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Support #1271

Individual weights of those whose household questionnaires are not available

Added by Louise Luo over 4 years ago. Updated over 1 year ago.

Status:
Resolved
Priority:
Normal
Assignee:
-
Category:
Weights
Start date:
11/12/2019
% Done:

100%

Description

Dear Officer,

According to my understanding, the individual weights take into account predicted household response probability. However, I find that the weights for those individuals whose household questionnaires (w_hhresp) are not available are not zero (e.g. people whose household ids are 1297691602 1362862802 1436119202 in wave 2). I am wondering how to model the household response probability when their household questionnaires are not available?

Best wishes,

Louise

#1

Updated by Stephanie Auty over 4 years ago

  • Category set to Weights
  • Assignee set to Olena Kaminska
  • Private changed from Yes to No
#2

Updated by Olena Kaminska over 4 years ago

Louise,

I have checked for you and for the households id's that you mentioned we provided b_psnenub_xw b_psnenus_lw b_psnenus_xw weights, the other weights have correctly the value of 0 as these households originate from UKHLS EMB sample.

Could you clarify what you are trying to do? Is your research related to creating weights / looking into nonresponse; or are you studying a substantive topic?

Thank you,
Olena

#3

Updated by Louise Luo over 4 years ago

Hi Olena,

Thank you very much for your reply.

I am creating my own cross-sectional individual weights. I want to adopt the method similar to the one used to create b_indpxus_lw.

Correct me if I am wrong.

To create b_psnenus_lw, a_psnenus_xw is multiplied by an inverse probability. This inverse probability is predicted by logistic regression. The predictors are obtained from the household grid and household questionnaire. The household grid is in b_indall and the household questionnaire is in b_hhresp.

There are some households whose household questionnaires are not available (eg. b_hhresp does not include those households whose household id is 1297691602, 1362862802 and 1436119202). In this case, how to estimate the regression for these individuals whose household questionnaires are unavailable?

Louise

#4

Updated by Olena Kaminska over 4 years ago

Louise,

Thank you. For these households I imputed the missing predictor values.

Best of luck,
Olena

#5

Updated by Louise Luo over 4 years ago

Olena,

I see. Thank you very much.

Best wishes,

Louise

#6

Updated by Stephanie Auty over 4 years ago

  • Status changed from New to Feedback
  • Assignee changed from Olena Kaminska to Louise Luo
  • % Done changed from 0 to 80
#7

Updated by Understanding Society User Support Team over 1 year ago

  • Status changed from Feedback to Resolved
  • Assignee deleted (Louise Luo)
  • % Done changed from 80 to 100

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