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<title>Diskussionsbeiträge Jahrgang 2025</title>
<link>https://refubium.fu-berlin.de/handle/fub188/46135</link>
<description/>
<pubDate>Tue, 28 Apr 2026 00:43:03 GMT</pubDate>
<dc:date>2026-04-28T00:43:03Z</dc:date>
<item>
<title>Asymmetric Inflation Target Credibility</title>
<link>https://refubium.fu-berlin.de/handle/fub188/46130</link>
<description>Asymmetric Inflation Target Credibility
Coleman, Winnie; Nautz, Dieter
This paper investigates the determinants of inflation target credibility (ITC)&#13;
using a unique survey we designed to measure the credibility of the ECB’s&#13;
inflation target. Containing over 200,000 responses from German consumers&#13;
collected between January 2019 and November 2024, our dataset enables us&#13;
to estimate the effect of both positive and negative deviations of inflation&#13;
from the 2% target on ITC. In contrast to the symmetry of the ECB’s inflation&#13;
target, we find that ITC is asymmetric, i.e. consumers respond significantly&#13;
and plausibly signed to target deviations only when inflation is above target.&#13;
When inflation is below target, however, the credibility of the inflation&#13;
target cannot be improved by raising the inflation rate to close the gap.
</description>
<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://refubium.fu-berlin.de/handle/fub188/46130</guid>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Behavioral interventions, tax compliance and consequences on inequality</title>
<link>https://refubium.fu-berlin.de/handle/fub188/47703</link>
<description>Behavioral interventions, tax compliance and consequences on inequality
Deparade, Darius; Jarmolinski, Lennart; Mohr, Peter N.C.
Tax evasion is associated with high social and fiscal costs. To address these,&#13;
many governments employ behavioral interventions given their low implementation&#13;
costs and high potential efficiency. Although many studies report positive&#13;
effects of behavioral interventions to combat tax evasion, the effect sizes are often&#13;
quite small. This may result from the partial cancellation of heterogeneous&#13;
effects and prompts calls in the literature for individualized or group-tailored&#13;
interventions. While classification approaches for taxpayer types exist, their&#13;
practical implementation is limited by data availability. We systematically&#13;
review 144 studies conducted between 1996 and 2024 and show that grouptailored&#13;
interventions along key inequality dimensions—gender, income, age,&#13;
and regionality—may not only enhance tax compliance but also help address&#13;
inequality. Furthermore, our heterogeneity analysis shows that intervention&#13;
effectiveness can be enhanced by the incorporation of specific characteristics&#13;
related to framing, intervention frequency, and communication channels. Finally,&#13;
we present a theoretical model to support group-tailored interventions&#13;
and thus provide policymakers with an efficient strategy to combat tax evasion.
</description>
<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://refubium.fu-berlin.de/handle/fub188/47703</guid>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Datenräume in der digitalen Pflege</title>
<link>https://refubium.fu-berlin.de/handle/fub188/50523</link>
<description>Datenräume in der digitalen Pflege
Ugur, Firdevs; Kari, Arthur; Gersch, Martin
Die Arbeit entwickelt eine Architektur für einen EHDS-konformen Datenraum, der sektorübergreifende&#13;
Forschungsdatenkooperationen im Gesundheitswesen unterstützt. Ausgangspunkt&#13;
ist die Analyse rechtlicher, organisatorischer und technischer Anforderungen an&#13;
Datennutzung und -austausch, die im Kontext fragmentierter IT-Landschaften, heterogener&#13;
Prozesse und datenschutzrechtlicher Unsicherheiten besondere Bedeutung haben. Methodisch&#13;
folgt die Arbeit dem Ansatz des Action Design Research und verbindet theoretische Meta-&#13;
Anforderungen mit empirischen Erkenntnissen aus Interviews und Workshops im Projekt&#13;
CaringS. Ergebnis ist ein Wegweiser, der Konsortien in fünf Phasen von der gemeinsamen&#13;
Vision über die Identifikation relevanter Datenquellen und Fragen der Data-Governance bis&#13;
zur technischen Architektur und langfristigen Nutzung begleitet. Wissenschaftlich leistet&#13;
die Arbeit einen Beitrag zur Entwicklung von Gestaltungsprinzipien für Datenräume, die&#13;
Zielkonflikte zwischen Generalisierbarkeit und Praxistauglichkeit sichtbar machen. Praktisch&#13;
stellt sie ein anwendbares Instrument bereit, das EHDS-Vorgaben in konkrete Arbeitsschritte&#13;
übersetzt und so Forschung und Versorgung verbindet.; The starting point is an analysis of the&#13;
legal, organizational, and technical requirements for data use and exchange, which are&#13;
particularly important in the context of fragmented IT landscapes, heterogeneous processes,&#13;
and uncertainties regarding data protection laws. Methodologically, the work follows the&#13;
action design research approach and combines theoretical meta-requirements with empirical&#13;
findings from interviews and workshops in the CaringS project. The result is a guide that&#13;
accompanies consortia through five phases, from a shared vision to the identification of&#13;
relevant data sources and data governance issues to technical architecture and long-term use.&#13;
Scientifically, the work contributes to the development of design principles for data spaces&#13;
that highlight conflicts of interest between generalizability and practicality. In practical&#13;
terms, it provides an applicable tool that translates EHDS requirements into concrete work&#13;
steps, thus linking research and healthcare.
</description>
<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://refubium.fu-berlin.de/handle/fub188/50523</guid>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Divisive by design</title>
<link>https://refubium.fu-berlin.de/handle/fub188/48290</link>
<description>Divisive by design
Prummer, Anja; Nava, Francesco
We study a principal who allocates a good to agents with private, independently&#13;
distributed values through an optimal mechanism. The principal can strategically&#13;
shape these value distributions by modifying the good’s features, which affect&#13;
agents’ valuations. Our analysis reveals that optimal designs are frequently&#13;
divisive—creating goods that appeal strongly to specific agents or agent types while&#13;
being less valued by others. These divisive designs reduce information rents and&#13;
increase total surplus, at the expense of competition. Even when total surplus is&#13;
constrained, some divisiveness in designs remains optimal.
</description>
<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://refubium.fu-berlin.de/handle/fub188/48290</guid>
<dc:date>2025-01-01T00:00:00Z</dc:date>
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