In this chapter, we discuss the fundamental problem of adverse selection in health insurance.

Similar documents
Consumers may be incompletely informed about states. Difference between imperfect information and asymmetric information

Economic Development Fall Answers to Problem Set 5

(Some theoretical aspects of) Corporate Finance

Characterization of the Optimum

Problem Set 2. Theory of Banking - Academic Year Maria Bachelet March 2, 2017

9.2 Adverse Selection under Certainty: Lemons I and II. The principal contracts to buy from the agent a car whose quality

Class Notes on Chaney (2008)

Microeconomics of Banking: Lecture 2

Chapter 23: Choice under Risk

ECO 203: Worksheet 4. Question 1. Question 2. (6 marks)

Insurance, Adverse Selection and Moral Hazard

Adverse selection in insurance markets

B. Online Appendix. where ɛ may be arbitrarily chosen to satisfy 0 < ɛ < s 1 and s 1 is defined in (B1). This can be rewritten as

UNIVERSITY OF OSLO. Impact of the public / private mix of health insurance on genetic testing. Working Paper 1999: 1

Game Theory: Global Games. Christoph Schottmüller

Price Theory Lecture 9: Choice Under Uncertainty

Liability, Insurance and the Incentive to Obtain Information About Risk. Vickie Bajtelsmit * Colorado State University

Utility and Choice Under Uncertainty

ADVERSE SELECTION AND SCREENING IN INSURANCE MARKETS

Microeconomic Theory II Preliminary Examination Solutions Exam date: June 5, 2017

Chapter 9 THE ECONOMICS OF INFORMATION. Copyright 2005 by South-Western, a division of Thomson Learning. All rights reserved.

MORAL HAZARD AND BACKGROUND RISK IN COMPETITIVE INSURANCE MARKETS: THE DISCRETE EFFORT CASE. James A. Ligon * University of Alabama.

The Health Insurance Game

Continuous random variables

MA300.2 Game Theory 2005, LSE

A Model of an Oligopoly in an Insurance Market

UCLA Department of Economics Ph.D. Preliminary Exam Industrial Organization Field Exam (Spring 2010) Use SEPARATE booklets to answer each question

March 30, Why do economists (and increasingly, engineers and computer scientists) study auctions?

Homework 2: Dynamic Moral Hazard

Microeconomics of Banking: Lecture 3

Models and Decision with Financial Applications UNIT 1: Elements of Decision under Uncertainty

FDPE Microeconomics 3 Spring 2017 Pauli Murto TA: Tsz-Ning Wong (These solution hints are based on Julia Salmi s solution hints for Spring 2015.

Choice under Uncertainty

1. Introduction of another instrument of savings, namely, capital

Subsidy Design and Asymmetric Information: Wealth versus Bene ts

MA200.2 Game Theory II, LSE

Online Shopping Intermediaries: The Strategic Design of Search Environments

Advanced Risk Management

Efficiency in auctions with crossholdings

Adverse Selection: The Market for Lemons

Industrial Organization II: Markets with Asymmetric Information (SIO13)

Chapter 1 Microeconomics of Consumer Theory

Auctions. Agenda. Definition. Syllabus: Mansfield, chapter 15 Jehle, chapter 9

Lecture 9: Social Insurance: General Concepts

Problem Set. Solutions to the problems appear at the end of this document.

Part 4: Market Failure II - Asymmetric Information - Uncertainty

Teoria das organizações e contratos

Comparative Cheap Talk

Fire sales, inefficient banking and liquidity ratios

Microeconomics II. CIDE, MsC Economics. List of Problems

Consumer s behavior under uncertainty

Finance: Risk Management

KIER DISCUSSION PAPER SERIES

Adverse Selection, Reputation and Sudden Collapses in Securitized Loan Markets

Department of Economics The Ohio State University Final Exam Questions and Answers Econ 8712

Auctions: Types and Equilibriums

Chapter 4 Continuous Random Variables and Probability Distributions

A Simple Model of Bank Employee Compensation

Basic Informational Economics Assignment #4 for Managerial Economics, ECO 351M, Fall 2016 Due, Monday October 31 (Halloween).

