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Adverse selection, moral hazard and propitious selection

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Abstract

We propose a simple model with preference-based adverse selection and moral hazard that formalizes the cherry picking/propitious selection argument. This argument assumes that individuals differ in risk aversion, potentially resulting in more risk averse agents buying more insurance while being less risky. The propitious selection argument is summarized by two properties: regularity (more risk averse agents exert more caution) and single-crossing (more risk averse agents have a higher willingness to pay for insurance). We show that these assumptions are incompatible with a pooling equilibrium, and that they do not imply a negative correlation between risk and insurance coverage at equilibrium.

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Notes

  1. See also Hemenway (1992).

  2. Unlike the empirical tests of propitious selection cited above which compare individuals with and without insurance, our model considers insurance contracts offering incomplete coverage. For a study of the trade-offs between exclusion and coverage, see De Feo and Hindriks (2005).

  3. This is sharp contrast to de Meza and Webb (2001) who develop a model with moral hazard and adverse selection on risk in the presence of loading where equilibria can be either pooling or semipooling. Their result is due to the fact that preferences are not single-crossing in their framework.

  4. Although we frame the analysis in the text in expected utility terms, our reasoning would equally apply to other ways to model preference over lotteries. The Appendix develops a model using Yaari’s (1987) dual theory of choice under uncertainty.

  5. We discuss after Property 1 the alternative modelling assumption of a monetary cost of effort.

  6. Eeckhoudt and Gollier (2005) focus on the impact of prudence (i.e., a positive third derivative of the utility function) on precaution.

  7. Although all Figures have been drawn with convex indifference curve, the reader can check that convexity plays no role in Figs. 1 and 2.

References

  • Cawley, J., & Philipson, T. (1999). An empirical examination of information barriers to trade in insurance. American Economic Review, 89, 827–846.

    Google Scholar 

  • Chiappori, P.-A., Jullien, B., Salanié, F., & Salanié, B. (2006). Asymmetric information in insurance: General testable implications. Rand Journal of Economics, 37(4), 783–798.

    Article  Google Scholar 

  • Chiappori, P.-A., & Salanié, B. (2000). Testing for asymmetric information in insurance markets. Journal of Political Economy, 108, 56–78.

    Article  Google Scholar 

  • Clyde, A. T., Hemenway, D., & Nagurney, J. T. (1996). Seat belt use, insurance status, and hospital bad debt. Journal of Trauma-Injury Infection & Critical Care, 41(1), 100–104.

    Article  Google Scholar 

  • Cutler, D. M., Finkelstein, A., & McGarry, K. M. (2008). Preference heterogeneity and insurance markets: Explaining a puzzle of insurance. NBER Working Paper 13746.

  • De Donder, P., & Hindriks, J. (2003). The politics of redistributive social insurance. Journal of Public Economics, 87, 2639–2660.

    Article  Google Scholar 

  • De Feo, G., & Hindriks, J. (2005). Efficiency of competition in insurance markets with adverse selection. Discussion Paper 2005-42, Université Catholique de Louvain.

  • de Meza, D., & Webb, D. C. (2001). Advantageous selection in insurance markets. Rand Journal of Economics, 32(2), 249–262.

    Article  Google Scholar 

  • Eeckhoudt, L., & Gollier, C. (2005). The impact of prudence on optimal prevention. Economic Theory, 26(4), 989–994.

    Article  Google Scholar 

  • Finkelstein, A., & McGarry, K. M. (2003). Private information and its effect on market equilibrium: New evidence from long-term care insurance. NBER Working Paper 9957.

  • Hemenway, D. (1990). Propitious selection. The Quarterly Journal of Economics, 105, 1063–69.

    Article  Google Scholar 

  • Hemenway, D. (1992). Propitious selection in insurance. Journal of Risk and Uncertainty, 5, 247–51.

    Article  Google Scholar 

  • Jullien, B., Salanié, B., & Salanié, F. (1999). Should more risk averse agents exert more effort? The Geneva Papers on Risk and Insurance Theory, 24, 19–28.

    Article  Google Scholar 

  • Jullien, B., Salanié, B., & Salanié, F. (2007). Screening risk averse agents under moral hazard: Single-crossing and the CARA case. Economic Theory, 30(1), 151–169.

    Article  Google Scholar 

  • Lloyd, L. E., Lauderdale, M., & Betz, T. G. (1987). Motorcycle deaths and injuries in Texas: Helmets make a difference. Texas Medicine, 83, 30–33.

    Google Scholar 

  • Nelson, D. E., Peterson, T. D., Chorba, T. L., Devine, O. J., & Sacks, J. J. (1993). Costs savings associated with increased safety belt use in Iowa, 1987–1988. Accident Analysis and Prevention, 25(5), 521–528.

    Article  Google Scholar 

  • Saito, K. (2006). Testing for asymmetric information in the automobile insurance market under rate regulation. Journal of Risk & Insurance, 73(2), 335–356.

    Article  Google Scholar 

  • Villeneuve, B. (2000). The consequences for a monopolistic insurer of evaluating risk better than customers: The adverse selection hypothesis reversed. The Geneva Papers on Risk and Insurance Theory, 25, 65–79.

    Article  Google Scholar 

  • Viscusi, W. K., & Hakes, J. J. (2008). Risk beliefs and smoking behavior. Economic Enquiry, 46(1), 45–59.

