On the Validity of Probabilistic (and Cost-Saving) Incentives in Dictator Games: A Systematic Test

41 Pages Posted: 13 Nov 2017 Last revised: 18 Jan 2019

See all articles by Gari Walkowitz

Gari Walkowitz

Technische Universität München (TUM) - School of Governance - Hochschule für Politik

Date Written: January 17, 2019

Abstract

Abstract Driven by methodological concerns, theoretical considerations, and previous evidence, we systematically test the validity of common dictator-game variants with probabilistic incentives. We include four approaches and compare them to a standard dictator game: involving fewer receivers than dictators; paying only some subjects or decisions; role uncertainty at the time of the transfer decision. We also relate the dictator-game variants to established complementary individual difference measures of pro-sociality: social value orientation, personal values, a donation to charity, and Big Five personality factors. Our data show that dictator behavior is quite sensitive to the applied methods. The standard version of the dictator game has the highest validity. Involving fewer receivers than dictators and not paying for all decisions yields comparably valid results. By contrast, when only some subjects are paid or when subjects face uncertainty about their final player role, the expected associations with complementary pro-sociality measures are distorted. Under role uncertainty, generosity is biased upwards. We conclude that the validity of the dictator-game outcomes is highly sensitive to the applied methods.

Keywords: Dictator Game, Costs, Incentives, Unbalanced Matching, Random Payment, Role Uncertainty, Social Value Orientation, Personal Values, Donation, Methodology, Experiment

JEL Classification: C72, C91, D03

Suggested Citation

Walkowitz, Gari, On the Validity of Probabilistic (and Cost-Saving) Incentives in Dictator Games: A Systematic Test (January 17, 2019). Available at SSRN: https://ssrn.com/abstract=3068380 or http://dx.doi.org/10.2139/ssrn.3068380

Gari Walkowitz (Contact Author)

Technische Universität München (TUM) - School of Governance - Hochschule für Politik ( email )

Richard-Wagner-Str.1
Munich, 80333
Germany

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