Yevheniia Yarmosh

Welcome to my homepage! I completed my Ph.D. degree in Economics from the University of California at Berkeley in June 2019. I am currently working as a Visiting Assistant Professor at The Pennsylvania State University.

email: zhenia [at]

Research Fields:

  • Primary: Industrial Organization

  • Secondary: Psychology and Economics

Curriculum Vitae: PDF

I am currently on the the job market and will be available for interviews at the ASSA Annual Meeting in San Diego, CA (January 3-5th, 2020)


Studying Overspending in the Video Games Market [PDF]

Abstract: This paper studies the issue of consumers' biased beliefs that result in misestimation of personal consumption and excessive spending on products that will never be used in the future. The behavior of interest is consumers' purchasing of games they never open. According to descriptive statistics, around 29% of games in people's game libraries are unopened as of March 18, 2019. This setting enables the analysis in question because, besides purchasing decisions, one can observe consumption patterns as well, which are usually problematic to track. I utilize Python to gather the main dataset from Steam, one of the largest online gaming platforms. The data contain daily purchasing and consumption statistics as well as daily prices in all supported currencies for a period of 9.5 months. I study economic and behavioral mechanisms that might drive the behavior in question. In particular, I perform survival analysis, discuss search costs, study the effects of game heterogeneity, check for the presence of projection bias, and consider intertemporal substitution of purchases as possible explanations. I show that none of the above-mentioned mechanisms is supported by the dataset and arrive at the conclusion that the main reason for the excessive spending is consumers' biased beliefs regarding their future willingness to try new products.

Modeling Biased Beliefs in the Video Games Market [work in progress]

Abstract: In this paper I develop a structural model that takes into account people’s biased beliefs about their likelihood to try new products when making a purchase. I discuss the functional and distributional assumptions needed to identify the model. I simulate the outcomes of three counterfactuals: debiasing consumers, removing sales, and decreasing variety.


Visiting Assistant Professor, Department of Economics, Penn State University (Fall 2019 - Spring 2020)

  • Environmental Economics

  • Health Economics

  • Economics of the Corporations (Undergraduate Industrial Organization)

Summer Instructor, Department of Economics, University of California - Berkeley (Summer 2017, 2018)

  • Industrial Organization and Public Policy

Graduate Student Instructor (Teaching Assistant), Department of Economics, University of California - Berkeley (Fall 2014 - Spring 2018)

  • Industrial Organization and Public Policy

  • Game Theory in the Social Sciences

  • Economic Analysis – Micro