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Measuring Time Preferences.

Jonathan Cohen1, Keith Marzilli Ericson2,3, David Laibson3,4

  • 1Princeton University.

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This summary is machine-generated.

This review translates financial choices into time preferences, revealing how "money earlier or later" (MEL) decisions reflect underlying discount functions and are influenced by factors beyond pure time preference.

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Area of Science:

  • Behavioral Economics
  • Decision Science
  • Psychology

Background:

  • Understanding intertemporal tradeoffs is crucial for economic and psychological models.
  • Existing research often uses varied methodologies to assess time preferences.
  • A gap exists in directly translating financial decision metrics to utility-based discount functions.

Purpose of the Study:

  • To review and synthesize research on measuring time preferences.
  • To develop a framework for translating "money earlier or later" (MEL) decisions into discount functions.
  • To identify empirical regularities and predictive power of MEL studies.

Main Methods:

  • Literature review of studies measuring time preferences.
  • Application of structural models to translate financial flows (required rates of return) into discount functions.
  • Analysis of empirical regularities and predictive validity in MEL research.

Main Results:

  • MEL experiments directly measure required rates of return for financial flows.
  • These metrics can be translated into discount functions over utils using structural models.
  • Empirical regularities and predictive power of MEL studies are summarized.
  • Factors distinct from underlying time preferences influence MEL choices.

Conclusions:

  • A unified approach can link financial decisions to underlying time preferences.
  • MEL studies offer valuable insights into intertemporal decision-making.
  • Recognizing external influences on MEL choices enhances the interpretation of time preference research.