Summary information

Study title

Replication files: The emergence of conventions in the repeated volunteer's dilemma: The role of social value orientation, payoff asymmetries and focal points

Creator

Przepiorka, Wojtek ( Utrecht University)
Bouman, Loes ( University of Milano-Bicocca)
de Kwaadsteniet, Erik ( Leiden University)

Study number / PID

10.7802/2557 (GESIS)

10.7802/2557 (DOI)

Data access

Information not available

Series

Not available

Abstract

Conventions are arbitrary rules of behavior that coordinate social interactions. Here we study the effects of individuals' social value orientations (SVO) and situational conditions on the emergence of conventions in the three-person volunteer's dilemma (VOD). The VOD is a step-level collective good game in which only one actor's action is required to produce a benefit for the group. It has been shown that if actors interact in the payoff-symmetric VOD repeatedly, a turn-taking convention emerges, resulting in an equal distribution of payoffs. If the VOD is asymmetric, with one “strong” actor having lower costs of volunteering, a solitary-volunteering convention emerges by which the strong actor volunteers earning less than others. In study 1 we test whether SVO promotes turn-taking and hampers solitary-volunteering. We find that groups with more prosocials engage less in turn-taking and no effect of SVO on the emergence of solitary-volunteering. In study 2 we test whether making one actor focal is sufficient for solitary-volunteering to emerge. We find instead that payoff asymmetry with one strong actor is a necessary precondition. We discuss explanations for our findings and propose directions for future research.

Topics

Not available

Methodology

Data collection period

02/03/2017 - 18/12/2019

Country

Netherlands

Time dimension

Not available

Analysis unit

Not available

Universe

University students and employees

Sampling procedure

Non-probability Sample - Availability Sample

Kind of data

Not available

Data collection mode

Laboratory experiment

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2023

Terms of data access

Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. CC BY-NC-ND 4.0: Attribution - NonCommercial – NoDerivatives (https://creativecommons.org/licenses/by-nc-nd/4.0/deed.de)

Related publications

Not available