The Zero Bias in Target Retirement Fund Choice

Author:

Kalra Ajay1,Liu Xiao2,Zhang Wei3

Affiliation:

1. Herbert S. Autrey Professor of Marketing at Jesse H. Jones Graduate School of Business, Rice University, 6100 Main Street, Houston, TX 77005-1892, USA

2. Assistant professor of marketing at the Leonard N. Stern School of Business, New York University, Henry Kaufman Management Center, 44 West Fourth Street, New York, NY 10012, USA

3. Kingland Faculty Fellow in Business Analytics and an associate professor of marketing at Debbie and Jerry Ivy College of Business, Iowa State University, 2167 Union Drive, Ames, IA 50011, USA

Abstract

Abstract Using a sample of individuals who hold target retirement funds (TRFs), we examine how people use arithmetic to estimate their retirement age. We find a robust “zero” bias where investors have a strong preference for TRFs that end with zero compared to TRFs that end with five. The evidence is consistent that the bias is an outcome of people using imprecise arithmetic, specifically rounding up and down in the computational estimation required to estimate their retirement year. The zero bias manifests itself in people born in years ending between eight and two. Those born in zero- through two-ending years select TRFs that imply they intend to retire at 70, whereas those born in eight- and nine-ending years choose TRFs that imply retiring at 60. The choices can significantly lower or increase wealth by altering the contribution amounts and exposing investors to risk incompatible with their age profile. The bias is particularly costly for those who are risk averse and select later TRFs but is also most beneficial to risk-averse consumers who choose early TRFs. We experimentally confirm that the contribution rates are related to the TRF choices and that the use of imprecise mathematical rounding is implicated in the bias.

Publisher

Oxford University Press (OUP)

Subject

Marketing,Economics and Econometrics,Arts and Humanities (miscellaneous),Anthropology,Business and International Management

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3