Piotr Dworczak

Becker Friedman Institute
University of Chicago
1126 E. 59th Street, SHFE 215
Chicago, IL 60637

Curriculum Vitae

I am a Research Fellow at the Becker Friedman Institute, University of Chicago. I will be joining the Economics Department at Northwestern as Assistant Professor in July 2018. I received my PhD from Stanford GSB under the supervision of Andy Skrzypacz and Paul Milgrom.

As an economic theorist, I work mainly on Mechanism and Information Design. I am particularly interested in Information in Financial Markets and Auction Theory.


Redistribution through Markets (with Scott Duke Kominers and Mohammad Akbarpour)

Even when global income redistribution is not feasible, market designers can seek to mitigate inequality within individual markets. If sellers are systematically poorer than buyers, for example, they will be willing to sell at relatively low prices. Yet a designer who cares about inequality might prefer to set higher prices precisely when sellers are poor -- effectively, using the market as a redistributive tool. In this paper, we seek to understand how to design goods markets optimally in the presence of persistent inequality. Using a mechanism design approach, we find that redistribution through markets can indeed be optimal. When there is substantial inequality across sides of the market, the designer uses a tax-like mechanism, introducing a wedge between the buyer and seller prices, and redistributing the resulting surplus to the poorer side of the market via lump-sum payments. When there is significant within-side inequality, meanwhile, the designer imposes price controls even though doing so induces rationing.

Mechanism Design with Aftermarkets: Cutoff Mechanisms
R&R at Econometrica

I study a mechanism design problem of allocating a single good to one of several agents. The mechanism is followed by an aftermarket, that is, a post-mechanism game played between the agent who acquired the good and third-party market participants. The designer has preferences over final outcomes, but she cannot redesign the aftermarket. However, she can influence its information structure by disclosing information elicited by the mechanism. I introduce a class of allocation and disclosure rules, called cutoff rules, that disclose information about the buyer's type only by revealing information about the random threshold (cutoff) that she had to outbid to win the object. A rule is implementable regardless of the form of the aftermarket and the underlying distribution of types if and only if it is a cutoff rule. Cutoff mechanisms are tractable, and admit an indirect implementation that often makes them easy to use in practice. I provide sufficient conditions for particularly simple designs, such as a second-price auction with disclosure of the price, to be optimal within the class of cutoff mechanisms. The theory is illustrated with an application to the design of trading rules and post-transaction transparency in financial over-the-counter markets. Online Appendix

Mechanism Design with Aftermarkets: On the Optimality of Cutoff Mechanisms (Preliminary)

In a companion paper, I introduced a class of cutoff mechanisms, characterized their properties, and derived the optimal mechanism within the class. In this paper, under the assumption that the aftermarket payoffs are determined by a binary decision of the third party, I provide sufficient conditions for optimality of cutoff mechanisms. I also analyze a version of the model in which cutoff mechanisms are sometimes suboptimal. I derive robust payoff bounds on their performance, and show that by using a cutoff mechanism the designer can often guarantee a large fraction of the payoff of the optimal (non-cutoff) mechanism.

Mechanism Design with Aftermarkets: On the Impossibility of Pure Information Intermediation (Preliminary)

A mediator, with no prior information and no control over the market protocol, attempts to redesign the information structure in the market by running an information intermediation mechanism with transfers that first elicits information from an agent, and then discloses information to another market participant (third party). The note establishes a general impossibility result: If the third party has full bargaining power in the interaction with the agent, all incentive-compatible information intermediation mechanisms are uninformative about the agent's type.

