Publications
by members of
Universität Mannheim → Sonderforschungsbereich 884 - Politische Ökonomie von Reformen
University of Mannheim → Collaborative Research Center 884 - Political Economy of Reforms
These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. This page is updated in the first days of each month.| Working papers | Journal articles |
Working papers
2017
- Bach, Ruben L. & Eckman, Stephanie, 2017, "Does participating in a panel survey change respondents' labor market behavior?," IAB-Discussion Paper, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], number 201715.
Journal articles
2021
- Haas Georg-Christoph & Eckman Stephanie & Bach Ruben, 2021, "Comparing the Response Burden between Paper and Web Modes in Establishment Surveys," Journal of Official Statistics, Paradigm, volume 37, issue 4, pages 907-930, December, DOI: 10.2478/jos-2021-0039.
- Eckman Stephanie & Bach Ruben, 2021, "Panel Conditioning in the U.S. Consumer Expenditure Survey," Journal of Official Statistics, Paradigm, volume 37, issue 1, pages 53-69, March, DOI: 10.2478/jos-2021-0003.
2020
- Ruben L Bach & Alexander Wenz, 2020, "Studying health-related internet and mobile device use using web logs and smartphone records," PLOS ONE, Public Library of Science, volume 15, issue 6, pages 1-20, June, DOI: 10.1371/journal.pone.0234663.
- Bach, Ruben L. & Eckman, Stephanie, 2020, "Rotation group bias in reporting of household purchases in the U.S. Consumer Expenditure Survey," Economics Letters, Elsevier, volume 187, issue C, DOI: 10.1016/j.econlet.2019.108889.
2019
- Ruben L. Bach & Stephanie Eckman, 2019, "Participating in a panel survey changes respondents’ labour market behaviour," Journal of the Royal Statistical Society Series A, Royal Statistical Society, volume 182, issue 1, pages 263-281, January, DOI: 10.1111/rssa.12367.
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