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Evidence-Based Policies and Data Quality – What is Missing?

In: Measuring International Economics

Author

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  • Ralf Münnich

    (Economic and Social Statistics, Universität Trier)

Abstract

Official statistics institutions aim to collect data of high quality. In general, guidelines are available that help in achieving a high quality of data and, as a result, a high quality of statistics. However, in times of rising rates of nonresponse, alternative data collection methods come into play. This raises the question of whether statistics drawn from data collected via alternative methods still fulfil sufficient standards of quality. A related question concerns quality standards that are to be measured with regard to specific content. The aim of this paper is to provide an overview of modern challenges in the use of data while taking consideration of high quality standards. This is especially important in the context of data used as evidence for policy purposes or legislative processes. Special emphasis is placed on raising awareness of quality considerations as well as data and statistical literacy and its integration into education and life-long learning.

Suggested Citation

  • Ralf Münnich, 2025. "Evidence-Based Policies and Data Quality – What is Missing?," Springer Books, in: Ursula Schipper & Robert Kirchner & Jens Walter (ed.), Measuring International Economics, pages 181-187, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-77193-4_13
    DOI: 10.1007/978-3-031-77193-4_13
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