html5
1 / 21

An example of longitudinal LFS weights

An example of longitudinal LFS weights. Katja.Rutar@gov.si Division for general methodology and standards. LFS panel sample sizes (number of households) for the years 2012 and 2013. Data collection. First wave – CAPI Repeated waves – (predominantly) CATI

brett-case
Download Presentation

An example of longitudinal LFS weights

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. An example of longitudinal LFS weights Katja.Rutar@gov.si Division for general methodology and standards

  2. LFS panel sample sizes (number of households) for the years 2012 and 2013

  3. Data collection • First wave – CAPI • Repeated waves – (predominantly) CATI • Nonrespondinghouseholdsfrompreviousquarters are not included in the panel sample • Responserate: in firstwave – 66%; in repeatedwaves – 83% • Averagehouseholdssizeforrespondinghouseholds ~ 2,75 members

  4. Number of responding individuals

  5. Number of responding individuals – 15 years +

  6. Non-response distribution of the longitudinal sample – 3rd to 4th quarter 2013

  7. Attrition by selected relevant characteristics of the household (completion rate)

  8. Weighting steps • Cross-sectionaldesignweights (on strataandwavelevel) • Cross-sectionalnon-responseweghts (on strataandwavelevel) • Longitudinalnon-responsewave (on stratalevel, to responsestatuses at thefinalquarter) • Grossing up to populationtotal (wavelevel) • Calibration to demographicdata (alldatatogether, to firstquartersituation) • Calibration to mainemploymentstatuses (alldatatogether, to firstquartersituation) + Calibrationto demographicdata (alldatatogether, to firstquartersituation) + Calibrationto mainemploymentstatuses (alldatatogether, to firstquartersituation)

  9. Longitudinal population Q – Q (July 1st 2013 vs. Oct 1st 2013)

  10. Longitudinal population Y – Y (Oct 1st 2012 vs. Oct 1st 2013)

  11. Basic descriptive statistics for the Q – Q longitudinal weight,compared to standard quarterly weight, 3rd quarter 2013

  12. Changes in main employment statuses for the cohort, interviewed in 3rd and 4th quarter 2013 – using longitudinal weight

  13. Changes in main employment statuses for the cohort, interviewed in 3rd and 4th quarter 2013 – using longitudinal weight 932 vs. 910 Employed 922 45 22 13 45 Inactive 741 Uneemployed 96 26 21 82 vs. 97 752 vs. 753

  14. Relative standard errors for estimates of changes in main employment statuses for the cohort, interviewed in 3rd and 4th quarter 2013 – using longitudilan weight

  15. Changes in main employment statuses for the cohort, interviewed in 3rd and 4th quarter 2013 – unweighted estimates

  16. Y - Y

  17. Basic descriptive statistics for the Y – Y longitudinal weight,compared to standard quarterly weight, 4rd quarter 2012

  18. Changes in main employment statuses for the cohort, interviewed in 4th quarter 2012 and 2013 – using longitudinal weight

  19. Relative standard errors for estimates of changes in main employment statuses for the cohort, interviewed in 4th quarter 2012 and 2013 – using longitudilan weight

  20. Changes in main employment statuses for the cohort, interviewed in 4th quarter 2012 and 2013 – unweighted estimates

  21. Conclusions & Open questions • There are many possibilities to calculate longitudinal weights. • At each separate stage of weighting process some assumptions have to be taken. • Should we give priority to consistency of employment statuses, nonresponse adjustment, demographic distribution, at which point of time?

More Related