You are negotiating to buy an item whose true quality is unknown to you.
-
With probability
0.7
, the item is
defective
and would be worth
$7,000
to you.
-
With probability
0.3
, the item is
good
and would be worth
$10,000
to you.
-
You make a single take-it-or-leave-it offer price
p
.
-
The seller will accept if and only if:
-
If the item is defective:
p ≥ 3,000
-
If the item is good:
p ≥ 7,000
Assume the seller knows the quality; you only know the prior probabilities.
-
As a function of
p
, compute:
-
the probability the offer is accepted,
-
your expected profit
E[value − p]
(ex ante, i.e., before knowing whether the offer is accepted).
-
Find the offer price
p
that maximizes your ex-ante expected profit.
-
Compute the posterior probability the item is good given that the seller accepts your offer,
P(good | accept)
, for the key price regions.
-
(Follow-up using exponential distribution) Suppose that if the item is defective, the time-to-failure
T
is exponentially distributed:
T∼Exp(λ)
, and if the item is good it never fails in your time horizon. For an offer price
p
in each acceptance region, compute
Pr(T≤t∣accept)
.