Video Game Sales: Does Diversity Pay?
By Hai Lin “Helena” Wu
The video game industry has grown into a mature market in the past decade, surpassing the size of the U.S. film industry in 2009. As a result of the rise in popularity of video gaming amongst many demographic groups of the American population, the underrepresentation of female and ethnic minorities in video games has become an increasingly relevant topic of discussion. This paper empirically examines the effects of including female and ethnic minority lead characters on the equilibrium sales volume of video games. Through the use of a reduced-‐form regression, the equilibrium quantity is regressed on a list of exogenous variables pertinent to the interest of this study. The findings suggest that the inclusion of female and minority lead characters affects sales of different genres of games in distinct manners, suggesting that the video game market has a heterogeneous consumer base with a diverse range of preferences. In addition to empirical work, one of the main contributions of this paper is creating a new and unique dataset (N=712) on game attributes, especially with regard to character gender and ethnicity. This paper’s findings have implications on the game design decisions for video game producers.
Advisor: Kent Kimbrough, Lori Leachman | JEL Codes: D00, L1, L82 | Tagged: Entertainment, Ethnicity, Gender, Sales, Video Game
Debunking the Cost-Shifting Myth: An Analysis of Dnamic Price Discrimination in California Hospitals
By Omar Nazzal
Cost-shifting, a dynamic form of price discrimination, is a phenomenon in which hospitals shift the burden of decreases in government-sponsored healthcare reimbursement rates to private health insurers. In this paper, I construct a data set spanning 2007 – 2011 that matches financial metrics of California hospitals to hospital- and market-specific characteristics with theoretical implications in price discrimination. The subsequent analysis is split into three stages. In the first and second stages, I use a fixed-effects OLS model to derive a point estimate of the inverse correlation between private revenue and government revenue that is consistent with recent empirical work in cost-shifting, a body of literature almost entirely reliant upon fixed-effects and difference-in-difference OLS. These types of models are encumbered by the inherent causality loop connecting public and private payment sources. I address this endogeneity problem in the third stage by specifying a fixed-effects 2SLS model based on an instrument for government revenue constructed with data from the California Department of Health Care Services and the U.S. Census. This instrument performed well in canonical tests for relevance and validity. I find that an increase in government payments causes an increase in private payments, and that the relationship is statistically-significant at all reasonable levels. In addition, I comment on properties of the data set that suggest that the original inverse correlation was due to inadequate measurements of market power. I conclude with policy implications and suggestions for future research.
Advisor: Frank Sloan | JEL Codes: I11, I13, I18, L11, L80 | Tagged: Health Insurance, Market Structure, Medicaid, Medicare, Price Discrimination
Price Partitioning and Consumer Rationality in Internet Retail Markets
By Katherine Bodnar
This paper seeks to further understand the bounds of consumer rationality and search on the Internet. Specifically this paper focuses on how consumers respond to partitioned prices when making their purchasing decisions. The goal of the paper is to determine if consumers are as sensitive to explicitly stated shipping prices, as they are to list prices, in an environment where items are sorted by list prices. After evaluating the data using a non-linear regression model, the results suggest that consumers do not weight partitioned prices (taxes or shipping prices) as much as they do list prices, contradicting the standard economic model about consumer rationality. The results imply that price partitioning is an effective obfuscation method that is allowing retailers to continue to maintain mark-ups and profit margins in Internet settings.
Advisor: Andrew Sweeting | JEL Codes: L1, L11, L81 | Tagged: E-‐Commerce, Obfuscation, Price Partitioning, Retail Competition, Search, Shipping Price
Empirical Evidence of Airline Merger Waves Based on A Selective Entry Model
By Peichun Wang
Ever since the Deregulation Act in 1978 in the U.S. airline industry, there have been series of major airline mergers and acquisitions, notably three major waves in the 1980’s, 1990’s, and late 2000’s. These mergers, especially the more recent multi-billion mergers (e.g. Delta- Northwest, United-Continental) have shown a trend of substantial market consolidation that inevitably worries consumers as well as the U.S. Department of Justice (DoJ). Most academic literature to date have tried to study mergers in a static setting where these mergers are assumed to be exogenous. However, the clear pattern of merger waves in the airline industry, as well as many other industries, suggests strong correlation between mergers. A few studies that attempted at a dynamic merger model remain theoretical due to computational barriers. In this paper, I found empirical evidence of merger waves by investigating the change of airline carriers’ incentive to merge after another merger between two other carriers. These results are based on a structural model of the U.S. airline industry, in which I estimate demand with a standard (for dierentiated product markets) discrete-choice nested logit model, but allow for selection on entrants’ costs and qualities, i.e. rms with lower costs and higher qualities would have been selected into the market before the merger, suggesting that post-merger entry is less likely than what non-selective entry models have predicted.
Advisor: James Roberts | JEL Codes: L13, L25, L93 | Tagged: Airline, Merger Wave, Selective Entry
