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An example of longitudinal LFS weights Division for general methodology and standards.

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Presentation on theme: "An example of longitudinal LFS weights Division for general methodology and standards."— Presentation transcript:

1 An example of longitudinal LFS weights 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 Nonresponding households from previous quarters are not included in the panel sample Response rate: in first wave – 66%; in repeated waves – 83% Average households size for responding households ~ 2,75 members

4 Number of responding individuals

5 Number of responding individuals – 15 years +

6 Non-response distribution of the longitudinal sample – 3 rd to 4 th quarter Q3 / 2012Q4Households%2 nd wave3 rd wave5 th wave Sample Ineligible 3 0,1% 0,0% Response ,2%77,2%85,0%91,8% Nonresponse ,8%22,7%14,9%8,2% - Refusals ,4%65,6%71,7%65,3% - Noncontacts 84 13,3%14,8%11,2%11,1% - Other122 19,3%19,6%17,1%23,6%

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

8 Weighting steps Cross-sectional design weights (on strata and wave level) Cross-sectional non-response weghts (on strata and wave level) Longitudinal non-response wave (on strata level, to response statuses at the final quarter) Grossing up to population total (wave level) Calibration to demographic data (all data together, to first quarter situation) Calibration to main employment statuses (all data together, to first quarter situation) + Calibration to demographic data (all data together, to first quarter situation) + Calibration to main employment statuses (all data together, to first quarter situation)

9 Longitudinal population Q – Q (July 1 st 2013 vs. Oct 1 st 2013) 3th quarter 20133th and 4th quarter 20134th quarter 2013 MaleFemaleMaleFemaleMaleFemale years years years Total

10 Longitudinal population Y – Y (Oct 1 st 2012 vs. Oct 1 st 2013) 4th quarter 20124h quarter 2012 and 20134th quarter 2013 MaleFemaleMaleFemaleMaleFemale years years years Total

11 Basic descriptive statistics for the Q – Q longitudinal weight, compared to standard quarterly weight, 3 rd quarter 2013 nmeanstddevminq1q3maxpopulation W_LONG13q ,28165,4714,28139,87290, , W_CROS13q ,9790,2510,7976,44159, ,

12 Changes in main employment statuses for the cohort, interviewed in 3 rd and 4 th quarter 2013 – using longitudinal weight 2013Q3 / 2013Q4UnemloyedEmployedInactivePopulation under 15 in 1000% % % % Unemployed Employed Inactive Population under

13 Changes in main employment statuses for the cohort, interviewed in 3 rd and 4 th quarter 2013 – using longitudinal weight Employed 922 Inactive 741 Uneemployed vs vs vs. 910

14 Relative standard errors for estimates of changes in main employment statuses for the cohort, interviewed in 3 rd and 4 th quarter 2013 – using longitudilan weight 2013Q3 / 2013Q4UnemployedEmployedInactivePopulation under 15 CV%% Unemployed61210 Employed1519 Inactive1381 Population under

15 Changes in main employment statuses for the cohort, interviewed in 3 rd and 4 th quarter 2013 – unweighted estimates 2013Q3 / 2013Q4UnemloyedEmployedInactivePopulation under 15 %% Unemployed Employed Inactive Population under

16 Y - Y

17 Basic descriptive statistics for the Y – Y longitudinal weight, compared to standard quarterly weight, 4 rd quarter 2012 nmeanstddevminq1q3maxpopulation W_LONG12q ,76323,6641,07251,14561, , W_CROS12q ,7398,0915,6581,96170, ,

18 Changes in main employment statuses for the cohort, interviewed in 4 th quarter 2012 and 2013 – using longitudinal weight 2012Q4 / 2013Q4UnemloyedEmployedInactivePopulation under 15 in 1000% % % % Unemployed Employed Inactive Population under

19 Relative standard errors for estimates of changes in main employment statuses for the cohort, interviewed in 4 th quarter 2012 and 2013 – using longitudilan weight 2012Q4 / 2013Q4UnemployedEmployedInactivePopulation under 15 CV%% Unemployed91311 Employed15211 Inactive1492 Population under

20 Changes in main employment statuses for the cohort, interviewed in 4 th quarter 2012 and 2013 – unweighted estimates 2012Q4 / 2013Q4UnemloyedEmployedInactivePopulation under 15 %% Unemployed Employed Inactive Population under

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?


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