Industry Expertise (1)
Areas of Expertise (4)
Graduate College Post-Comprehensive Research Summer Award
April 2016 and March 2015, University of Iowa
Graduate Student Senate Travel Funds Award
April 2014, University of Iowa
University of Iowa: Ph.D., Economics 2017
University of Iowa: M.A., Economics 2013
The Colorado College: B.A., Mathematical Economics 2010
I study a monopolistic pricing problem in which the consumer performs product research to determine whether or not to purchase a good. The consumer receives a signal of quality via a Brownian motion process with a type-dependent drift. I fully characterize the consumer’s optimal strategy; she buys the product when she is sufficiently optimistic about the quality and ceases to pay for the signal when she is sufficiently pessimistic. I examine the implications of this behavior for the seller’s optimal pricing decision. I find that the seller prefers to encourage product research when quality is likely to be high and prefers to discourage research when quality is likely to be low. I show that a decrease in search costs or an increase in the quality of information can either raise or lower equilibrium price. I also extend the model so that the seller chooses both price and the level of quality dispersion and demonstrate that the optimal level of dispersion need not be extremal.
Kyungmin Kim, Marilyn Pease
We analyze a dynamic trading model of adverse selection where a seller can increase the frequency of strategic price quotes. A low‐quality seller benefits more from trade and, therefore, searches more intensively than a high‐quality seller. This makes a seller's contact carry negative information but a seller's availability become a stronger indicator of high quality. In the stationary environment, the two effects exactly offset each other, and reducing search costs is weakly beneficial to the seller. In the nonstationary environment, the relative strengths of the two effects vary over time, and reducing search costs can be detrimental to the seller.
Marilyn Arlene Pease
This dissertation contributes to the understanding of dynamic games in frictional markets. Specifically, it focuses on how information and search frictions influence outcomes in areas such as housing, over-the-counter markets, and online sales. I investigate how agents confront these frictions through learning, searching, and bargaining strategies that affect price formation and the allocation of resources.