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Discriminatory auctions with resale

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Abstract

We consider multi-unit discriminatory auctions where ex ante symmetric bidders have single-unit demands and resale is allowed after the bidding stage. When bidders use the optimal auction to sell items in the resale stage, the equilibrium in the auction without resale is no longer an equilibrium in an auction with resale. We find a symmetric and monotone equilibrium when there are two units for sale, and, interestingly, we show that there may not be a symmetric and monotone equilibrium if there are more than two units.

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Notes

  1. The auctioneer of our model sells units via discriminatory price auctions that have no minimum prices (reserve prices) on units. In the resale stage, we assume that resellers can use optimal mechanisms. Hence, they can use reserve prices.

  2. More specifically, one might think that adding a resale stage to this setup should not alter the equilibrium outcome; all winners have higher valuations than all losers, and so there would be no incentive for resale. We show that this intuition is incorrect: when resale is allowed and resellers have all the bargaining power and can design any mechanism to sell the items, then the equilibrium of the auction without resale, which is symmetric, monotone and efficient, is no longer an equilibrium (Proposition 1). This is because a low-value bidder would act as if she was a high-value bidder and won items to resell them after auction stage.

  3. We are grateful to an anonymous referee for this line of arguments.

  4. This literature has grown more in recent years. See, for instance, Hafalir and Krishna (2009), Lebrun (2010), Cheng and Tan (2010), Cheng (2011), Xu et al. (2013), Virag (2013), and Zheng (2014).

  5. For exceptions, see Pagnozzi and Saral (2013) and Filiz-Ozbay et al. (2015) among others.

  6. These conditions depend on the number of regular bidders and value distribution. For instance, when value distribution is uniform, speculators do not play an active role. In our paper, in contrast, speculative behavior always exists. To the best of our knowledge, Garratt and Troger (2006) are the first to point out that speculation can affect equilibrium behavior in single-unit auctions. We further advance research on this topic by analyzing how speculation affects equilibrium behavior in multi-unit auctions. The main difference between Garratt and Troger (2006) and our paper is that, in Garratt and Troger (2006), there is asymmetric speculation as only special agents called speculators could speculate, whereas in our paper all agents can speculate.

  7. Garratt and Troger (2006) also show that speculators play an active role in second-price or English auctions. In English auctions, because there are many equilibria (some of which are inefficient), resale can affect equilibrium behavior more easily. See also Garratt et al. (2009).

  8. Myerson’s regularity assumption, \(\psi ' \left( x\right) >0 \), is satisfied by many distributions and is commonly made in auction theory and mechanism design literature.

  9. Revealing information about winning bids does not alter results. This is because the winner (reseller) already knows her value and bid while choosing the optimal reserve price. Not revealing information about the losing bids, however, is crucial for our results. The effects of revealing or partially revealing information on bids is beyond the scope of this paper. See Hafalir and Krishna (2008), who argue that there is no symmetric and monotone equilibrium in single-unit first-price auctions with resale when the losing bid is announced. Also see the discussion by Calzolari and Pavan (2006) of a monopolist who optimally designs beliefs in the resale market by partially revealing information to maximize revenue.

  10. The optimal auction is to run a second-price auction with a reserve price \( \frac{z}{2}.\) Then, with probability \(\frac{1}{2},\) the object will be sold at the reserve price, and when the object is sold higher than the reserve price (with probability \(\frac{1}{4}\)) the expected selling price is \(\frac{2}{3}z\) (the expectation of second highest of two random variables uniformly distributed between \(\frac{z}{2}\) and z). Hence, the optimal revenue is \(\frac{1}{2} \times \frac{z}{2}+\frac{1}{4}\times \frac{2z}{3}=\frac{5}{12}z.\)

  11. The optimal auction allocates the object to the bidder who has the highest (positive) virtual value. As it is established in Equation (5.16) in Section 13.5.2 of Krishna (2002), the maximized value of expected revenue is given by the expectation of highest of virtual values and 0.

