Under the Prospective Payment System (PPS) implemented by Medicare in
1983, hospitals are paid a set price for each Medicare patient treated
, rather than being reimbursed for the patient's costs as had been don
e previously. An increasing number of other insurers have adopted a si
milar method of hospital payment. In these systems, the price, which d
epends on the patient's Diagnosis Related Group (DRG), is derived from
the average cost over all hospitals of all patients in that DRG. We p
ropose an alternative method for setting prices in hospital prospectiv
e payment systems, called equilibrium pricing, in which prices are der
ived from a linear programming model of competitive equilibrium. To ev
aluate the improvement in incentives associated with equilibrium prici
ng, we define a measure, called the disincentive index, of the extent
to which a set of prices creates economic disincentives to efficient b
ehavior. In the situation in which all hospitals compete in a single m
arket area, we show that equilibrium pricing creates the best possible
economic incentives, i.e., by reducing the disincentive index to zero
. The analysis is then extended to the more realistic situation where
hospitals compete in limited geographical market areas, whereas prices
must be uniformly set for a number of such market areas. We prove tha
t, with an appropriate generalization of the disincentive index, equil
ibrium prices for a single market area are also optimal for multiple m
arket areas. Finally, actual cost and utilization data from hospitals
that compete in eastern Massachusetts are used to determine prices and
to evaluate the associated disincentive index for a simulated prospec
tive payment system. This empirical study shows a dramatic improvement
in the incentives created by equilibrium pricing compared to average-
cost pricing.