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Re-designing the German job vacancy survey ─ assessing the impact of high non-response rates

Re-designing the German job vacancy survey ─ assessing the impact of high non-response rates Hans Kiesl, Susanne Rässler Institute for Employment Research (IAB), Germany. International Conference on Establishment Surveys III Montreal • June 18-21, 2007. Background.

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Re-designing the German job vacancy survey ─ assessing the impact of high non-response rates

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  1. Re-designing the German job vacancy survey ─ assessing the impact of high non-response rates Hans Kiesl, Susanne Rässler Institute for Employment Research (IAB), Germany International Conference on Establishment Surveys III Montreal • June 18-21, 2007

  2. Background • Information on job vacancies in Germany • Business units might report job vacancies to the Federal Employment Agency • Federal Employment Agency publishes monthly statistics on number of registered job vacancies (by industry class and NACE-sector) • IAB conducts a yearly (4th quarter) mail sample survey among business units to estimate number of job vacancies (registered or not) and to get additional information (e.g. about recruiting strategies) • Mail questionnaire (8 pages in length) • In the future: quarterly survey (CATI interviews in quarters 1-3)

  3. Basic sampling design • stratified SRS; 16 sectors  7 size classes  West/East • sampling rates and sample sizes in different size classes:

  4. Problem: extremely low response rates

  5. Reasons for non-response • After 2004 survey, CATI subsample of non-respondents to • find out main reasons for non-response • sample of 1700 business units • 26% no/wrong telephone number • 16% not willing to respond • 58% respondents; their reasons for non-response in job vac. survey: • 75%: no time; too much work (88% for largest units) • 27%: no job vacancies (41% for smallest units) • 25%: no relevant topic (44% for smallest units) • 17%: take part in surveys only if mandatory • 9%: never take part in surveys

  6. Impact of length of questionnaire (1) • During the 4th quarter of 2006 (at the same time of the regular survey with 8 pages) a separate survey was conducted (1 page, basic infos, e.g. number of job vacancies). • Questions: • Has length of questionnaire significant impact on response rates? (Prediction: yes) • If so, do different response rates lead to different estimates of number of job vacancies? (Prediction: yes)

  7. Impact of length of questionnaire (2) • Response rates by size of business units:

  8. Response rates by sector: Impact of length of questionnaire (3)

  9. Calibrate Horvitz-Thompson-estimator to totals from auxiliary data: • sampling frame out of date (> 1 year) • up-to-date estimates on number of units by size and by sector (no cross-classification) • up-to-date estimates on number of employees by size and sector (no cross-classification) • registered number of job vacancies by sector • Previously: iterative proportional fitting with additional restriction • two different weighting factors within each stratum (units with and without job vacancies) • no variance estimation • Now: linear GREG Weighting and estimation

  10. Effect on distribution of weighting factors

  11. Impact of length of questionnaire on estimated number of job vacancies (1)

  12. Impact of length of questionnaire on estimated number of job vacancies (2)

  13. Impact of length of questionnaire on estimated number of job vacancies (3)

  14. Conclusions • Length of questionnaire has considerable effect on response rates (as expected). • Change in response rates seem to have only little effect on main survey estimates (job vacancies) (not as expected). • Nevertheless split questionnaire design will be adopted in future. • Small-scale non-respondent CATI follow-up survey will be conducted every year.

  15. Thank you very much for listening! International Conference on Establishment Surveys III Montreal • June 18-21, 2007

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