1 Rational Expectations Equilibrium

STX FACULTY WORKING PAPER NO Risk Aversion and the Purchase of Risky Insurance. Harris Schlesinger

Payment card interchange fees and price discrimination

Recap First-Price Revenue Equivalence Optimal Auctions. Auction Theory II. Lecture 19. Auction Theory II Lecture 19, Slide 1

Large Losses and Equilibrium in Insurance Markets. Lisa L. Posey a. Paul D. Thistle b

October 9. The problem of ties (i.e., = ) will not matter here because it will occur with probability

Hedonic Equilibrium. December 1, 2011

Dynamic Trading in a Durable Good Market with Asymmetric Information *

Econ 101A Final exam Mo 18 May, 2009.

q S pq S cq S. b q D p = 0, firms maximize profits taking prices as given, so they which to produce 0, p < c , p > c

Comparison of Payoff Distributions in Terms of Return and Risk

Adverse Selection and Costly External Finance

Annuity Markets and Capital Accumulation

ECON DISCUSSION NOTES ON CONTRACT LAW. Contracts. I.1 Bargain Theory. I.2 Damages Part 1. I.3 Reliance

CHOICE THEORY, UTILITY FUNCTIONS AND RISK AVERSION

Homework 3: Asset Pricing

Bernanke and Gertler [1989]

Problem Set 5 - Solution Hints

Supplementary Appendix for Are CDS Auctions Biased and Inefficient?

Chapter 4 Continuous Random Variables and Probability Distributions

11 06 Class 12 Forwards and Futures

Final Examination December 14, Economics 5010 AF3.0 : Applied Microeconomics. time=2.5 hours

So we turn now to many-to-one matching with money, which is generally seen as a model of firms hiring workers

Revision Lecture. MSc Finance: Theory of Finance I MSc Economics: Financial Economics I

BEEM109 Experimental Economics and Finance

Dynamic Contracts. Prof. Lutz Hendricks. December 5, Econ720

Problem 3,a. ds 1 (s 2 ) ds 2 < 0. = (1+t)

Practice Problems. U(w, e) = p w e 2,

Mossin s Theorem for Upper-Limit Insurance Policies

Unraveling versus Unraveling: A Memo on Competitive Equilibriums and Trade in Insurance Markets

1. Average Value of a Continuous Function. MATH 1003 Calculus and Linear Algebra (Lecture 30) Average Value of a Continuous Function

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India July 2012

Choice under risk and uncertainty

1. If four dice are rolled, what is the probability of obtaining two identical odd numbers and two identical even numbers?

Arbitrage Pricing. What is an Equivalent Martingale Measure, and why should a bookie care? Department of Mathematics University of Texas at Austin

The Zero Lower Bound

Directed Search and the Futility of Cheap Talk

3. Prove Lemma 1 of the handout Risk Aversion.

Economics 385: Suggested Solutions 1

Homework Assignment #6. Due Tuesday, 11/28/06. Multiple Choice Questions:

Rethinking Incomplete Contracts

Transcription:

