Arbeitspapier

Classical and Belief-Based Gift Exchange Models: Theory and Evidence

We derive, compare, and test the predictions of three models of gift exchange: Classical (CGE); Augmented (AGE) based on unexpected wage surprises and first order beliefs; and Belief-based (BGE) that uses second order beliefs to formally model guilt-aversion. Motivated by Akerlof (1982), we also introduce signals of exogenous industry wage norms, θw, and effort norms, θe. We study the effects on the worker’s optimal effort of exogenous variation in the wage, w, the signals θw, θe, and a signal of firm’s expectations of effort from the worker, s. All three models successfully predict gift exchange (higher effort in response to higher w). The AGE and the CGE models fail to explain the data for the worker’s effort responses to the signals θw, θe, and s. The BGE model successfully explains the data in all these respects. Gift exchange is underpinned by guilt-aversion and a formal modelling of second order conditional beliefs.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 8992

Klassifikation
Wirtschaft
Microeconomic Behavior: Underlying Principles
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
Thema
gift exchange
reciprocity
guilt-aversion
psychological game theory
belief-based models
industry wage norms
industry effort norms

Ereignis
Geistige Schöpfung
(wer)
Dhami, Sanjit
Wei, Mengxing
al-Nowaihi, Ali
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and Ifo Institute (CESifo)
(wo)
Munich
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:45 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

  • Dhami, Sanjit
  • Wei, Mengxing
  • al-Nowaihi, Ali
  • Center for Economic Studies and Ifo Institute (CESifo)

Entstanden

  • 2021

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