Hi! I am a pre-job-market postdoctoral researcher at the University of Chicago, where I received my PhD in 2024.
I am currently on the 2024-2025 academic job market. My research interests are mostly in applied microeconomic theory.
Primary fields: Microeconomic Theory.
Secondary fields: Industrial Organization, Behavioral Economics.
Tel.: (312) 547-1340
E-mail: eistomina [AT] uchicago [DOT] edu
1126 E. 59th Street – Saieh Hall for
Economics, Chicago, IL 60637
Abstract: A seller produces goods of two qualities: high and low. While the seller cannot observe individual product quality, consumers can, and they only purchase high-quality goods at higher prices. The seller becomes more pessimistic about the unsold inventory and reallocates it to a discount store. The key insight is that improving product sorting across stores requires attracting more consumers to a high-priced location so that fewer high-quality goods remain unsold and become available at a discount. This greater sorting enables the seller to charge a higher premium for high-quality goods, but it comes at the cost of reduced sales volume due to fewer consumers purchasing at higher prices. I extend this equilibrium relationship between sales volume, pricing, and product sorting to a model with a continuum of stores and provide additional insights into the seller's optimal strategy.
Abstract: This paper examines a monopolist who designs a menu of prices and quality levels for customers while incurring costs to understand the customer's requests. I show that the monopolist's problem simplifies to gathering information about the buyer's virtual type when communication precision costs are proportional to entropy reduction or when the buyer's type is binary. This friction introduces an additional market distortion, adding to the well-known problem of quality underprovision for low types. From a utilitarian perspective, the seller overinvests in communication precision to extract a larger surplus from the consumer.
Abstract: This paper models an uninformed seller negotiating with informed buyers when completing the transaction requires time and effort. The buyer exerts costly effort to expedite the deal, while the seller learns about the buyer's enthusiasm and adjusts her pricing over time. Anticipating this, the buyer strategically speeds up or slows down the process. I show that the seller's beliefs about the buyer and the final price exhibit tipping points: the seller becomes more pessimistic over time as higher buyer types exert more effort, leading to abrupt shifts in beliefs and market activity. Under some conditions, the market comes to a freeze right before a burst of activity.
Abstract: I analyze a monopolistic screening model, where the buyer's type is initially unknown to both market sides. The seller engages in costless sequential communication with the buyer before presenting a final product offer. At each communication period, the seller selects a threshold and discloses to the buyer whether his type is above or below it. The optimal strategy for the seller is to gradually disclose information about the buyer's type, starting from the bottom. Compared to the standard monopolistic screening, this approach enables the seller to extract the entire surplus not only from the lowest served type but from a whole range of lower types. I also introduce an analog of a virtual type for a learning-buyer environment and examine the consequences of the buyer's limited knowledge for consumer welfare.
†This paper was anticipated by Heumann (2020) .