    Article  Google Scholar 

  • Yaari, M. E. (1987). The dual theory of choice under risk. Econometrica, 55(1), 95–115.

    Article  Google Scholar 

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Correspondence to Philippe De Donder.

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Previous versions of this paper have circulated under the title “Does propitious selection explain why riskier people buy less insurance?” . The paper has been revised while the first author was visiting Yale University. He thanks Yale’s Economics Department for its hospitality. We thank two referees and the Editor for helpful comments. All remaining errors are ours.

Appendix

Appendix

1.1 Example of propitious selection with the dual theory of choice under risk

We model individuals’ risk preferences using Yaari’s (1987) theory, which is dual to the expected utility theory in the sense that it is linear in wealth but non linear in probabilities. This formulation allows us to separate attitude towards risk from attitude towards wealth: with Yaari’s approach, risk aversion is entirely driven by a transformation of probabilities whereby bad outcomes are given more weight while good outcomes are given less weight.

Following De Donder and Hindriks (2003), the utility function of an individual who exerts an effort e with cost c(e), faces a loss probability p(e) and who buys the insurance contract (π,δ) is

$$\begin{array}{lll} u(\pi ,\delta ,p,e;\alpha ) &=&(1+\alpha )p(e)\left( w-\pi -(1-\delta )L\right) \\ &&+\left( 1-(1+\alpha )p(e)\right) \left( w-\pi \right) -c(e) \\ &=&w-\pi -(1+\alpha )p(e)(1-\delta )L-c(e) \end{array}$$
(3)

where w denotes his exogenous income and α ≥ 0 is his risk aversion parameter. In words, the individual overestimates by a fraction α his expected financial damage. The utility without insurance is

$$u(0,0,p,e;\alpha )=w-(1+\alpha )p(e)L-c(e)$$

and the reservation premium is

$$r(\delta ,p;\alpha )=(1+\alpha )p(e)\delta L.$$
(4)

Therefore risk aversion α in our model takes the form of a relative markup over the actuarially fair price.

We first solve for the optimal precaution choice given the insurance contract (δ,π) bought:

$$\max_{e}w-\pi -(1+\alpha )p(e)(1-\delta )L-c(e).$$

We assume that c(e) = e 2 , L = 1, \(p(e)=\frac{(1-e)}{2}\in \lbrack 0, \frac{1}{2}]\) for \(e\in \lbrack 0,1]\) and define θ = (1 + α)/2 (with \(\theta \in \lbrack \frac{1}{2},1]\)). The optimal precaution choice for type θ is

$$e_{\theta }(\delta )=\frac{(1-\delta )\theta }{2}\in \left[ 0,\frac{1}{2}\right]$$

and the corresponding risk for type θ is

$$p_{\theta }(\delta )=\frac{1}{2}-\frac{(1-\delta )\theta }{4}\in \left[\frac{1}{4},\frac{1}{2}\right].$$

Property 1 (regularity) is then satisfied, and the induced utility function for type θ from insurance contract (δ,π) is

$$\begin{array}{lll}V_{\theta }(\delta ,\pi ) &=&w-\pi -2\theta (1-\delta )p_{\theta }(\delta )-c(e_{\theta }(\delta )) \\ &=&w-\pi -\theta (1-\delta )+\frac{(1-\delta )^{2}}{4}\theta ^{2}. \end{array}$$

With our functional forms, marginal willingness to pay for insurance (using an envelope argument with respect to precaution choice) is

$$\left. \frac{d\pi }{d\delta }\right| _{V_{\theta }}=\theta -\frac{(1-\delta ) }{2}\theta ^{2}\equiv s(\delta ,\theta ).$$

We thus obtain naturally the single-crossing condition (Property 2).

We turn to the insurance contracts offered to the individuals. The contract curve composed of all fair contracts proposed to an individual of type θ is given by

$$\pi \left( \delta ,\theta \right) =\left( \frac{1}{2}-\frac{\left( 1-\delta \right) }{4}\theta \right) \delta$$

where \(\delta \in \lbrack 0,1]\).

The slope of this contract curve in the space (π,δ) is given by

$$\frac{\partial \pi (\delta ,\theta )}{\partial \delta }=\frac{1}{2}-\frac{ \theta (1-2\delta )}{4}\equiv \sigma (\delta ,\theta ).$$

It is readily verified that the contract curve is convex, due to moral hazard. Moreover, we have \(\pi \left( 0,\theta \right) =0,\) \(\pi \left( 1,\theta \right) =1/2\) (since no precaution is exerted and everybody shares the same risk) and \(\pi \left( \delta ,L\right) >\pi \left( \delta ,H\right) \) for all 0 < δ < 1 and all L < H, reflecting the higher risk level of less risk averse agents.

The reader can check that the optimal choice of an insurance contract along the actuarially fair contract curve of each individual implies that more risk averse agents buy more coverage. On the other hand, moral hazard results in both indifference curves and contract curves being convex in the (π,δ)-space, with indifference curves less convex than contract curves (because utility functions incorporate the cost of precaution while contract curves do not). Using the dual theory of risk preferences, we then end up with the same situation as the one described in the text: although Properties 1 and 2 are satisfied, propitious selection generates a positive correlation between risk and insurance purchase.

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De Donder, P., Hindriks, J. Adverse selection, moral hazard and propitious selection. J Risk Uncertain 38, 73–86 (2009). https://doi.org/10.1007/s11166-008-9056-7

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