In this chapter, we discuss the fundamental problem of adverse selection in health insurance. This discussion is on asymmetric information between the consumer and the insurer. Consumers possess private information about their health status. Insurance companies do not have access this information. All of us know our own medical histories, which presumably will yield some information about our medical experiences in the future. Thus, we likely know something about our own medical expenses, and this information is unknown to the insurer, although this is an important piece of information for the determination of insurance premium. In the economics literature, it is well recognized that asymmetric information is a friction that prevents trades between economic agents who otherwise might benefit from each other. If a consumer s likelihood of falling ill is his private information, then an insurer may fear that its policy only is bought by those consumers whose illness likelihood is high. Risk sharing may become impossible. Without asymmetric information, there can be mutually beneficial trade between an insurer and a risk-averse consumer. We now describe a model where asymmetric information does impose frictions on market transactions, but such frictions still allow some trade in the market. This phenomenon, restricted trade, is indicative of the sort of problems due to asymmetric information and adverse selection. There is a set of consumers. We will start with a continuous model; later we will use a discrete model. The total mass of these consumers is normalized to 1. It is common knowledge that each consumer becomes sick with probability p, where 0 <p<1. A consumer is characterized by his medical expenditure c, which is distributed according to the density function f(c) and cumulative density function F (c) on the interval [0, c]. Without any insurance, a consumer s expected utility is EU(no insurance) =(1 p)u(w )+p where U is a concave utility function and W is a consumer s wealth or income. Z c 0 U(W c)f(c) dc, (1) 1 Symmetric Information Suppose that there is a competitive insurance market. An insurance contract consists of a premium, and an insurer s promise to reimburse the consumer for all medical expenditure if the consumer becomes sick. Each 1

firm in the competitive insurance market therefore sets a premium. Because there are many firms, each firm must make zero expected profit. There is symmetric information when consumers and insurers share the same information. Let us suppose that consumers do not know the his medical expenditure c when he becomes sick. He does know that it follows the distribution described above. The insurer has exactly the same information as the consumers. The competitive equilibrium can be described as follows. Each firm will fully insure the consumers. The consumers are risk averse, so the best outcome will be for the insurer to bear all the risks. If a consumer incurs a medical expense c ex post, that gives rise to income fluctuations. A risk averse consumer would prefer to smooth out these fluctuations. An insurer can do that. The equilibrium contract will simply be defined by an actuarially fair premium, π, given by the probability of consumers falling ill, p, multiplied by the expected cost of medical expenses: π = p Z c 0 cf(c) dc. (2) Under this premium, an insurer will break even, and all consumers receive full insurance. 2 Asymmetric Information Suppose now that a consumer knows his medical expenditure c before he purchases an insurance contract. We continue to assume that each consumer falls ill with probability p. Now consumers are different. Some are more healthy; they will have a lower medical expense even if they fall ill. Others are less healthy; they will have a higher medical expense if they fall ill. Asymmetric information is when this information about medical expense is only available to the consumer, not any insurance company. In the literature, a consumer with a medical expenditure c is often abbreviated to a type-c consumer. All consumers do still face the uncertainty of falling ill or not. There is a probability that each consumer may become ill, and this probability, p, is common knowledge. We first consider a consumer s expected utility if he does not have an insurance contract. This expected utility for a type-c consumer is EU(no insurance c) =(1 p)u(w )+pu(w c). (3) 2

Here, consumers who are more healthy (lower values of c) have higher expected utilities. The expression in (3) is decreasing in c. The expected utility of type-c consumer also establishes his reservation utility. If a premium is too high, a consumer may forgo insurance; if it is low enough, he may purchase. In fact, suppose that the premium of insurance contracts in the market is π. Recall that an insurance contract will shield the consumer from all medical expenses, so if a type-c consumer buys this contract, his medical expense c will be reimbursed when he falls ill. A type-c consumer will purchase the contract at premium π if EU(no insurance c) =(1 p)u(w )+pu(w c) U(W π). (4) Now suppose that some type, say bc, is just indifferent between purchasing insurance or not: EU(no insurance bc) =(1 p)u(w )+pu(w bc) =U(W π). (5) What will other types of consumers do? A type-c consumer with c < bc is more healthy, so this consumer is less willing than type-bc to purchase insurance. Because type-bc is just indifferent, a type-c consumer with c < bc will not purchase insurance. Conversely, a type-c consumer with c > bc is less healthy, so this consumer is more willing than type-bc to purchase insurance. All consumers with costs above bc will purchase insurance. This is the adverse selection issue. A full-insurance contract will always attract only those who are less healthy. Given any premium π, those who purchase the insurance policy will be those with costs above a threshold, bc. Less healthy consumers are those who are most willing to purchase insurance. The total demand for insurance therefore is given by the total density of all consumers with cost c above bc. Thetotal number of consumers therefore is 1 F (bc). A firm offering the full insurance contract at a premium π realizes that only those consumers with c>bc will purchase. Therefore to breakeven, the level of the premium must be equal to the expected cost of those consumers with c>bc. This expected cost is π = p R c c cf(c)dc 1 F (bc). (6) In the expression (6), the right-hand side consists of the product of probability of illness, p, and the average cost of those with costs above bc. The denominator, 1 F (bc), is needed to renormalize the total density of 3

