Handbook on Measuring Digital Platform Employment and Work

image of Handbook on Measuring Digital Platform Employment and Work

National Statistical Offices face a growing policy demand for better statistics on digital platform employment and work. New statistical definitions are needed to avoid undercounting the number of people involved in these jobs. In addition, new sources of data, including non-official ones, may be needed to meet the statistical challenges of measuring digital platform employment and work. The OECD, the International Labour Organisation and the European Commission have joined forces to produce this Handbook on Measuring Digital Platform Employment and Work, which assesses measurement options and provides first recommendations on these issues. The Handbook first proposes a general definition of digital platform work and a conceptual framework that helps identify the key features of digital platform employment and work, which statisticians should bear in mind when designing their research objectives and operational protocol. The Handbook then reviews the main statistical vehicles used for measuring digital platform employment, and discusses previous statistical initiatives by National Statistical Offices through the lens of its conceptual framework.


Measurement recommendations

This chapter describes the statistical initiatives of different institutions that undertook measurement of digital platform employment, in order to assess it and provide recommendations for the future. As most of these experiments do not rely on established methodologies, this chapter is a contribution to build a shared measurement framework based on common vocabulary, common definitions and a common understanding of the phenomenon. In practice, a template was provided to different members of the Technical Expert Group in order to harmonise their contributions. Statistical experiments are described along the following dimensions: i) original purpose of the initiative; ii) reference population and sampling; iii) other relevant survey features (e.g. time references, data collection mode); iv) implied operational definition; v) obtained goals and lessons learned. Finally, the chapter distils some recommendations drawn from these experiments that should guide future statistical endeavours in this area.


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