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We consider a population of individuals who differ in two dimensions, their risk type (expected loss) and their risk aversion, and solve for the profit-maximising menu of contracts that a monopolistic insurer puts out on the market. Our findings are threefold. First, it is never optimal to fully separate all the types. Second, if heterogeneity in risk aversion is sufficiently high, then some high-risk individuals (the risk-tolerant ones) will obtain lower coverage than some low-risk individuals (the risk-averse ones). Third, because women tend to be more risk averse than men (in that the risk aversion distribution for women first-order stochastically dominates that for men), gender discrimination may lead to a Pareto improvement.  相似文献   
2.
We develop a positive model of waiting lists for public hospitals when physicians are able to divert patients from the public to the private sector. Public treatment is free but rationed, i.e., only cases meeting some medical criteria are admitted. Private treatment has no waiting time but entails payment of a fee. Physicians and patients take into account that each patient treated in the private practice reduces the waiting list for public treatment. We show that physicians do not necessarily end up treating the mildest cases from the waiting list. Our analysis is valid for a wide class of doctors' utility functions.  相似文献   
3.
We present a dynamic model of tax evasion, where tax liabilities last for two periods and the probability of an inspection decreases with the sum of taxes evaded this period plus taxes evaded last period. We show that a tax amnesty that pardons more than the evasion penalties (an extensive amnesty) can temporarily improve compliance. Whenever the inspection technology improves, steady state compliance also improves, but the economy takes time to transit from one steady state to the other. We show that an amnesty may accelerate this transit, or even make it instantaneous if the amnesty is extensive enough.  相似文献   
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