Present bias and health

B-Tier
Journal: Journal of Risk and Uncertainty
Year: 2018
Volume: 57
Issue: 2
Pages: 177-198

Authors (2)

Yang Wang (not in RePEc) Frank A. Sloan (Duke University)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

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

Abstract

Abstract This study uses a dynamic discrete choice model to examine the degree of present bias and naivete about present bias in individuals’ health care decisions. Clinical guidelines exist for several common chronic diseases. Although the empirical evidence for some guidelines is strong, many individuals with these diseases do not follow the guidelines. Using persons with diabetes as a case study, we find evidence of substantial present bias and naivete. Counterfactual simulations indicate the importance of present bias and naivete in explaining low adherence rates to health care guidelines.

Technical Details

RePEc Handle
repec:kap:jrisku:v:57:y:2018:i:2:d:10.1007_s11166-018-9289-z
Journal Field
Theory
Author Count
2
Added to Database
2026-01-29