Data and Code for: Law and Norms: Empirical Evidence

Principal Investigator(s):  View help for Principal Investigator(s) Tom Lane, University of Nottingham Ningbo China; Daniele Nosenzo, Aarhus University; Silvia Sonderegger, University of Nottingham

Version:  View help for Version V1

Name File Type Size Last Modified
AER_replication_dofile Feb2023.do text/plain 333.2 KB 03/07/2023 08:29:PM
Main Experiment, Sample 1.dta application/x-stata-dta 673.7 KB 01/19/2023 06:45:AM
Main Experiment, Sample 2.dta application/x-stata-dta 55.8 MB 01/19/2023 06:37:AM
Main Experiment, Sample 3, 1st order.dta application/x-stata-dta 688.3 KB 01/19/2023 06:37:AM
Main Experiment, Sample 3, 2nd order.dta application/x-stata-dta 732.2 KB 01/19/2023 06:38:AM
Moderator Analysis Appendix E.dta application/x-stata-dta 11.4 MB 01/19/2023 06:37:AM
README.pdf application/pdf 178.4 KB 03/07/2023 03:43:PM
Robustness Experiment 1, 1st order.dta application/x-stata-dta 165 KB 01/19/2023 06:37:AM
Robustness Experiment 1, 2nd order.dta application/x-stata-dta 328.7 KB 01/19/2023 06:37:AM
Robustness Experiment 1, KW.dta application/x-stata-dta 330.7 KB 01/19/2023 06:37:AM

Project Citation: 

Lane, Tom, Nosenzo, Daniele, and Sonderegger, Silvia. Data and Code for: Law and Norms: Empirical Evidence. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-04-17. https://doi.org/10.3886/E182995V1

Project Description

Summary:  View help for Summary Data and code accompanying the article Law and Norms: Empirical Evidence, American Economic Review

Abstract: A large theoretical literature argues laws exert a causal effect on norms, but empirical evidence remains scant. Using a novel identification strategy, we provide a compelling empirical test of this proposition. We use incentivized vignette experiments to directly measure social norms relating to actions subject to legal thresholds. Our large-scale experiments (n=7000) run in the UK, US and China show that laws can causally influence social norms. Results are robust across different samples and methods of measuring norms, and are consistent with a model of social image concerns where individuals care about the inferences others make about their underlying prosociality.

Scope of Project

Subject Terms:  View help for Subject Terms Social norms; Law; Expressive function of law
JEL Classification:  View help for JEL Classification
      C91 Design of Experiments: Laboratory, Individual
      C92 Design of Experiments: Laboratory, Group Behavior
      D90 Micro-Based Behavioral Economics: General
      K10 Basic Areas of Law: General (Constitutional Law)
      K42 Illegal Behavior and the Enforcement of Law
Geographic Coverage:  View help for Geographic Coverage United Kingdom, China, United States
Collection Date(s):  View help for Collection Date(s) 2017 – 2022
Data Type(s):  View help for Data Type(s) experimental data

Methodology

Unit(s) of Observation:  View help for Unit(s) of Observation Individual

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Published Versions

V1 [2023-04-17]

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