Complexity and Hyperbolic Discounting

65 Pages Posted: 17 Jan 2024

See all articles by Benjamin Enke

Benjamin Enke

Harvard University

Thomas Graeber

Harvard Business School

Ryan Oprea

University of California, Santa Barbara (UCSB)

Date Written: 2023

Abstract

A large literature shows that people discount financial rewards hyperbolically instead of exponentially. While discounting of money has been questioned as a measure of time preferences, it continues to be highly relevant in empirical practice and predicts a wide range of real-world behaviors, creating a need to understand what generates the hyperbolic pattern. We provide evidence that hyperbolic discounting reflects mistakes that are driven by the complexity of evaluating delayed payoffs. In particular, we document that hyperbolicity (i) is strongly associated with choice inconsistency and cognitive uncertainty, (ii) increases in overt complexity manipulations and (iii) arises nearly identically in computationally similar tasks that involve no actual payoff delays. Our results suggest that even if people had exponential discount functions, complexity-driven mistakes would cause them to make hyperbolic choices. We examine which experimental techniques to estimate present bias are (not) confounded by complexity.

Keywords: hyperbolic discounting, present bias, bounded rationality, cognitive uncertainty

JEL Classification: C910, D910, G000

Suggested Citation

Enke, Benjamin and Graeber, Thomas and Oprea, Ryan, Complexity and Hyperbolic Discounting (2023). CESifo Working Paper No. 10861, Available at SSRN: https://ssrn.com/abstract=4692413 or http://dx.doi.org/10.2139/ssrn.4692413

Benjamin Enke (Contact Author)

Harvard University ( email )

1875 Cambridge Street
Cambridge, MA 02138
United States

Thomas Graeber

Harvard Business School ( email )

Soldiers Field
Boston, MA 02163
United States

HOME PAGE: http://thomasgraeber.com/

Ryan Oprea

University of California, Santa Barbara (UCSB) ( email )

South Hall 5504
Santa Barbara, CA 93106
United States

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