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Universal time preference.

Marc Oliver Rieger1, Mei Wang2, Thorsten Hens3,4,5

  • 1Banking and Finance, University of Trier, Trier, Rhineland-Palatinate, Germany.

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Summary
This summary is machine-generated.

Understanding international differences in time preferences is crucial for decision-making. This study reveals a common time preference factor across 117 countries, predicting economic and social variables.

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Area of Science:

  • Behavioral Economics
  • Cross-Cultural Psychology
  • International Finance

Background:

  • Time preferences significantly influence human decision-making globally.
  • Existing measurement methodologies for time preferences are diverse and often inconsistent.
  • International differences in time preferences are not well understood due to varied measurement approaches.

Purpose of the Study:

  • To identify a common underlying factor in time preferences across diverse measurement methods.
  • To investigate the predictive power of this common time preference factor on international variables.
  • To provide a unified dataset on time preferences for 117 countries for future research.

Main Methods:

  • Utilized a factor analysis approach to identify a common latent construct across different time preference measurement techniques.
  • Aggregated data from various cross-cultural studies employing diverse methodologies (e.g., Likert scales, lottery choices).
  • Correlated the identified time preference factor with national-level economic and social indicators.

Main Results:

  • A significant common factor in time preferences was identified across different measurement methods.
  • This common factor demonstrated strong correlations with key national variables, including credit ratings, gasoline prices, equity risk premiums, and years of school attendance.
  • A comprehensive dataset for this time preference factor was generated for 117 countries and regions.

Conclusions:

  • Despite methodological variations, a consistent international dimension of time preference exists.
  • This unified time preference factor offers valuable insights into economic behavior and societal development.
  • The developed aggregation method can be applied to merge future cross-cultural studies measuring similar latent constructs.