Arbeitspapier

Student performance and loss aversion

In this paper, we match data on student performance in a multiple-choice exam with data on student risk preferences that are extracted from a classroom experiment. We find that more-loss-averse students leave more questions unanswered and perform worse in the multiple-choice exam when giving an incorrect answer is penalized compared to not answering. We provide evidence that loss aversion parameters extracted from lottery choices in a controlled experiment have predictive power in a field environment of decision making under uncertainty. Furthermore, the degree of loss aversion appears to be persistent over time, as the experiment was conducted three months prior to the exam. We also find important differences across genders; they are partly explained by differences in loss aversion.

Sprache
Englisch

Erschienen in
Series: Discussion Paper ; No. 182

Klassifikation
Wirtschaft
Design of Experiments: Laboratory, Individual
Microeconomic Behavior: Underlying Principles
Consumer Economics: Theory
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Thema
Loss Aversion
Decision Making under Uncertainty
Multiple Choice

Ereignis
Geistige Schöpfung
(wer)
Karle, Heiko
Engelmann, Dirk
Peitz, Martin
Ereignis
Veröffentlichung
(wer)
Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition
(wo)
München und Berlin
(wann)
2019

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Karle, Heiko
  • Engelmann, Dirk
  • Peitz, Martin
  • Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition

Entstanden

  • 2019

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