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Redesigning the LFS at Statistics Netherlands
May 17, 2018 Björn Janssen
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Contents - Brief history - Current LFS - Improvement opportunities
- Future LFS
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Brief history Cawi Cati Capi Paper
Labour Force ( ) Crime (85.000) Consumer Confidence (25.000) Health (17.000) Working Conditions ( ) ICT (9.200) Adult Education (7.100) Income & Living Cond. (14.000) School Leavers ( ) Social Cohesion (12.000) Opinions & Lifestyle (6.300) Housing ( ) Mobility ( ) Life Style Monitor (17.000)
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Design current LFS - Household sample / monthly sample / not mandatory
- All household members aged 15+ should participate (proxy) Q1 Q2 Q3 Q4 Q5 Cawi Willing = Y ? Cati Y ? Cati Y ? Cati Y ? Cati Cawi Cati Capi Month t M t+1 M t+ 2 Q1 - Sliding reference week Discard random Non-response Willing = Y ? Cati Capi Willing = Y ?
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Improvements - Increase response levels
- Compensate for decreasing quality of telephone numbers - Cawi in waves 2 - 5 - Reduce questionnaire lenght - Reduce influence of proxy datacollection - Improved lay-out of questionnaire - More even distribution of responses
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Improvements (current distribution)
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Future design LFS - Sample of persons (11 % increase response)
- Weekly samples cawi first wave - Weekly cati approach cawi non-response - Capi unchanged - Cawi non-response discarded selectively - Cawi in waves 2 – 5 cati follow-up - Approach by in waves 2 – 5 - Questionnaire tailored for mobile devices - Blaise 5.3 …. / Phoenix
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Future design LFS (weekly samples)
Cawi Cati Capi Cawi Cawi Cawi Capi Cati Cawi Cawi Cawi Cawi Cawi Cawi t-1 t t+1 t+2 t+3 t+4 t+5 t+6 Week
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Improvements (distribution after)
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Non-response discarded selectively
Health survey Western: group 1 to 6 Income High Low Age / Pop dens 1 2-5 0-11 5 6 12-24 2 25-64 3 4 65+ Non Western: group 7 to 9 Group Age of 65+
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Non-response discarded selectively
group % r cawi % to capi % r capi % r total 1 43 56 49 58 2 25 95 47 3 38 71 42 57 4 23 100 5 39 44 65 6 37 66 48 7 19 31 8 20 52 9 29 Low income Low income Non western Non western
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In conclusion - Increase in response level
- Better representation of the target population - More even distribution of responses over time - Shorter questionnaires with better lay-out - Very interested in the experiences of other agencies
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