Логотип Солвхаб

Pandemic Possibility Frontier

Last year, IEO contestants were asked to solve a problem about an optimal lockdown. Unfortunately, in 2021 this topic is no less relevant. So suppose society is facing a severe viral pandemic and contemplates introducing a lockdown. How strong should the lockdown be? The answer to this question apparently depends on the preferences of the society between the lives/health of people and GDP. Or does it really?

Let d \in [0, 1] be the level (strength) of a lockdown (d=0 is no lockdown while d=1 is complete lockdown) and \nu be some measure of the total amount of virus in circulation. The relation between the two is given by \nu = 2(1 − d). Aggregate demand in the economy is given by the function Y = 10 − 2d − P while aggregate supply is governed by the equation Y = 2 + P − d − \alpha \cdot \nu where \alpha \geq 0 is a parameter; Y is real GDP and P is price level, as usual. Finally, let H be the aggregate health of people; it depends on the amount of virus in circulation as follows: H = 3 − \nu /2.

Define the Pandemic Possibility Frontier (PPF, for short) as the set of all pairs (Y, H) that can be achieved by a policy-maker by choosing various levels of lockdown d \in [0, 1].

(a) (7 rp) Give a reason for why \alpha may be positive.

(b) (16 rp) Sketch the PPF and show the coordinates of its extreme points if \alpha=1 and \alpha=2 (on two different diagrams).

(c) (7 rp) Suppose the preferences of the society over GDP-Health combinations (Y,H) are given by some family of indifference curves. In practice, no one knows a society's indifference curves exactly; this generates heated debate about the optimal level of lockdown. For which values of \alpha a policy-maker does not have to know the society's indifference curves over(Y,H) in order to find the optimal level of lockdown? (The policy-maker still knows all the data in the task and assumes correctly that the society values each of Y and H.)

ИИ Помощник
Требуется авторизацияВойдите на сервис, чтобы получить доступ к ИИ ассистенту