Benchmarks in Search Markets (with Darrell Duffie and Haoxiang Zhu)
The Journal of Finance, 2017, awarded the Amundi Smith Breeden First Prize

We characterize the price-transparency role of benchmarks in over-the-counter markets. A benchmark can, under conditions, raise social surplus by increasing the volume of beneficial trade, facilitating more efficient matching between dealers and customers, and reducing search costs. Although the market transparency promoted by benchmarks reduces dealers’ profit margins, dealers may nonetheless introduce a benchmark to encourage greater market participation by investors. Lowcost dealers may also introduce a benchmark to increase their market share relative to high-cost dealers. We construct a revelation mechanism that maximizes welfare subject to search frictions, and show conditions under which it coincides with announcing the benchmark. Online Appendix
A non-technical summary at VOX: In Support of Transparent Financial Benchmarks

Deferred Acceptance with Compensation Chains
Best Paper with Student Lead Author award at the EC'16 conference (EC version)

I introduce a class of algorithms called Deferred Acceptance with Compensation Chains (DACC). DACC algorithms generalize the DA algorithms of Gale and Shapley (1962) by allowing both sides of the market to make offers. The main result is a characterization of the set of stable matchings: a matching is stable if and only if it is the outcome of a DACC algorithm. DACC algorithms are an attractive alternative for matching markets in which the designer is concerned about fairness. The proof of convergence of DACC algorithms uses a novel technique based on a construction of a potential function.

The Simple Economics of Optimal Persuasion (with Giorgio Martini)
R&R at the Journal of Political Economy

Consider a Bayesian persuasion problem in which the Sender's preferences depend only on the mean of posterior beliefs. We show that there exists a price schedule for posterior means such that the Sender's problem becomes a consumer-like choice problem: The Sender purchases posterior means using the prior distribution as her endowment. Prices are determined in equilibrium of a Walrasian economy with the Sender as the only consumer and a single firm that has the technology to garble the state. Welfare theorems provide a verification tool for optimality of a persuasion scheme, and characterize the structure of prices that support the optimal solution. This price-theoretic approach yields a tractable solution method for persuasion problems with infinite state spaces. As an application, we provide a necessary and sufficient condition for optimality of a monotone partitional signal. We show that the approach extends to competition in persuasion and persuasion problems with no restrictions on Sender's utility.

The Effects of Post-Auction Bargaining between Bidders
An additional award in the Best Paper Prize for Young Economists category at the 2015 WIEM conference

I study an auction model in which the auction is followed by bargaining between bidders. Bidders with multi-unit demand bid for an object and then bargain over additional units. In the presence of post-auction interaction between players, equilibrium bidding strategies are sensitive to the amount and nature of information about bidders’ valuations revealed by the auction. Standard auctions fail to allocate the good efficiently if some bids are announced. If the post-auction market is small enough, a first-price sealed-bid auction with no revelation of bids achieves efficiency. By choosing an optimal announcement policy the auctioneer can increase expected revenue. Online Appendix

Robust Benchmark Design (with Darrell Duffie)

Recent scandals over the manipulation of LIBOR, foreign exchange benchmarks, and other financial benchmarks have spurred policy discussions over their appropriate design. We characterize the optimal fixing of a benchmark as an estimator of a market value or reference rate. The fixing data are the reports or transactions of agents whose profits depend on the fixing, and who may therefore have incentives to manipulate it. If the benchmark administrator cannot detect or deter the strategic splitting of trades, we show that the best linear unbiased fixing is the commonly used volume-weighted average price (VWAP).
A non-technical summary at VOX: Robust Financial Market Benchmarks

Implementability, Walrasian Equilibria, and Efficient Matchings (with Anthony Lee Zhang)
Economics Letters, 2017.

In general screening problems, implementable allocation rules correspond exactly to Walrasian equilibria of an economy in which types are consumers with quasilinear utility and unit demand. Due to the welfare theorems, an allocation rule is implementable if and only if it induces an efficient matching between types and goods.

Other papers and activities

I am involved in designing the Polish kidney exchange program, read more here: Zywy Dawca Nerki (in Polish).
The team has received the 2015 Golden Scalpel award of the Puls Medycyny magazine: News Article

Older papers:
Optimal Constants in a LlogL Inequality for Continuous Martingales (in Polish), Undergraduate Thesis in Mathematics, 2012
Fiscal Policy Under Rational Inattention, Undergraduate Thesis in Economics, 2011