Measuring Intertemporal Preferences Using Response Times

Working Paper: NBER ID: w14353

Authors: Christopher F. Chabris; David Laibson; Carrie L. Morris; Jonathon P. Schuldt; Dmitry Taubinsky

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.

Keywords: intertemporal preferences; response times; economic decision-making

JEL Codes: C0; D01; D87


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
decision difficulty (response time) (D91)inferred preferences for immediate versus delayed rewards (D15)
longer response times (C41)choices made between nearly equivalent rewards (D87)
response time data (Y10)predict subsequent choice behavior (D87)
discount rates inferred from response times (E43)discount rates derived from traditional choice-based methods (H43)

Back to index