434 EXTERNALITIES (Ch. 35)
(b) Because Jim and Tammy have quasilinear utility functions, their util-
ity possibility frontier includes a straight line segment. Furthermore, this
segment can be found by maximizing the sum of their utilities. Notice
that
UJ(cJ,x,y)+UT(cT,x,y)
But we know from the family budget constraint that cJ+cT=1,000,000−
20x−100y. Therefore we can write
Let us now choose xand yso as to maximize UJ(cJ,x,y)+UT(cT,x,y).
Setting the partial derivatives with respect to xand yequal to zero, we
find the maximum where x=16.67 and y=4.54 .Ifweplug
these numbers into the equation UJ(cJ,x,y)+UT(cT,x,y)=1,000,000+
500 ln x+500 ln y−30x−110y, we find that the utility possibility frontier is
a calculator or a log table to find this answer.) Along this frontier, the
total expenditure on the annoying habits Xand Yby Jim and Tammy is
way of dividing this expenditure corresponds to a different point on the
utility possibility frontier. The slope of the utility possibility frontier
constructed in this way is -1.
35.8 (0) An airport is located next to a large tract of land owned by a
housing developer. The developer would like to build houses on this land,
but noise from the airport reduces the value of the land. The more planes
that fly, the lower is the amount of profits that the developer makes. Let
Xbe the number of planes that fly per day and let Ybe the number of
houses that the developer builds. The airport’s total profits are 48X−X2,
and the developer’s total profits are 60Y−Y2−XY . Let us consider the
outcome under various assumptions about institutional rules and about
bargaining between the airport and the developer.
(a) “Free to Choose with No Bargaining”: Suppose that no bargains can
be struck between the airport and the developer and that each can decide
on its own level of activity. No matter how many houses the developer
builds, the number of planes per day that maximizes profits for the airport
is 24. Given that the airport is landing this number of planes, the