Replication material for: How Norms Emerge from Conventions (and Change)

Replication material for: How Norms Emerge from Conventions (and Change)


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Metadata for the publication


Authors

Wojtek Przepiorka (University of Bern, Switzerland)
Aron Szekely (Collegio Carlo Alberto, Turin, Italy)
Giulia Andrighetto (Institute for Cognitive Sciences and Technologies, Rome, Italy)
Andreas Diekmann (ETH Zürich, Switzerland)
Luca Tummolini (Institute for Cognitive Sciences and Technologies, Rome, Italy)

Publication year

2022

Abstract

Social norms regulate our behavior in a variety of mundane and far-reaching contexts, from tipping at the restaurant to social distancing during a pandemic. However, how social norms emerge, persist, and change is still poorly understood. Here the authors investigate experimentally whether spontaneously emerging behavioral regularities (i.e., conventions) gain normativity over time and, if so, whether their normative underpinning makes them resistant to changes in economic incentives. To track the coevolution of behavior and normativity, the authors use a set of measures to elicit participants’ first- and second-order normative beliefs and their (dis)approval of other participants’ behaviors. The authors find that even in the limited duration of their lab experiment, conventions gain normativity that makes these conventions resistant to change, especially if they promote egalitarian outcomes and the change in economic incentives is relatively small. These findings advance our understanding of how cognitive, social and economic mechanisms interact in bringing about social change.

Keywords

Convention
Social norm
Repeated game
Volunteer’s dilemma
Normative expectations
Social change

Geolocation

Zürich, Switzerland


Metadata for the replication material


DOI of the replication material
Publication year

2026

How to cite

Replication material for: Przepiorka, W., Szekely, A., Andrighetto, G., Diekmann, A., & Tummolini, L. (2026). How Norms Emerge from Conventions (and Change). FORS. https://doi.org/10.25597/fatg-wt31

Description of the material

- data.dta: Stata data file comprising 11520 observations and 83 labeled variables;
- analysis.do: Documented Stata syntax file. Running the syntax on the data reproduces the results, figures and tables reported in the paper.

Remarks

The data were produced in a behavioral, computerized laboratory experiment conducted in the Decision Science Lab (DeSciL) of ETH Zürich.

Software information : Stata 14 and higher

Publisher

FORS - Swiss Centre of Expertise in the Social Sciences

Usage licence

CC BY-NC-ND – Attribution – NonCommercial – NoDerivatives 4.0 International

Publication

No. 24