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Response Burden in Official Business Surveys: Measurement and Reduction Practices of National Statistical Institutes

Author

Listed:
  • Bavdaž Mojca

    (University of Ljubljana, Faculty of Economics, Kardeljeva pl. 17, SI-1000 Ljubljana, Slovenia.)

  • Giesen Deirdre

    (Statistics Netherlands, Postbus 4481, 6401 CZ Heerlen, The Netherlands.)

  • Černe Simona Korenjak

    (University of Ljubljana, Faculty of Economics, Kardeljeva pl. 17, SI-1000 Ljubljana, Slovenia.)

  • Löfgren Tora

    (Statistics Norway, Pb 8131 Dep, NO-0033 Oslo.)

  • Raymond-Blaess Virginie

    (Sogeti, Route de Longwy 36, L-8080 Bertrange, Luxembourg.)

Abstract

Response burden in business surveys has long been a concern for National Statistical Institutes (NSIs) for three types of reasons: political reasons, because response burden is part of the total administrative burden governments impose on businesses; methodological reasons, because an excessive response burden may reduce data quality and increase data-collection costs; and strategic reasons, because it affects relations between the NSIs and the business community. This article investigates NSI practices concerning business response burden measurement and reduction actions based on a survey of 41 NSIs from 39 countries. Most NSIs monitor at least some burden aspects and have implemented some actions to reduce burden, but large differences exist between NSIs’ methodologies for burden measurement and actions taken to reduce burden. Future research should find ways to deal with methodological differences in burden conceptualization, operationalization, and measurement, and provide insights into the effectiveness and efficiency of burden-reduction actions.

Suggested Citation

  • Bavdaž Mojca & Giesen Deirdre & Černe Simona Korenjak & Löfgren Tora & Raymond-Blaess Virginie, 2015. "Response Burden in Official Business Surveys: Measurement and Reduction Practices of National Statistical Institutes," Journal of Official Statistics, Sciendo, vol. 31(4), pages 559-588, December.
    • Handle: RePEc:vrs:offsta:v:31:y:2015:i:4:p:559-588:n:3
    DOI: 10.1515/jos-2015-0035
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    Cited by:

    1. Rebecca J. Hutchinson, 2019. "Improving Retail Trade Data Products Using Alternative Data Sources," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 99-114, National Bureau of Economic Research, Inc.

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