Risk reduction in compulsory disaster insurance: Experimental evidence on moral hazard and financial incentives

被引:24
|
作者
Mol, Jantsje M. [1 ]
Botzen, W. J. Wouter [1 ,2 ,3 ]
Blasch, Julia E. [1 ]
机构
[1] Vrije Univ Amsterdam, Inst Environm Studies IVM, Amsterdam, Netherlands
[2] Univ Utrecht, Utrecht Univ Sch Econ USE, Utrecht, Netherlands
[3] Univ Penn, Wharton Sch, Risk Management & Decis Proc Ctr, Philadelphia, PA 19104 USA
关键词
Behavioral insurance; Moral hazard; Lab experiment; Natural disasters; Damage-reduction measures; SELF-INSURANCE; EMPIRICAL-EVIDENCE; FLOOD INSURANCE; HOUSE MONEY; MITIGATION; PROTECTION; AVERSION; BEHAVIOR; LOSSES; IMPACT;
D O I
10.1016/j.socec.2019.101500
中图分类号
F [经济];
学科分类号
02 ;
摘要
yy In a world in which economic losses due to natural disasters are set to increase, it is essential to study risk reduction strategies, including individual homeowner investments in damage-reducing (mitigation) measures. In this lab experiment (N = 357), we investigated the effects of different financial incentives, probability levels, and deductibles on self-insurance investments in a natural disaster insurance market with compulsory coverage. In particular, we examined how these investments are jointly influenced by financial incentives, such as insurance, premium discounts, and mitigation loans. We also studied the influence of behavioral characteristics, including individual time and risk preferences. We found that investments increase when the expected value of the damage increases (i.e., higher deductibles, higher probabilities). Moral hazard is found in the high-probability (15%) scenarios, but not in the low-probability (3%) scenarios. This suggests that moral hazard is less of an issue in an insurance market where probabilities are low. Our results demonstrate that a premium discount can increase investment in damage-reduction, as can a policyholder's risk aversion, perceived efficacy of protective measures, and worry about flooding.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Mortality effects of containing moral hazard: Evidence from disability insurance reform
    Garcia-Gomez, Pilar
    Gielen, Anne C.
    HEALTH ECONOMICS, 2018, 27 (03) : 606 - 621
  • [42] The effectiveness of state legislation in mitigating moral hazard: Evidence from automobile insurance
    Hoyt, Robert E.
    Mustard, David B.
    Powell, Lawrence S.
    JOURNAL OF LAW & ECONOMICS, 2006, 49 (02): : 427 - 450
  • [43] Moral hazard and selection bias in insurance markets: Evidence from commercial fisheries
    Marvasti, Akbar
    Dakhlia, Sami
    SOUTHERN ECONOMIC JOURNAL, 2024, 90 (03) : 682 - 700
  • [44] A THEORY OF MUTUAL FORMATION AND MORAL HAZARD WITH EVIDENCE FROM THE HISTORY OF THE INSURANCE INDUSTRY
    SMITH, BD
    STUTZER, M
    REVIEW OF FINANCIAL STUDIES, 1995, 8 (02): : 545 - 577
  • [45] River Flood Hazard Modeling: Forecasting Flood Hazard for Disaster Risk Reduction Planning
    Mohammed, Murphy P.
    CIVIL ENGINEERING JOURNAL-TEHRAN, 2019, 5 (11): : 2309 - 2317
  • [46] WHICH BANKS CHOOSE DEPOSIT INSURANCE - EVIDENCE OF ADVERSE SELECTION AND MORAL HAZARD IN A VOLUNTARY INSURANCE SYSTEM
    WHEELOCK, DC
    KUMBHAKAR, SC
    JOURNAL OF MONEY CREDIT AND BANKING, 1995, 27 (01) : 186 - 201
  • [47] Investigating the Risk Reduction Potential of Disaster Insurance Across Europe
    Surminski, Swenja
    Hudson, Paul
    GENEVA PAPERS ON RISK AND INSURANCE-ISSUES AND PRACTICE, 2017, 42 (02): : 247 - 274
  • [48] Agriculture insurance for disaster risk reduction: A case study of Malaysia
    Alam, A. S. A. Ferdous
    Begum, Halima
    Masud, Muhammad Mehedi
    Al-Amin, Abul Quasem
    Filho, Walter Leal
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2020, 47
  • [49] Buying insurance for disaster-type risks: Experimental evidence
    Ganderton, PT
    Brookshire, DS
    McKee, M
    Stewart, S
    Thurston, H
    JOURNAL OF RISK AND UNCERTAINTY, 2000, 20 (03) : 271 - 289
  • [50] Investigating the Risk Reduction Potential of Disaster Insurance Across Europe
    Swenja Surminski
    Paul Hudson
    The Geneva Papers on Risk and Insurance - Issues and Practice, 2017, 42 : 247 - 274