  12. We generalize this result for a power distribution, \(F(x)=x^a\), in the Online Appendices.

  13. To see the first claim, suppose that \(\beta \left( 0\right) > 0\), then there exists \(\varepsilon \) such that \(\beta \left( \varepsilon \right) > \varepsilon \), and there is a strictly positive probability that the agent with \(\varepsilon \) value will get the unit at price \(\beta \left( \varepsilon \right) > \varepsilon \) while not being able to sell the unit to higher value agents in a symmetric equilibrium. This agent would make a negative payoff, which gives a contradiction. To see the second claim, suppose that \(\beta (x)=c\) for all \(x \in [a,b]\) for some \(a>b\). Then, for any bidder with value \(x \in [a,b]\), by bidding c, there is a strictly positive probability of a tie. Moreover, (i) in case of a tie she will get the object with \(\frac{1}{2}\) or \(\frac{1}{3}\) probability, and (ii) her expected utility for this case has to be positive. Next, one can argue that bidding \(c+\varepsilon \) for a small enough \(\varepsilon \) rather than c would strictly increase her expected utility. This occurs because with this deviation, she increases her chance of winning (for the cases where there was a tie) from \(\frac{1}{2}\) or \(\frac{1}{3}\) to 1. Hence, we reach a contradiction.

  14. The optimal mechanism is a uniform-price auction with a reserve price \(\frac{v}{2}\) when there is one unit to be sold to two bidders whose valuations are uniformly distributed in [0, v]. Therefore, the revenue is \(2\times \frac{1}{2}\times \frac{1}{2}\times \frac{v}{2}+\frac{1}{2}\times \frac{1}{2}\times \frac{2v}{3}=\frac{5}{12}v \).

  15. The variables in integrals klm denote the realizations for the highest, the second highest, and the third highest values among the competitors. The first term in the summation represents the case in which the bidder with value x pays the third highest value, and the last term represents the case in which the bidder with value x pays the reserve price.

  16. The proof in Reny (2011) is done by appealing to Remark 3.1 in Reny (1999) and showing that this game is “better-reply secure”. From the extensions of Reny (2011), one may conjecture that if a game (i) is symmetric, (ii) is better-reply secure, and (iii) satisfies G.1–G.5, then there exists a symmetric monotone equilibrium. However, this conjecture is wrong because our game can be shown to be better-reply secure.

  17. We are grateful to an anonymous referee for raising this point.

  18. The optimal mechanism is a uniform-price auction (where the price is the highest of the highest loser’s bid and the reserve price) with reserve price \(\frac{v}{2}\) when there are two units to be sold to three bidders whose valuations are uniformly distributed in [0, v]. Therefore, the revenue is \(\frac{3}{8}\times \frac{v}{2}+\frac{3}{8}\times 2\times \frac{v}{2}+\frac{1}{ 8}\times 2\times \frac{5v}{8}=\frac{23}{32}v\).

  19. The optimal mechanism is a uniform-price auction with reserve price \(\frac{v}{2}\) when there is one unit to be sold to two bidders whose valuations are uniformly distributed in [0, v]. Therefore, the revenue is \(2\times \frac{1}{2}\times \frac{1}{2}\times \frac{v}{2}+\frac{1}{2}\times \frac{1}{2}\times \frac{2v}{3}=\frac{5}{12}v \).

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Acknowledgements

We are very grateful and deeply indebted to Vijay Krishna for his contributions to an earlier version of this paper. We also thank Christoph Mueller and Gabor Virag for valuable discussion and anonymous reviewers for helpful comments.

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Correspondence to Isa Hafalir.

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Hafalir acknowledges financial support from National Science Foundation Grant SES-1326584.

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Appendix

Appendix

Proof of Proposition 1

The proof follows from an argument that is similar to the one made in Example 1. Suppose every bidder other than bidder 1 uses the no resale equilibrium strategy. Consider bidder 1 with value 1 and the alternative strategy \(\left( \beta _{1}^{N}\left( 1\right) ,\beta _{1}^{N}\left( 1\right) ,0,\ldots ,0\right) \) (similar strategies can be found for other values in \(\left( 0,1\right) \)). With this strategy, this bidder will receive two units. She can sell the second unit using a second-price auction with a reserve price \(\frac{1}{2} ,\) which gives her an expected revenue that is strictly higher than \(\mathbb {E}\left[ Y_{k}^{\left( n-1\right) }\right] \). This is because \(\mathbb {E}\left[ Y_{k}^{\left( n-1\right) }\right] \) is the expected revenue of the second-price auction with no reserve price, and the expected revenue of a second-price auction with optimal reserve price is strictly higher than that. Since this bidder has paid \(\mathbb {E}\left[ Y_{k}^{\left( n-1\right) }\right] \) for the second unit and gets strictly more than \(\mathbb {E}\left[ Y_{k}^{\left( n-1\right) }\right] \) in the resale stage, this deviation strictly increases her utility. \(\beta ^{N}\left( x\right) \) is not an equilibrium of discriminatory auctions with resale. \(\square \)

