The ifo Education Survey 2014–2021: A New Dataset on Public Preferences for Education Policy in Germany

Freundl Vera, Grewenig Elisabeth, Kugler Franziska, Lergetporer Philipp, Schüler Ruth, Wedel Katharina, Katharina Werner, Wirth Olivia and Ludger Woessmann
Additional contact information
Freundl Vera: ifo Institute at the University of Munich, Munich, Germany
Grewenig Elisabeth: PricewaterhouseCoopers, Frankfurt, Germany
Kugler Franziska: ifo Institute at the University of Munich, Munich, Germany
Lergetporer Philipp: Technical University of Munich, Heilbronn, Germany
Schüler Ruth: German Economic Institute (IW), Cologne, Germany
Wedel Katharina: ifo Institute at the University of Munich, Munich, Germany
Wirth Olivia: University of Passau, Passau, Germany

Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2023, vol. 243, issue 6, 699-710

Abstract: The ifo Education Survey is a representative opinion survey of the German voting-age population on education topics that has been conducted annually since 2014. It covers public preferences on a wide range of education policy issues ranging from early childhood education, schools, and apprenticeships to university education and life-long learning. The dataset comprises several survey experiments that facilitate investigating the causal effects of information provision, framing, and question design on answering behavior. This paper gives an overview of the survey content and methodology, describes the data, and explains how researchers can access the dataset of over 4000 participants per wave.

Keywords: education; policy; survey; experiment; public opinion; political economy; Germany (search for similar items in EconPapers)
JEL-codes: D72 H52 I28 (search for similar items in EconPapers)
Date: 2023
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https://doi.org/10.1515/jbnst-2022-0051 (text/html)

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Working Paper: The ifo Education Survey 2014–2021: A New Dataset on Public Preferences for Education Policy in Germany (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:jns:jbstat:v:243:y:2023:i:6:p:699-710:n:5

DOI: 10.1515/jbnst-2022-0051

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