Using modern technology for improving establishment statistics
ENBES - The European Network for Better Establishment Statistics - is announcing the call for papers and participation for the European Establishment Statistics Workshop 2019 (EESW19), to be held on the premises of Bizkaia Aretoa building, in Bilbao, Spain, on 24-27 September 2019, hosted by the the Basque Statistical Office (EUSTAT). The traditional two-and-a-half day workshop (Wednesday to Friday) is this time preceded by a day dedicated to short courses (Tuesday).
Continuing in the traditions of its preceding five events, EESW19 is devoted to furthering the understanding of topics in designing, collecting, analysing and using statistics about and for businesses and other organisational entities. EESW19 is aiming to continue to be a prime European venue for official statistics methodologists, academic researchers and private sector professionals in the fields of business, economic and other areas of establishment statistics to exchange experiences, share new methods and findings, learn from each other, and create opportunities for deeper collaboration.
Under a broad heading of Using modern technology for improving establishment statistics, EESW19 welcomes contributions from methodologists, academic researchers and private sector professionals on all topics related to statistics about and for businesses and other organisational entities: sample design, data collection, response process, editing and imputation, estimation, modelling, quality assessment, data presentation and dissemination, metadata and process data for establishment statistics, cross-national statistics, and similar. However, we especially invite contributions and considerations on new developments in these overarching areas, which can contribute to addressing some emerging research questions:
Development and implementation of electronic communication
- How to reach respondents in businesses electronically?
- How to communicate with respondents in electronic questionnaires?
- How is electronic data exchange changing data collection from businesses?
- How to best communicate with users of establishment statistics?
- How to communicate quality of establishment statistics?
Making best use of administrative and alternative data
- What are the main developments in methodology related to administrative data?
- How to tackle unit errors, coverage errors and measurement errors in administrative data?
- How to improve data collection (including data forms) underlying administrative data?
- How to combine administrative data with other sources?
- How to integrate several administrative sources for production of establishment statistics?
- What machine learning techniques have been successfully applied for establishment statistics purposes?
Speeding up production
- How to achieve timely response and/or reduce costly nonresponse follow-up?
- How do you streamline validation and imputation?
- How can nowcasting best be used in establishment statistics, and what sources and methods are available?
- How to communicate trade-offs between timeliness and other quality measures?
To organise a session on one of these topics, or to contribute a paper for such a session, there is still time to get in touch with Mojca Bavdaž (mojca.bavdaz[at]ef.uni-lj.si), Paul Smith (p.a.smith[at]soton.ac.uk) or Arnout van Delden (a.vandelden[at]cbs.nl) to discuss its suitability for the programme. You can also contact them with other proposals for session topics and papers, or if you would like to hear about and get connected with other colleagues possibly working on a research topic that you are interested in.
To submit a formal application for presentation, please use online application form, with a deadline of March 31, 2019. At the time of registering, please also send an abstract of max. 300 words - as an attachment in pdf or doc format - to eesw[at]enbes.org, with the subject line the same as the abstract title.
Authors of all accepted abstracts will be requested to submit a draft paper (3-5 pages long), to be circulated to the participants by September 1, 2019, to aid their preparations. Template of author's liking may be used for the paper. Pdfs of final papers will be made available to general audience after the workshop, by publishing them in the ENBES scientific repository.
Through the workshop format, EESW19 will encourage deep exchange between authors and audience, through forms and timing of its activities. The workshop will offer:
- paper sessions,
- panel session
- group discussions,
- informal occasions for exchanges.
Those interested to present and/or participate in the workshop are asked to fill in an online application form accessible by following this link not later than on March 31, 2019. To get in touch with the Scientific Committee to discuss potential contributions, please see paragraph about contacting Scientific Committee members, above.
The number of participants is limited to 55. Priority will be given to presenting participants. We will be discouraging a large number of participants from the same institution, country, or similar type of common environment. Other things equal, the places will be allocated on a first come, first served basis.
Each participant is expected to cover her or his own travel and accommodation expenses.
Before the workshop, presenters are required to submit a short paper (3-5 pages) which is read in advance by all workshop participants. The paper's format should be a pdf document, produced by word processor of the authors' liking (there are no set requirements for font type and size, margins, etc).
More details concerning the workshop will progressively be made available at these pages. To contact Scientific Committee members, you may use their individual email addresses, or the event email address eesw[at]enbes.org.
We are hoping that you are interested to participate in the EESW19 workshop, and that we will meet you in Bilbao, Spain, in September 2019.
Mojca Bavdaž, University of Ljubljana, Slovenia
Arnout van Delden, Statistics Netherlands
Paul Smith, University of Southampton, UK
Fernando Tusell, University of the Basque Country
Thomas Zimmermann, Destatis, Germany