Uncertainty and Risk - DARP

Uncertainty and Risk - DARP Uncertainty and Risk - DARP

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Microeconomics CHAPTER 8. UNCERTAINTY AND RISK Exercise 8.12 A risk-averse person has wealth y 0 and faces a risk of loss L < y 0 with probability . An insurance company o¤ers cover of the loss at a premium > L. It is possible to take out partial cover on a pro-rata basis, so that an amount tL of the loss can be covered at cost t where 0 < t < 1. 1. Explain why the person will not choose full insurance 2. Find the conditions that will determine t , the optimal value of t. 3. Show how t will change as y 0 increases if all other parameters remain unchanged. Outline Answer: 1. Consider the person’s wealth after taking out (partial) insurance cover using the two-state model (no loss;loss). If the person remained uninsured it would be (y 0 ; y 0 L); if he insures fully it is (y 0 ; y 0 ). So if he insures a proportion t for the pro-rata premium wealth in the two states will be which becomes ([1 t] y 0 + t [y 0 ] ; [1 t] [y 0 L] + t [y 0 ]) So expected utility is given by Therefore @Eu @t (y 0 t; y 0 t [1 t] L) Eu = [1 ] u (y 0 t) + u (y 0 t [1 t] L) = [1 ] u y (y 0 t) + [L ] u y (y 0 t [1 t] L) Consider what happens in the neighbourhood of t = 1 (full insurance). We get @Eu @t = [1 ] u y (y 0 ) + [L ] u y (y 0 ) t=1 = [L ] u y (y 0 ) We know that u y (y 0 ) > 0 (positive marginal utility of wealth) and, by assumption, L < . Therefore this expression is strictly negative which means that in the neighbourhood of full insurance (t = 1) the individual could increase expected utility by cutting down on the insurance cover. 2. For an interior maximum we have @Eu @t which means that the optimal t is given as the solution to the equation = 0 [1 ] u y (y 0 t ) + [L ] u y (y 0 t [1 t ] L) = 0 cFrank Cowell 2006 130

Microeconomics 3. Di¤erentiating the above equation with respect to y 0 we get [1 ] u yy (y 0 t ) 1 @t +[L ] u yy (y 0 t [1 t ] L) 1 [ L] @t = 0 @y 0 @y 0 which gives @t @y 0 = [1 ] u yy (y 0 t ) [L ] u yy (y 0 t [1 t ] L) [1 ] u yy (y 0 t ) 2 + [L ] 2 u yy (y 0 t [1 t ] L) The denominator of this must be negative: u yy () is everywhere negative and the other terms are positive. The numerator is positive if DARA holds: therefore an increase in wealth reduces the demand for insurance coverage. cFrank Cowell 2006 131

Microeconomics CHAPTER 8. UNCERTAINTY AND RISK<br />

Exercise 8.12 A risk-averse person has wealth y 0 <strong>and</strong> faces a risk of loss<br />

L < y 0 with probability . An insurance company o¤ers cover of the loss at<br />

a premium > L. It is possible to take out partial cover on a pro-rata basis,<br />

so that an amount tL of the loss can be covered at cost t where 0 < t < 1.<br />

1. Explain why the person will not choose full insurance<br />

2. Find the conditions that will determine t , the optimal value of t.<br />

3. Show how t will change as y 0 increases if all other parameters remain<br />

unchanged.<br />

Outline Answer:<br />

1. Consider the person’s wealth after taking out (partial) insurance cover<br />

using the two-state model (no loss;loss). If the person remained uninsured<br />

it would be (y 0 ; y 0 L); if he insures fully it is (y 0 ; y 0 ). So<br />

if he insures a proportion t for the pro-rata premium wealth in the two<br />

states will be<br />

which becomes<br />

([1 t] y 0 + t [y 0 ] ; [1 t] [y 0 L] + t [y 0 ])<br />

So expected utility is given by<br />

Therefore<br />

@Eu<br />

@t<br />

(y 0 t; y 0 t [1 t] L)<br />

Eu = [1 ] u (y 0 t) + u (y 0 t [1 t] L)<br />

= [1 ] u y (y 0 t) + [L ] u y (y 0 t [1 t] L)<br />

Consider what happens in the neighbourhood of t = 1 (full insurance).<br />

We get<br />

@Eu<br />

@t = [1 ] u y (y 0 ) + [L ] u y (y 0 )<br />

t=1<br />

= [L ] u y (y 0 )<br />

We know that u y (y 0 ) > 0 (positive marginal utility of wealth) <strong>and</strong>, by<br />

assumption, L < . Therefore this expression is strictly negative which<br />

means that in the neighbourhood of full insurance (t = 1) the individual<br />

could increase expected utility by cutting down on the insurance cover.<br />

2. For an interior maximum we have<br />

@Eu<br />

@t<br />

which means that the optimal t is given as the solution to the equation<br />

= 0<br />

[1 ] u y (y 0 t ) + [L ] u y (y 0 t [1 t ] L) = 0<br />

cFrank Cowell 2006 130

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