sample?
Thanks a lot for your support,

Facundo

#1

Updated by Understanding Society User Support Team over 1 year ago

  • Assignee changed from Understanding Society User Support Team to Olena Kaminska
  • Private changed from Yes to No

Many thanks for your enquiry. The Understanding Society team is looking into it and we will get back to you as soon as we can.

We aim to respond to simple queries within 48 hours and more complex issues within 7 working days.

Best wishes,
Understanding Society User Support Team

#2

Updated by Olena Kaminska over 1 year ago

Dear Facundo,

Thank you for your question.
Yes, the weights account for attrition, including that related to income.
If you use imputed income you don't need additional correction. If you use reported income (excluding imputation) you may want to consider correcting for missingness in income through either imputation or additional weighting (imputation may be preferable here as you know many other attributes of those people with missing income).

Hope this helps,
Olena

#3

Updated by Understanding Society User Support Team over 1 year ago

  • Status changed from New to Feedback
  • % Done changed from 0 to 90
#4

Updated by Understanding Society User Support Team 5 months ago

  • Status changed from Feedback to Resolved
  • % Done changed from 90 to 100

Also available in: Atom PDF