Insurance customer behavior: Lessons from behavioral economics

被引:15
|
作者
Richter, Andreas [1 ,2 ]
Russ, Jochen [3 ,4 ]
Schelling, Stefan [5 ]
机构
[1] Univ Munich, Inst Risk Management & Insurance, Munich, Germany
[2] Univ Munich, Munich Risk & Insurance Ctr, Munich, Germany
[3] Univ Ulm, Inst Finanz & Aktuarwissensch, Ulm, Germany
[4] Univ Ulm, Ulm & Inst Insurance Sci, Ulm, Germany
[5] Univ Ulm, Inst Insurance Sci, Ulm, Germany
关键词
D O I
10.1111/rmir.12121
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In economics it has traditionally been assumed that people make all their decisions like the so-called homo oeconomicus - that is, maximizing (expected) utility of total wealth. In recent years, economics increasingly recognized that people often exhibit behavioral patterns which are incompatible with the idea of the homo oeconomicus. The field of behavioral economics incorporates insights from the field of psychology to explain discrepancies between predictions of traditional economic theory and actual observed behavior. In this paper, we summarize a selection of well-established behavioral patterns observed in reality and discuss their relevance for the insurance industry when it comes to better understanding and predicting customer behavior. We also explain that people are not always risk-averse and give a brief overview over Prospect Theory (probably the most popular behavioral economics alternative to Expected Utility Theory), its shortcomings for predicting behavior over a long time horizon, and its extensions. In total, we point out that, since dealing with risks and insurance products requires complex decision making processes, a deep understanding of the impacts of behavioral factors is essential to better assess and explain costumer behavior.
引用
收藏
页码:183 / 205
页数:23
相关论文
共 50 条
  • [41] BEHAVIORAL ECONOMICS II - MOTIVATED, INVOLUNTARY BEHAVIOR
    AINSLIE, G
    SOCIAL SCIENCE INFORMATION SUR LES SCIENCES SOCIALES, 1984, 23 (01): : 47 - 78
  • [42] Erratum to: Behavioral economics: implications for regulatory behavior
    James C. Cooper
    William E. Kovacic
    Journal of Regulatory Economics, 2012, 41 : 292 - 292
  • [43] Behavioral Economics: A Tutorial for Behavior Analysts in Practice
    Reed, Derek D.
    Niileksela, Christopher R.
    Kaplan, Brent A.
    BEHAVIOR ANALYSIS IN PRACTICE, 2013, 6 (01) : 34 - 54
  • [44] The cost of complexity in federal student aid: Lessons from optimal tax theory and behavioral economics
    Dynarski, Susan M.
    Scott-Clayton, Judith E.
    NATIONAL TAX JOURNAL, 2006, 59 (02) : 319 - 356
  • [45] Reshaping a course for COVID along 5 dimensions: Lessons from "behavioral economics" at Swarthmore College
    Bhanot, Syon
    JOURNAL OF ECONOMIC EDUCATION, 2023, 54 (02): : 205 - 213
  • [46] Healthcare.gov 3.0-Behavioral Economics and Insurance Exchanges
    Ubel, Peter A.
    Comerford, David A.
    Johnson, Eric
    OBSTETRICAL & GYNECOLOGICAL SURVEY, 2015, 70 (06) : 373 - U78
  • [47] Healthcare.gov 3.0-Behavioral Economics and Insurance Exchanges
    Ubel, Peter A.
    Comerford, David A.
    Johnson, Eric
    NEW ENGLAND JOURNAL OF MEDICINE, 2015, 372 (08): : 695 - 698
  • [48] A Review of Insurance and Behavioral Economics: Improving Decisions in the Most Misunderstood Industry
    Zweifel, Peter
    INTERNATIONAL JOURNAL OF THE ECONOMICS OF BUSINESS, 2014, 21 (01) : 157 - 162
  • [49] Behavioral economics and drinking behavior: Preliminary results from an Irish college study
    Delaney, Liam
    Harmon, Colm
    Wall, Patrick
    ECONOMIC INQUIRY, 2008, 46 (01) : 29 - 36
  • [50] The Effect of Individual Time Preferences on Smoking Behavior: Insights from Behavioral Economics
    Soofi, Moslem
    Akbari Sari, Ali
    Najafi, Farid
    IRANIAN JOURNAL OF PUBLIC HEALTH, 2020, 49 (09) : 1787 - 1795