Labour Force Survey Workshop,
Budapest, 16–17 May 2019

The 14th workshop on Labour Force Survey methodology is hosted by the Hungarian Statistical Office and will take place on the 16 and 17 of May 2019 in Budapest, Hungary. The workshop is expected to last two full days (the meeting should end 17 of May at about 5 pm). The workshop venue will be in the building of the HCSO: 1024 Budapest, Keleti Károly utca 5–7. All sessions will take place in the Keleti Károly Meeting Room on the first floor.

The 2019 LFS Workshop which is the second of the fourth cycle of workshops, covering the years 2018–2021 is dedicated to Data Collection.

Key dates

  • 15 February: Registration opens
  • 14 March: Deadline for submitting abstracts (30–40 rows)
  • 29 March: Authors notified of the acceptance of their proposals, provisional agenda published
  • 15 April: Registration for the workshop closes
  • 29 April: Deadline for authors to submit final versions of their papers (5 pages)
  • 6 May: Deadline for authors to submit final versions of their presentations
  • 16–17 May: Workshop

As in previous years, it is envisaged that the workshop will have only plenary sessions. Each session will consist of presentations and discussions. The meeting language will be English. A lead will be identified for each session and a short paper is required to accompany each presentation, the length of which should not exceed 5 pages. We encourage you and your colleagues to provide presentations related to the topics presented below.

Questionnaire design and testing:

  • Harmonization issues
  • Adaptation of model questionnaires
  • Testing (cognitive and field)
  • Measurement errors

Data collection modes (current and future):

  • CAWI in multi-mode data collection
  • CATI in multi-mode data collection
  • Multiple mode designs
  • Dependent interviewing
  • Proxy answering
  • Integrating administrative data
  • Wave approach for yearly /biennal detailed topics and regular 8-year / ad hoc topics
  • Recording information on the drop-out reason
  • Simplified rules for old and disabled people

Field work:

  • Quality checks
  • Fieldwork monitoring
  • Data collection from disadvantaged groups or areas (e.g. ethnic minorities, migrants, people living in areas which are difficult to reach etc.)
  • Interviewer training
  • Methods for decreasing non-response