Auction Design without Commitment



Finally we check the case of random h. Note that even if g h is random, it has
to allocate the good to the same buyer as
φE [p] does. Thus randomness of g h
may only concern the monetary transfer m. The proof, which is by induction,
proceeds along the above lines. It is easy to verify that (11) holds also for any
randomly generated monetary transfer
m under θik -i . Moreover, (16) needs to
hold for the
expected transfer m under (θk-i) . Again, this just means that (11)
holds as equality for each
m, thus mE (i, θ-i, p) is implemented with probability
one under all
θik, θ-i supp(p). This completes the proof.

B Appendix

Non-stationarity of σλ

Let n =1and assume the "no gap" -case 0 Θ 6= {0}. We construct a seller’s
choice function
σλ that allows the seller to commit to any price λ Θ. Define a
take-it-or-leave-it offer

φλ(θ)= ½ (1,λ), ifθλ,
φ (θ)= (0, 0), ifθ<λ.

That is, "sell with price λ to any type θ at least λ and do not sell to anyone else".
Define σλ such that

σλ[p] =   φλ, if0,λ supp(p),

I 1(1,θ(p)), otherwise.

We claim that σλ satisfies the one-deviation property.

(i) If 0,λ supp(p), then {(1, λ), (0, 0)} = σλ [p]. Now:

- 0 < λ = θ(p((1 ,λ) ,σλ [p])) and thus σλ [p((1 ,λ) ,σλ [p])] = 1(1,λ) , and

- 0 = θ(p((0, 0),σλ[p])) and thus σλ[p((0, 0),σλ[p])] = 1(o,o).

(ii) If 0 supp(p) and/or λ supp(p), then σλ(p) = 1(1,θ(p)) and σλ(p) = 1(0,0),
respectively.

Since constant mechanisms do not affect beliefs, σλ satisfies the one-deviation
property. Thus, the seller can commit to any price
λ supp(p).

We now argue that σλ is not stationary. To see this, let 0,λ supp(p). Find
the degenerate prior
10 such that supp(10) = {0} 63 λ. Then supp(10) supp(p).
However,
σλ [10] = 1(1,0) and v((1, 0)) = v((0, 0)) = 0, violating stationarity.

This result is analogous to Ausubel and Deneckere (1989), who show that any
price can be supported in equilibrium in the one sided offers bargaining game
when the discount factor
δ tends to 1. Strategies needed for these equilibria are
complicated, i.e. non-stationary.

References

[1] Ausubel, L. and Cramton, P. (1999), The Optimality of Being Efficient,
working paper, University of Maryland

20



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