PREDICTING RETIREMENT SAVINGS USING SURVEY MEASURES OF EXPONENTIAL‐GROWTH BIAS AND PRESENT BIAS

C-Tier
Journal: Economic Inquiry
Year: 2019
Volume: 57
Issue: 3
Pages: 1636-1658

Authors (5)

Gopi Shah Goda (Stanford University) Matthew Levy (not in RePEc) Colleen Flaherty Manchester (not in RePEc) Aaron Sojourner (W.E. Upjohn Institute for Empl...) Joshua Tasoff (not in RePEc)

Score contribution per author:

0.201 = (α=2.01 / 5 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

In a nationally representative sample, we predict retirement savings using survey‐based elicitations of exponential‐growth bias (EGB) and present bias (PB). We find that EGB, the tendency to neglect compounding, and PB, the tendency to value the present over the future, are highly significant and economically meaningful predictors of retirement savings. These relationships hold controlling for cognitive ability, financial literacy, and a rich set of demographic controls. We address measurement error as a potential confound and explore mechanisms through which these biases may operate. Back of the envelope calculations suggest that eliminating EGB and PB would increase retirement savings by approximately 12%. (JEL D91, D14)

Technical Details

RePEc Handle
repec:bla:ecinqu:v:57:y:2019:i:3:p:1636-1658
Journal Field
General
Author Count
5
Added to Database
2026-01-25