Advanced counter-biasing

B-Tier
Journal: Journal of Economic Behavior and Organization
Year: 2020
Volume: 177
Issue: C
Pages: 1-18

Authors (2)

Benscheidt, Kevin (not in RePEc) Carpenter, Jeffrey (Middlebury College)

Score contribution per author:

1.009 = (α=2.02 / 2 authors) × 1.0x B-tier

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

Abstract

Viewed through the lens of the prominent two-system model of decision making, much of behavioral economics is seen as studying the tension between impulses (System 1) and rationality (System 2). In this context, two strategies, “de-biasing,” informing agents of their biases and “counter-biasing,” using “nudges” to activate biases to positively influence choice, have improved the welfare of behavioral agents. We advance the notion of counter-biasing by demonstrating that one bias (present bias) can be pit against another (choking at high stakes) to counteract the ill effects of the second. Our results demonstrate the potential of counter-biasing as an effective policy tool.

Technical Details

RePEc Handle
repec:eee:jeborg:v:177:y:2020:i:c:p:1-18
Journal Field
Theory
Author Count
2
Added to Database
2026-01-25