Enhancing the Demand for Labour survey by including skills from online job advertisements using model-assisted calibration

  • Maciej Eryk Beręsewicz Department of StatisticsFaculty of Informatics and Electronic EconomyPoznań University of Economics and Business https://orcid.org/0000-0002-8281-4301
  • Greta Białkowska Statistical Office in Poznań, Poland
  • Krzysztof Marcinkowski
  • Magdalena Maślak
  • Piotr Opiela
  • Pawlukiewicz Katarzyna
  • Robert Pater University of Information Technology and Management in Rzeszow
Keywords: big data, non-probability samples, job vacancies, web-scrapping, data integration

Abstract

In the article we describe an enhancement to the Demand for Labour (DL) survey con- ducted by Statistics Poland, which involves the inclusion of skills obtained from online job advertisements. The main goal is to provide estimates of the demand for skills (competences), which is missing in the DL survey. To achieve this, we apply a data integration approach com- bining traditional calibration with the LASSO-assisted approach to correct coverage and selec- tion error in the online data. Faced with the lack of access to unit-level data from the DL survey, we use estimated population totals and propose a bootstrap approach that accounts for the un- certainty of totals reported by Statistics Poland. We show that the calibration estimator assisted with LASSO outperforms traditional calibration in terms of standard errors and reduces rep- resentation bias in skills observed in online job ads. Our empirical results show that online data significantly overestimate interpersonal, managerial and self-organization skills while un- derestimating technical and physical skills. This is mainly due to the under-representation of occupations categorised as Craft and Related Trades Workers and Plant and Machine Operators and Assemblers.

Author Biographies

Greta Białkowska, Statistical Office in Poznań, Poland
Former student of Poznań University of Economics and Business, currently employed at Statistical Office in Poznań, Poland. 
Krzysztof Marcinkowski
Former student of Poznan University of Economics and Business
Magdalena Maślak
Former student of Poznań University of Economics and Business, Poland.
Piotr Opiela
Former student of Poznań University of Economics and Business, Poland.
Pawlukiewicz Katarzyna
Former student of Poznań University of Economics and Business, Poland.
Published
2021-01-15
How to Cite
Beręsewicz, M. E., Białkowska, G., Marcinkowski, K., Maślak, M., Opiela, P., Katarzyna, P., & Pater, R. (2021). Enhancing the Demand for Labour survey by including skills from online job advertisements using model-assisted calibration. Survey Research Methods, 15(2), 147-167. https://doi.org/10.18148/srm/2021.v15i2.7670
Section
Articles