2. Redesign Dutch LFS 2021 Sample of persons with a panel of households
Martijn Souren
Reykjavik, April 2018

3. 6 domains 1. Sampling 2. Collection 3. Sub-sampling 4. Questionnaire
Processing
Output

4. 1. Sampling

5. Sampling Person sampling: No proxy
Shorter questionnaire -> mobile devices -> higher response and panel reqruitement rates ->
Future proof
More costs per response:

6. Sampling Make it as efficiënt as possible:
Stratification targeted at meaurement of unemployment for 15- tot 75-years old:
“Maximizing” design effect

7. Sampling Age = 15-24 25-44 45-64 65+ Reg. Unempl = 0 West = 1 3/8 1/4
1/8
West = 0
5/8
Reg. Unempl= 1
7/8 1

8. Sampling

9. 1. Sampling
2. Collection
6. Output

10. Output Simulating person sample out of current household sample
Applying the design effect
Response wave 1 based on experiment
Using same budget
Assumptions on panel response
-> Appr. 10 percent increase in SE MUR

11. 6 stappen
1. Sampling
2. Collection
3. Sub-sampling
Output

12. Subsampling Type of variable Waves Q: Quarterly All H: Household One
Y: Yearly
M: Ad-hoc module
T: Third party module
L: Longitudinal
2-5

13. Subsampling Q Q,L From P1: Q: Quarterly
From P2: Q: Quarterly, partly dependent int. L: Longitudinal Only P2 Y: Yearly M: Ad-hoc
Only P3 T: Third Party
Only P5
H: Household

14. Subsampling Q Q,L From P1: Q: Quarterly
From P2: Q: Quarterly, partly dependent int. L: Longitudinal Only P2 Y: Yearly M: Ad-hoc
H: Household
Only P3 T: Third Party H: Household

15. Subsampling Q Q,L,H Q,L,h From P1: Q: Quarterly From P2:
Q: Quarterly, partly dependent int.
L: Longitudinal
H: Household
Q,L,h
Only P2 Y: Yearly M: Ad-hoc
Only P3 T: Third Party

16. 1. Sampling
2. Collection
3. Sub-sampling
6. Output

17. Output Extending Structural Time series with household data
Important: first wave estimate is the benchmark!
Household data does not affect level of estimates but improves precision
-> Appr. 10 percent decrease in SE MUR

18. Output Extending Structural Time series to more variables:
- STAPRO/TEMP
- Potential additional labour force
- Duration of unemployment

19. 1.
Sampling 2.
Collection
3. Subsampling
4. Questionnaire
Processing
Output

20. Questionnaire
As short and respondent-friendly as possible for other Household members
E.g.:
Instead of model questionnaire:
Does partner have a paid job? Is partner self-employed
If no: did partner look for a job
Could partner start working within 2 weeks.

21. Questionnaire and output
For model-based estimates: Level is based on proxy-free person sample interviews
For household/yearly variables a more general labour market position suffices

22. Conclusion Questions? First wave minimizes bias
Panel maximizes precision
Questions?