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Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

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--Most literatures focus on the asymmetric information between insured and insurer. --Few literatures focus on the asymmetric information caused by provider in health insurance --This paper focus on the asymmetric information caused by provider in automobile insurance of Taiwan

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Page 1: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Provider-induced Asymmetric Information in the Insurance Market

Larry Y. TzengJennifer L. WangKili C. WangJen-Hung Wang

Page 2: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Asymmetric information—• Adverse selection• Moral hazardThere is significantly positive

conditionalcorrelation between risk and coverage.• Risk—claim• Coverage—high versus low

Page 3: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

--Most literatures focus on the asymmetric information between insured and insurer.

--Few literatures focus on the asymmetric information caused by provider in health insurance

--This paper focus on the asymmetric information caused by provider in automobile insurance of Taiwan

Page 4: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

“Provider” in this paper:• Dealer-owned agent (DOA)—who sold automobile as well as automobile insurance, meanwhile he also owned the repair house.• More than 40% of automobile insurance policies are sold through DOA.

Page 5: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

In year 2000

DOA Non-DOA

Type A & B contract

0.78 0.52

Accident 0.41 0.23

Page 6: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Why provider induce more sever asymmetric

information? Adverse selection—• DOA sold larger percentage of high coverage

contract– The commission incentive for DOA to sell high

coverage– “obtain better deal” motive for insured to

purchase high coverage • DOA induced greater number of high risk drivers

– “Higher expected repair revenue” incentive for DOA

– Immune form premium penalty for high risk insured

– Get “better car repair service” for high risk insured

Page 7: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Moral hazard—High coverage policies through DOA result in more claim• DOA clear about who has higher

coverage can cover higher loss• DOA owned more information about

car damage caused by accident• Insurer audit DOA less (insurer

tolerate DOA more)

Page 8: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Our hypothesis:

Automobile insurance sold through DOA suffers more severe problems of asymmetric information

Page 9: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Empirical methodologies• Chiappori and Salanie’s (2000) approach --residual correlation from two probit regression• Approach similar to Dionne, Gourieroux & Vanasse (2001) --two stage method

Page 10: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Chiappori and Salanie’s (2000) approach iciXerageob )1(covPr

iaiXaccidentob )1(Pr

)()(

)1()()(

)|(ˆci

ciii

ci

ciiii X

Xyy

XX

yE

)()(

)1()()(

)|(ˆai

aiii

ai

aiiii X

Xzz

XX

zE

n

iii

n

iii

W

1

22

2

1

ˆˆ

)ˆˆ(

Predict: NAA

is the correlation coefficient of i and i

Page 11: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

A robust test

1iD

22 ˆˆ

ˆˆˆii

iiiW

let when ,and when 1ˆ iW 0iD 1ˆ iW

XBempenoDob ii 1)1(Pr

Predict: should be significantly positive1

Page 12: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Approach similar to Dionne, Gourieroux & Vanasse (2001) (a) estimate the occurrence of claim in first stage

(b) estimate the choice of coverage in first stage

)()1(Prob 11 iii XXaccident

)ˆ(

),,,ˆ1(covProb

42321

2

iiiii

iiiiii

XDaccidentaccidentdentiacc

XDaccidentaccidentdentiaccerage

)()1(covProb 33 iii XXerage

)covcovˆcov(

),cov,cov,ˆcov1(Prob

84765

4

iiiii

iiiiii

XDerageerageragee

XDerageeragerageeaccident

Page 13: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Predict:

is significantly positive

is significantly positive

3

7

Page 14: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Empirical Results• The asymmetric information do exist in automobile insurance market of Taiwan• The asymmetric information problems in insurance written by DOA are more sever than those through non-DOA channels

– From Chiappori and Salanie’s (2000) approach– From robust test– From Approach similar to Dionne, Gourieroux & Vanasse (2001)

Page 15: Provider-induced Asymmetric Information in the Insurance Market Larry Y. Tzeng Jennifer L. Wang Kili C. Wang Jen-Hung Wang

Thank you !All your comments are

welcome !