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Johannes Abeler

Researcher at University of Oxford

Publications -  38
Citations -  3732

Johannes Abeler is an academic researcher from University of Oxford. The author has contributed to research in topics: Wage & Incentive. The author has an hindex of 22, co-authored 37 publications receiving 2918 citations. Previous affiliations of Johannes Abeler include Institute for the Study of Labor & University of Nottingham.

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Reference Points and Effort Provision

TL;DR: The authors found that effort provision is significantly different between treatments in the way predicted by models of expectation-based reference-dependent preferences: if expectations are high, subjects work longer and earn more money than if expectations were low.
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Reference Points and Effort Provision

TL;DR: This paper found that effort provision is significantly different between treatments in the way predicted by models of expectation-based reference-dependent preferences: if expectations are high, subjects work longer and earn more money than if expectations were low.
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Preferences for Truth‐Telling

TL;DR: The authors show that people lie surprisingly little and that a preference for being seen as honest is one of the main motivations for truth-telling in economics, psychology, and sociology, and formalize a wide range of potential explanations for the observed behavior and identify testable predictions that can distinguish between the models.
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Representative evidence on lying costs

TL;DR: This article measured the extent of lying costs among a representative sample of the German population by calling them at home and found that participants have a clear monetary incentive to misreport, misreporting cannot be detected, reputational concerns are negligible and altruism, efficiency concerns or conditional cooperation cannot play a role.
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Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study.

TL;DR: Investigation of the user acceptability of a contact-tracing app in five countries hit by the COVID-19 pandemic found strong support for the app under both regimes, in all countries, across all subgroups of the population, and irrespective of regional-level CO VID-19 mortality rates.