 Evidence-Based Policies and Data Quality – What is Missing?Ralf Münnich ()
A chapter in Measuring International Economics, 2025, pp 181-187 from Springer Abstract: 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. Keywords: Data Quality; Fit-for-Purpose; Evidence; New Data; European Master in Official Statistics; Raising Awareness; Education (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-77193-4_13 Ordering information: This item can be ordered from DOI: 10.1007/978-3-031-77193-4_13 Access Statistics for this chapter More chapters in Springer Books from Springer |
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