Arbeitspapier

Strategic Behavior with Tight, Loose and Polarized Norms

Descriptive norms – the behavior of other individuals in one's reference group – play a key role in shaping individual decisions. When characterizing the behavior of others, a standard approach in the literature is to focus on average behavior. In this paper, we argue both theoretically and empirically that not only averages but also the shape of the whole distribution of behavior can play a crucial role in how people react to descriptive norms. Using a representative sample of the U.S. population, we experimentally investigate how individuals react to strategic environments that are characterized by different distributions of behavior, focusing on the distinction between tight (i.e., characterized by low behavioral variance), loose (i.e., characterized by high behavioral variance), and polarized (i.e., characterized by u-shaped behavior) environments. We find that individuals indeed strongly respond to differences in the variance and shape of the descriptive norm they are facing: loose norms generate greater behavioral variance and polarization generates polarized responses. In polarized environments, most individuals prefer extreme actions – which expose them to considerable strategic risk – to intermediate actions that minimize such risk. Importantly, we also find that relative to tight environments, in polarized and loose environments, personal traits and values play a larger role in determining actual behavior. This provides important insights into how individuals navigate environments that contain strategic uncertainty.

Language
Englisch

Bibliographic citation
Series: CESifo Working Paper ; No. 10233

Classification
Wirtschaft
Design of Experiments: Laboratory, Individual
Microeconomic Behavior: Underlying Principles
Subject
cooperation
descriptive norms
variance
peer effects

Event
Geistige Schöpfung
(who)
Dimant, Eugen
Gelfand, Michele
Hochleitner, Anna
Sonderegger, Silvia
Event
Veröffentlichung
(who)
Center for Economic Studies and ifo Institute (CESifo)
(where)
Munich
(when)
2023

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Dimant, Eugen
  • Gelfand, Michele
  • Hochleitner, Anna
  • Sonderegger, Silvia
  • Center for Economic Studies and ifo Institute (CESifo)

Time of origin

  • 2023

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