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Measuring intertemporal preferences using response times

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Author Info
Christopher F. Chabris
David Laibson
Carrie L. Morris
Jonathon P. Schuldt
Dmitry Taubinsky

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Abstract

We use two different approaches to measure intertemporal preferences. First we employ the classical method of inferring preferences from a series of choices (subjects choose between $X now or $Y in D days). Second we adopt the novel approach of inferring preferences using only response time data from the same choices (how long it takes subjects to choose between $X now or $Y in D days). In principle, the inference from response times should work, since choices between items of nearly equivalent value should take longer than choices between items with substantially different values. We find that choice-based analysis and response-time-based analysis yield nearly identical discount rate estimates. We conclude that response time data sheds light on both our revealed (choice-based) preferences and on the cognitive processes that implement those preferences.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 14353.

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Date of creation: Sep 2008
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Handle: RePEc:nbr:nberwo:14353

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Find related papers by JEL classification:
C0 - Mathematical and Quantitative Methods - - General
D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics
D9 - Microeconomics - - Intertemporal Choice and Growth

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  1. Xavier Gabaix & David Laibson & Guillermo Moloche & Stephen Weinberg, 2006. "Costly Information Acquisition: Experimental Analysis of a Boundedly Rational Model," American Economic Review, American Economic Association, vol. 96(4), pages 1043-1068, September. [Downloadable!]
  2. Ariel Rubinstein, 2007. "Instinctive and Cognitive Reasoning: A Study of Response Times," Economic Journal, Royal Economic Society, vol. 117(523), pages 1243-1259, October. [Downloadable!] (restricted)
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