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  <title>EconStor Collection:</title>
  <link rel="alternate" href="https://hdl.handle.net/10419/54351" />
  <subtitle />
  <id>https://hdl.handle.net/10419/54351</id>
  <updated>2026-04-28T10:14:56Z</updated>
  <dc:date>2026-04-28T10:14:56Z</dc:date>
  <entry>
    <title>An axiomatization of the random priority rule</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/290390.2" />
    <author>
      <name>Basteck, Christian</name>
    </author>
    <id>https://hdl.handle.net/10419/290390.2</id>
    <updated>2025-09-26T08:03:33Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: An axiomatization of the random priority rule
Authors: Basteck, Christian
Abstract: We study the problem of assigning indivisible objects to agents where each is to receive at most one. To ensure fairness in the absence of monetary transfers, we consider random assignments. Random Priority, also known as Random Serial Dictatorship, is characterized by equal-treatment-of-equals, ex-post efficiency and probabilistic monotonicity – whenever preferences change so that a given deterministic assignment is ranked higher by all agents, the probability of that assignment arising should not decrease. Probabilistic monotonicity implies strategy-proofness for random assignment problems and is equivalent to it on the universal domain of strict preferences; for deterministic rules it coincides with Maskin-monotonicity.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Preferences regarding behavioral policy: Attitudes toward sugary beverage taxes in the US</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/328006" />
    <author>
      <name>König, Tobias</name>
    </author>
    <author>
      <name>Schmacker, Renke</name>
    </author>
    <id>https://hdl.handle.net/10419/328006</id>
    <updated>2025-10-09T07:53:58Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Preferences regarding behavioral policy: Attitudes toward sugary beverage taxes in the US
Authors: König, Tobias; Schmacker, Renke
Abstract: Using surveys and experiments, we provide evidence on how people think about and justify sugar-sweetened-beverage (SSB) taxes, a widely discussed behavioral policy intervention. We show that motives to correct internalities and behavioral biases impact policy preferences almost as much as standard externality reasoning. However, antipaternalistic attitudes explain why many people oppose SSB taxes although they acknowledge the relevance of behavioral biases. We demonstrate that instructional explanations about how behavioral SSB taxes work significantly increase support for such taxes. By contrast, simple information feedback regarding the statistical prevalence of internalities and externalities has no effect. Our findings suggest that the nature of information provision-particularly explaining a policy's goals and mechanisms-is crucial for enhancing its acceptability.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Gratitude in fundraising: Do "thank you in advance" and handwritten thank-you notes impact fundraising success?</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/330305" />
    <author>
      <name>Adena, Maja</name>
    </author>
    <author>
      <name>Huck, Steffen</name>
    </author>
    <author>
      <name>Neyse, Levent</name>
    </author>
    <id>https://hdl.handle.net/10419/330305</id>
    <updated>2025-10-31T09:25:26Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Gratitude in fundraising: Do "thank you in advance" and handwritten thank-you notes impact fundraising success?
Authors: Adena, Maja; Huck, Steffen; Neyse, Levent
Abstract: While almost all charities rely on a set of donor appreciation strategies, their effectiveness for the success of fundraising campaigns is underresearched. Through two preregistered field studies conducted in collaboration with a leading German opera house (N=10,000), we explore the significance of expressing gratitude and examine two different approaches to doing so. Our first study investigates the impact of a "thank you in advance" statement in fundraising letters, a common strategy among fundraisers. In the second study, we explore the effectiveness of handwritten thank-you postcards versus printed postcards, shedding light on the roles of personalization and handwriting in donor appeals. Our findings challenge conventional wisdom, revealing that neither "thank you in advance" nor handwritten thank-you notes significantly affect donor contributions.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>AI tutoring enhances student learning without crowding out reading effort</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/335027" />
    <author>
      <name>Fischer, Mira</name>
    </author>
    <author>
      <name>Rau, Holger A.</name>
    </author>
    <author>
      <name>Rilke, Rainer Michael</name>
    </author>
    <id>https://hdl.handle.net/10419/335027</id>
    <updated>2026-01-17T09:08:38Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: AI tutoring enhances student learning without crowding out reading effort
Authors: Fischer, Mira; Rau, Holger A.; Rilke, Rainer Michael
Abstract: We study how AI tutoring affects learning in higher education through a randomized experiment with 334 university students preparing for an incentivized exam. Students either received only textbook material, restricted access to an AI tutor requiring initial independent reading, or unrestricted access throughout the study period. AI tutor access raises test performance by 0.23 standard deviations relative to control. Surprisingly, unrestricted access significantly outperforms restricted access by 0.21 standard deviations, contradicting concerns about premature AI reliance. Behavioral analysis reveals that unrestricted access fosters gradual integration of AI support, while restricted access induces intensive bursts of prompting that disrupt learning flow. Benefits are heterogeneous: AI tutors prove most effective for students with lower baseline knowledge and stronger self-regulation skills, suggesting that seamless AI integration enhances learning when students can strategically combine independent study with targeted support.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
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