Artyom Shneyerov
Economist, Academic
1968 –
Who is Artyom Shneyerov?
Artyom Shneyerov is a microeconomist working at Concordia University in Montreal, Canada. He is also an Associate Editor of the International Journal of Industrial Organization. His current research is in the fields of Game theory, Industrial organization and applied Econometrics. His list of contributions to these and other areas of economics includes the following:
In his paper "An empirical study of auction revenue rankings: the case of municipal bonds", he introduced an approach for the estimation of counterfactual revenues in a common value auction without the need to identify model primitives. He showed that for any given reserve price, equilibrium bids from …first-price auctions can be used to identify the expected revenues in Vickrey auction with the same reserve price. In addition, he derived an explicit bound on expected revenue for English auctions. His approach is based on the revenue ranking theorem of Milgrom and Weber. He has applied these results to municipal bond auctions in California. This paper is discussed in a handbook of industrial organization.
Jointly with Mark Satterthwaite, and his former student Adam Chi Leung Wong, obtained a number of results about the structure of equilibria of dynamic matching and bargaining games and their convergence to perfect competition . Some of these results are discussed in Bergemann and Balat, the lecture notes of a graduate economics course at Yale University. These games are often used to provide a foundation for the perfect competition hypothesis, one of the basic concepts in economics. They are also used frequently in search models of labor economics. Most dynamic matching and bargaining models in the previous literature assumed full information. This means that in a given meeting, the buyer knows the minimum the seller is willing to accept for the item, and the seller knows the maximum the buyer is willing to pay. This assumption is often violated in reality. Satterthwaite and Shneyerov have shown that the dynamic matching and bargaining market is nevertheless approximately competitive as the time between matches becomes progressively smaller.
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