those consumers with costs above bc. A competitive equilibrium consists of the premium π and the cost of the consumer who is just indifferent between buying and not buying insurance, bc, that satisfy (5) and (6). The competitive equilibrium bc will always be below c. This means that the insurance market must be active. Consumers who will have very high costs must purchase insurance, and the equilibrium premium must not be exceedingly high. The following argument substantiates this claim. The highest ever premium in this model is pc. Thevaluec is the highest cost level, and it only happens with probability p. Soapremiumequaltopc must allow an insurer to break even. Now a premium equal to pc is an actuarially fair premium. The type-c consumer must accept it. His utility from this contract is U(W pc), and because he is risk averse, we have U(W pc) > (1 p)u(w )+p(u(w c), (7) the right-hand side expression being the expected utility when he has no insurance. Furthermore, because the consumer is risk averse, a type-c consumer with c very close to c must also prefer to purchase insurance at premium pc. Because (7) is a strict inequality, it implies U(W pc) > (1 p)u(w )+p(u(w c + ) for any sufficiently small. This means that a type-(c ) must also prefer to purchase insurance at premium pc. Therefore, the firm actually makes a strictly positive profit with the premium pc. Thisviolates the requirement that firms must make zero profit in a competitive equilibrium. We therefore conclude that the equilibrium premium must be strictly lower than pc. In order words, in equilibrium, a competitive firm must insure some consumers, those with high costs. Adverse selection does lead to inefficiency. Those consumers with low costs will find the equilibrium premium too high, and they refuse to purchase insurance. There is a deadweight loss; if the cost c were common knowledge, a full-insurance contract with premium pc would be offered to the type-c consumer. But this information is unavailable, so such a contract would be attracting too many consumers with higher costs, and the contract with premium pc will not let an insurer break even. 4

Adverse selection does not make the insurance market collapse entirely. Because of risk aversion, even when consumers are offered a premium higher than their expected loss, they may still find it better than staying uninsured. There is some potential gain in trade, and this will be realized in equilibrium. 2.1 An Example The following simple example illustrates the idea. Suppose that the cost c is uniformly distributed on 50, 100, 150, and200. A consumer s loss of illness can be one of these four values, and each happens with probability 1/4. A competitive equilibrium can take the following form. The premium is equal to 175p. The average of 150 and 200 is 175, so the premium is equal to the probability of illness p multiplied by 175. Given this premium at 175p, type-50 and type-100 find that the premium is too expensive: (1 p)u(w )+pu(w 100) >U(W 175p), so they do not buy insurance. But type-150 and type-200 prefer to buy insurance: U(W 175p) > (1 p)u(w )+pu(w 150). Notice that 175p > 150p so in fact the type-150 consumer is being charged more than his expected cost. However, if he is sufficiently risk averse, then he may still find this preferred to being uninsured. Put differently, if his risk premium is high, then he buys the insurance. In this equilibrium, type-50 and type-100 do not buy insurance. Adverse selection implies a high premium. The low cost types choose to bear than risk than buying insurance at the elevated premium. If the consumer is not very risk averse, then even the type-150 consumer may not find it attractive to take the insurance. In that case, the competitive equilibrium will be one where the premium is equal to 200p, and only the type-200 consumer will buy insurance. 5