Cooperation Across Generations: An Experimental Study of Intergenerational Altruism in the Prisoner’s Dilemma

Last registered on March 16, 2026

Pre-Trial

Trial Information

General Information

Title
Cooperation Across Generations: An Experimental Study of Intergenerational Altruism in the Prisoner’s Dilemma
RCT ID
AEARCTR-0018136
Initial registration date
March 14, 2026

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
March 16, 2026, 7:13 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
Macau University of Science and Technology

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2026-04-15
End date
2026-06-30
Secondary IDs
H40
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We design a laboratory experiment to test whether intergenerational altruism can sustain cooperation in a one-shot Prisoner’s Dilemma embedded in an overlapping generations (OLG) structure. In each generation, two players from rival “families” play a Prisoner’s Dilemma; each player’s payoff depends on both their own earnings and those of their successor in the next generation, weighted by an altruism parameter α. A sharp theoretical prediction emerges: mutual cooperation is a subgame perfect equilibrium if and only if α exceeds a threshold determined by the game’s payoffs. We implement a 3×3 factorial design crossing three communication protocols—no communication, partner communication, and parent-child plus partner communication—with three altruism levels (α ∈ {0.4, 1.0, 1.6}) spanning the sub-threshold, boundary, and
supra-threshold regimes. Our design bridges the infinitely repeated games literature (Dal Bó, 2005; Dal Bó and Fréchette, 2018) and the OLG tradition (Samuelson, 1958), offering the first experimental test of cooperation sustained not by the “shadow of the future” but by the “shadow of posterity.”
External Link(s)

Registration Citation

Citation
Pang, Yu. 2026. "Cooperation Across Generations: An Experimental Study of Intergenerational Altruism in the Prisoner’s Dilemma." AEA RCT Registry. March 16. https://doi.org/10.1257/rct.18136-1.0
Experimental Details

Interventions

Intervention(s)
We implement a 3 × 3 factorial design that crosses three communication protocols with three altruism levels. The communication treatments vary the channels through which information and promises can flow: in Treatment 1 (T1), no communication is permitted; in Treatment 2 (T2), partners can exchange messages before playing the Prisoner’s Dilemma; and in Treatment 3 (T3), both parent-child and partner communication are allowed. The altruism treatments vary the weight α that each player places on her successor’s earnings: α = 0.4, which lies below the cooperation threshold; α = 1.0, which sits at the theoretical boundary; and α = 1.6, which lies well above the threshold. This design generates clean comparative statics. If the theory is correct, cooperation should be rare at α = 0.4 regardless of communication, since defection strictly dominates. At α = 1.6, cooperation is an equilibrium outcome, and communication — particularly the combination of parent-child and partner communication in T3 — should help subjects coordinate on it. The boundary case α = 1.0 is especially informative: cooperation is theoretically possible but fragile, making equilibrium selection pivotal and communication potentially decisive.
Intervention Start Date
2026-04-19
Intervention End Date
2026-05-30

Primary Outcomes

Primary Outcomes (end points)
Altruism of future generations leads to cooperation of current generation.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We design a laboratory experiment to test whether intergenerational altruism can sustain cooperation in a one-shot Prisoner’s Dilemma embedded in an overlapping generations (OLG) structure. In each generation, two players from rival “families” play a Prisoner’s Dilemma; each player’s payoff depends on both their own earnings and those of their successor in the next generation, weighted by an altruism parameter α. A sharp theoretical prediction emerges: mutual cooperation is a subgame perfect equilibrium if and only if α exceeds a threshold determined by the game’s payoffs. We implement a 3×3 factorial design crossing three communication protocols—no communication, partner communication, and parent-child plus partner communication—with three altruism levels (α ∈ {0.4, 1.0, 1.6}) spanning the sub-threshold, boundary, and supra-threshold regimes. Our design bridges the infinitely repeated games literature (Dal Bó, 2005; Dal Bó and Fréchette, 2018) and the OLG tradition (Samuelson, 1958), offering the first experimental test of cooperation sustained not by the “shadow of the future” but by the “shadow of posterity.”
Experimental Design Details
Not available
Randomization Method
Each experimental session involves 42 subjects organized into 12 families, paired into 6 groups of two rival families. Within each family, a lineage of players succeeds one another across generations: the “child” observes her “parent’s” experience, inherits the family’s position, and then plays a one-shot Prisoner’s Dilemma against the child from the rival family. This overlapping generations structure ensures that the intergenerational linkage is salient and that the consequences of parental choices are visible to the next generation. The design thus captures the essential features of intergenerational cooperation — generational turnover, parental concern for offspring, and the transmission of strategic environments — in a controlled laboratory setting.
Randomization Unit
9 experimental sessions in the laboratory of Wuhan University.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
600 students
Sample size: planned number of observations
2000
Sample size (or number of clusters) by treatment arms
1000
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number