Proof of Lemma 1

First, by method of contradiction, suppose that \(\beta ( x) >\frac{23}{64}x\) for some \(x\in \left[ 0,c\right] .\) Consider a bidder with value \( y=\theta ^{-1}\left( \beta \left( x\right) \right) \). When this bidder receives three units from the auctioneer, his total payment for second and third object is \(\delta \left( y\right) +\theta \left( y\right) \ge 2\theta \left( y\right) =2 \beta \left( x\right) >\frac{23}{32}x,\) whereas his expected revenue from resale for this case is only \(\frac{23}{32} x\).Footnote 18 Therefore, he makes a loss when he receives 3 units. So, he is better off by deviating to \((\beta ( y) ,0,0) \). \(\square \)

Proof of Lemma 2

For (i), by method of contradiction, suppose that there exists \(t\in \left[ 0,\theta \left( 1\right) \right] \ \) such that \(\frac{d\beta ^{-1}}{dt}( t) >\frac{32}{23}\) and \(\delta ^{-1}\left( t\right) <\theta ^{-1}\left( t\right) .\) Then we can argue that type \(\theta ^{-1}\left( t\right) \equiv y\) strictly benefits by deviating to \(\left( \beta \left( y\right) ,\delta \left( y\right) ,t+\varepsilon \right) \) for a small enough \( \varepsilon \). This is because, by deviating to \(t+\varepsilon \) from t for his third bid (and this is feasible because \(\delta ^{-1}\left( t\right) <\theta ^{-1}\left( t\right) \)), this bidder (i) increases the probability of getting three units and (ii) increases his net utility when he sells two units to unassigned bidders (his payment increases by \( \varepsilon \) and his expected revenue increases by strictly more than \( \frac{23}{32}\times \frac{32}{23}\times \varepsilon =\varepsilon .\))

Next, because \(\beta \left( 0\right) =0\) and \(\beta \left( x\right) \le \frac{ 23}{64}x\) for all \(x\in \left[ 0,c\right] ,\) we have \(\beta ^{\prime }\left( 0\right) \le \frac{23}{64}\) or \(\frac{\mathrm{d}(\beta ^{-1} ) }{\mathrm{d}x} (0)\ge \frac{64}{23}>\frac{32}{23}.\) Because \(\beta \) is continuously differentiable, there exists \(d\le c\) such that \(\frac{\mathrm{d}(\beta ^{-1} ) }{\mathrm{d}x} (x)>\frac{32}{23}\) for all \(x\in \left[ 0,d\right] \); part (i) implies that \(\delta \left( x\right) =\theta \left( x\right) \) for all \(x\in \left[ 0,d\right] .\)\(\square \)

Proof of Lemma 3

By Lemma 2, we know that for all \(x\in [ 0,d] ,\) we have \(\beta ( x) \in \left[ 0,\frac{23}{64}x\right] \) and \( \delta \left( x\right) =\theta \left( x\right) \). Let us define the net utility of a buyer with value \(x\in [ 0,d] \) when he is a seller in the resale stage:Footnote 19

$$\begin{aligned} s\left( x\right)&= \beta ^{-1}\left( \theta \left( x\right) \right) ^{3}\left( \frac{23}{32}\beta ^{-1}\left( \theta \left( x\right) \right) -2\theta \left( x\right) \right) \\&\quad + 3 \beta ^{-1}\left( \theta \left( x\right) \right) ^{2}\left( x-\beta ^{-1}\left( \theta \left( x\right) \right) \right) \left( \frac{5}{12}\beta ^{-1}\left( \theta \left( x\right) \right) -\theta \left( x\right) \right) . \end{aligned}$$

First, if \(s'( x) >0\) then we have \( \theta ( x) =\beta ( x)\). This is because whenever \( s'(x) \) is positive, a bidder with value x becomes strictly better off by increasing his second and third bids by \(\varepsilon \), and doing this would be feasible if \(\beta \left( x\right) >\theta \left( x\right) \).

