• Corpus ID: 10844707

Adverse Selection and Moral Hazard in the Dynamic Model of Auto Insurance

@inproceedings{Krasnokutskaya2016AdverseSA,
  title={Adverse Selection and Moral Hazard in the Dynamic Model of Auto Insurance},
  author={Elena A. Krasnokutskaya and Przemyslaw Jeziorski},
  year={2016}
}
We use the data on multiple years of contract choices and claims by customers of a major Portuguese car insurance company to investigate a possibility that agent’s risk is modifiable through costly (unobserved) effort. Using a model of contract choice and endogenous risk production we demonstrate the economic importance of moral hazard, measure the relative importance of agents’ private information on cost of reducing risk and risk aversion, and evaluate the relative effectiveness of… 
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References

SHOWING 1-10 OF 23 REFERENCES
Evidence on Adverse Selection: Equilibrium Signaling and Cross-Subsidization in the Insurance Market
The configuration of equilibrium in the market for automobile collision insurance is examined empirically by representing the premium-deductible menu and the demand function as a standard hedonic
Adverse selection and moral hazard in insurance: Can dynamic data help to distinguish?
A standard problem of applied contracts theory is to empirically distinguish between adverse selection and moral hazard. We show that dynamic insurance data allow to distinguish moral hazard from
Moral Hazard and Dynamic Insurance Data
This paper exploits dynamic features of insurance contracts in the empirical analysis of moral hazard. We first show that experience rating implies negative occurrence dependence under moral hazard:
Better Safe than Sorry? Ex Ante and Ex Post Moral Hazard in Dynamic Insurance Data
This paper empirically analyzes moral hazard in car insurance using a dynamic theory of an insuree's dynamic risk (ex ante moral hazard) and claim (ex post moral hazard) choices and Dutch
Estimating Risk Preferences from Deductible Choice
We develop a structural econometric model to estimate risk preferences from data on deductible choices in auto insurance contracts. We account for adverse selection by modeling unobserved
Testing for Asymmetric Information in Insurance Markets
The first goal of this paper is to provide a simple and general test of the presence of asymmetric information in contractual relationships within a competitive context. We also argue that insurance
Selection on Moral Hazard in Health Insurance
TLDR
It is shown that, at least in this context, abstracting from selection on moral hazard could lead to over-estimates of the spending reduction associated with introducing a high-deductible health insurance option.
Asymmetric information in health insurance: evidence from the National Medical Expenditure Survey.
TLDR
A structural model of health insurance and health care choices using data on single individuals from the NMES is estimated and it is found that riskier types buy more coverage and, on average, end up using more care.
A model of insurance markets with incomplete information
New Developments in the Theory of Adverse Selection in Competitive Insurance
We provide an overview of the paths taken to understand existence and efficiency of equilibrium in competitive insurance markets with adverse selection since the seminal work by Rothschild and
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