Evidence of asymmetric information in the automobile insurance market: Dichotomous versus multinomial measurement of insurance coverage

Hyojoung Kim, Doyoung Kim, Subin Im, James W. Hardin

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

In the empirical analysis of information asymmetry in automobile insurance markets, prior research used a dichotomous measurement approach that induces excessive bundling in coverage measurements and sample selection biases. To improve on the conditional correlation method for testing information asymmetry, we propose a multinomial measurement approach that constructs coverage categories at ordered multinomial levels. With this approach, we find robust evidence of information asymmetry in both coverage area and coverage amount choices, which we could not find with the dichotomous measurement approach. It thus demonstrates the sensitivity of the empirical findings to the method used to measure insurance coverage.

Original languageEnglish
Pages (from-to)343-366
Number of pages24
JournalJournal of Risk and Insurance
Volume76
Issue number2
DOIs
Publication statusPublished - 2009 Jun 1

Fingerprint

Automobile insurance
Insurance
Insurance market
Asymmetric information
Asymmetry of information
Conditional correlation
Testing
Bundling
Empirical analysis
Sample selection bias
Information asymmetry

All Science Journal Classification (ASJC) codes

  • Accounting
  • Finance
  • Economics and Econometrics

Cite this

@article{8d84705ca9da4de0926db4b5aedf0bee,
title = "Evidence of asymmetric information in the automobile insurance market: Dichotomous versus multinomial measurement of insurance coverage",
abstract = "In the empirical analysis of information asymmetry in automobile insurance markets, prior research used a dichotomous measurement approach that induces excessive bundling in coverage measurements and sample selection biases. To improve on the conditional correlation method for testing information asymmetry, we propose a multinomial measurement approach that constructs coverage categories at ordered multinomial levels. With this approach, we find robust evidence of information asymmetry in both coverage area and coverage amount choices, which we could not find with the dichotomous measurement approach. It thus demonstrates the sensitivity of the empirical findings to the method used to measure insurance coverage.",
author = "Hyojoung Kim and Doyoung Kim and Subin Im and Hardin, {James W.}",
year = "2009",
month = "6",
day = "1",
doi = "10.1111/j.1539-6975.2009.01302.x",
language = "English",
volume = "76",
pages = "343--366",
journal = "Journal of Risk and Insurance",
issn = "0022-4367",
publisher = "Wiley-Blackwell",
number = "2",

}

Evidence of asymmetric information in the automobile insurance market : Dichotomous versus multinomial measurement of insurance coverage. / Kim, Hyojoung; Kim, Doyoung; Im, Subin; Hardin, James W.

In: Journal of Risk and Insurance, Vol. 76, No. 2, 01.06.2009, p. 343-366.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Evidence of asymmetric information in the automobile insurance market

T2 - Dichotomous versus multinomial measurement of insurance coverage

AU - Kim, Hyojoung

AU - Kim, Doyoung

AU - Im, Subin

AU - Hardin, James W.

PY - 2009/6/1

Y1 - 2009/6/1

N2 - In the empirical analysis of information asymmetry in automobile insurance markets, prior research used a dichotomous measurement approach that induces excessive bundling in coverage measurements and sample selection biases. To improve on the conditional correlation method for testing information asymmetry, we propose a multinomial measurement approach that constructs coverage categories at ordered multinomial levels. With this approach, we find robust evidence of information asymmetry in both coverage area and coverage amount choices, which we could not find with the dichotomous measurement approach. It thus demonstrates the sensitivity of the empirical findings to the method used to measure insurance coverage.

AB - In the empirical analysis of information asymmetry in automobile insurance markets, prior research used a dichotomous measurement approach that induces excessive bundling in coverage measurements and sample selection biases. To improve on the conditional correlation method for testing information asymmetry, we propose a multinomial measurement approach that constructs coverage categories at ordered multinomial levels. With this approach, we find robust evidence of information asymmetry in both coverage area and coverage amount choices, which we could not find with the dichotomous measurement approach. It thus demonstrates the sensitivity of the empirical findings to the method used to measure insurance coverage.

UR - http://www.scopus.com/inward/record.url?scp=65549093253&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=65549093253&partnerID=8YFLogxK

U2 - 10.1111/j.1539-6975.2009.01302.x

DO - 10.1111/j.1539-6975.2009.01302.x

M3 - Article

AN - SCOPUS:65549093253

VL - 76

SP - 343

EP - 366

JO - Journal of Risk and Insurance

JF - Journal of Risk and Insurance

SN - 0022-4367

IS - 2

ER -