Next, by method of contradiction, suppose that there exists no \(e\in (0,1]\) such that for all \(x\in \left[ 0,e\right] ,\)\(\beta \left( x\right) =\delta \left( x\right) =\theta \left( x\right) .\) This means there exists \(f>0\) such that we have \(\beta \left( x\right) >\theta \left( x\right) \) for all \( x\in (0,f]\). Note that Lemma 1 implies \(\frac{23}{32}\beta ^{-1}(\theta (x))>2\theta (x)\) and \(\frac{5}{12}\beta ^{-1}(\theta (x))>\theta (x)\). As a result, \(s(x)>0\). This implies that \(s'(y)>0\) for some \(y\in (0,f]\) since \(s(0)=0\). Therefore, we have \(\theta (y) =\beta ( y)\). \(\square \)

Proof of Lemma 4

Consider a bidder with value \(x\in \left( 0,e\right) \) who bids as if his value is z (which is very close to x.) His expected utility is given by

$$\begin{aligned} u\left( x,z\right) =z^{3}\left( x-3\beta \left( z\right) +\frac{23}{32} z\right) +R\left( x,z\right) , \end{aligned}$$

where \(R\left( x,z\right) \), first, is his expected utility from the resale stage when he is a buyer and, second, is given by

$$\begin{aligned} R\left( x,z\right)&= 6\int _{z}^{\min \{1,2x\}}\int _{\frac{k}{2}}^{x}\int _{ \frac{k}{2}}^{l}\left( x-m\right) \mathrm{d}m\mathrm{d}l\mathrm{d}k\\&\quad +6\int _{z}^{\min \{1,2x\}}\int _{x}^{k}\int _{\frac{k}{2}}^{x}\left( x-m\right) \mathrm{d}m\mathrm{d}l\mathrm{d}k \\&\quad +6\int _{z}^{\min \{1,2x\}}\int _{\frac{k}{2}}^{k}\int _{0}^{\frac{k}{2} }\left( x-\frac{k}{2}\right) \mathrm{d}m\mathrm{d}l\mathrm{d}k\\&\quad +6\int _{z}^{\min \{1,2x\}}\int _{0}^{\frac{ k}{2}}\int _{0}^{l}\left( x-\frac{k}{2}\right) \mathrm{d}m\mathrm{d}l\mathrm{d}k, \end{aligned}$$

where kl and m denote the realizations for the highest, the second highest, and the third highest values among the competitors, respectively; the first two terms in the summation represent the cases in which the bidder with value x pays the third highest value; and the last two terms in the summation represent the cases in which the bidder with value x pays the reserve price.

A necessary condition for an equilibrium is \( \left. \frac{\partial u\left( x,z\right) }{\partial z}\right| _{z=x}=0\). Note that

$$\begin{aligned} \frac{\partial R\left( x,z\right) }{\partial z}&= -6\left( \int _{\frac{z}{2} }^{x}\int _{\frac{z}{2}}^{l}\left( x-m\right) \mathrm{d}m\mathrm{d}l+\int _{x}^{z}\int _{\frac{z}{ 2}}^{x}\left( x-m\right) \mathrm{d}m\mathrm{d}l\right. \\&\quad +\int _{\frac{z}{2}}^{z}\int _{0}^{\frac{z}{2} }\left( x-\frac{z}{2}\right) \mathrm{d}m\mathrm{d}l \\&\quad \left. +\int _{0}^{\frac{z}{2}}\int _{0}^{l}\left( x- \frac{z}{2}\right) \mathrm{d}m\mathrm{d}l\right) = x^{3}+\frac{5}{8}z^{3}-3x^{2}z. \end{aligned}$$

The necessary condition can be rewritten as

$$\begin{aligned} \left. \frac{\partial }{\partial z}\left( z^{3}\left( x-3\beta \left( z\right) +\frac{23}{32}z\right) \right) + \left( x^{3}+\frac{5}{8}z^{3}-3x^{2}z\right) \right| _{z=x} = 0. \end{aligned}$$

This differential equation will have a unique solution, which is \(\beta \left( x\right) =\frac{3}{8}x\). \(\square \)

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Hafalir, I., Kurnaz, M. Discriminatory auctions with resale. Econ Theory Bull 7, 173–189 (2019). https://doi.org/10.1007/s40505-018-0152-9

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