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Category Archives: Grace Kim

Myocardial Infarction, Health Behavior, and the Grossman Model

by Emma Mehlhop

This paper contributes an empirical test of Michael Grossman’s model of the demand for health and a novel application of the model to myocardial infarction (MI) incidence. Using data from the University of Michigan’s Health and Retirement Study (HRS), I test Grossman’s assumptions regarding the effects of hourly wage, sex, educational attainment, and age on health demand along with the effects of new variables describing health behaviors, whether or not a respondent is insured, and whether or not they are allowed sufficient paid sick leave. I use logistic regression to estimate health demand schedules using five different health demand indicators: exercise, doctor visits, drinking, smoking, and high BMI. I apply the Cox Proportional Hazard model to examine two equations for the marginal product of health investment both in terms of propensity to prevent death and to prevent MI, one of the leading causes of mortality in the United States. This study considers the effects of the aforementioned health demand indicators, among other factors, on the marginal product of health investment for the prevention of death compared to the prevention of MI. Additionally, there is significant evidence of a negative effect of health insurance on likelihood of exercising regularly, implying some effect of moral hazard on the health demand schedule.

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Advisors: Professor Charles Becker, Professor Grace Kim, Professor Frank Sloan | JEL Codes: I1, I10, I12

Informing the Investor: A Comparative Analysis of the Importance of Pre-Initial Public Offering (IPO) Information on Stock Performance

by Paul Snyder

This paper answers which available information about the company, macroeconomic and market environment, regulatory constraints, and offering before an IPO is most impactful on year-long buy-and-hold abnormal returns and how that changes across time while analyzing the IPO markets of 1999 and 2019. Data was gathered from predominantly company prospectuses and proprietary datasets to select a total of 419 IPOs across two samples and regress abnormal geometric returns against the aforementioned information using multivariate OLS regressions. There are a number of interesting findings. First, certain information or factors that act as signals of stock performance before an IPO that correlate with stock performance change across time. Second, there is evidence that companies abiding by more regulation pre-IPO tend to perform better on the stock market after the fact, particularly with the Sarbanes-Oxley and JOBS Acts. While the direction of causality is unknown, there is now a clear and quantified relationship between IPO regulation requirements and stock performance. Third, there is evidence that the IPO market has become more strong-form efficient when comparing 1999 to 2019.

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Advisors: Professor Edward Tower, Professor Grace Kim | JEL Codes: G1, G12, G14

The Effects of Leveraged Buyouts on Health Outcomes

by Robert Williams

Private equity firms first began acquiring hospitals in the United States during the early 1990s, yet the effects of private equity ownership on patient outcomes and treatment costs are still not clear. Some argue that although private equity firms are adept at improving operating efficiencies and introducing managerial expertise, these cost-cutting measures may come at the expense of patient outcomes.

Because acute myocardial infarctions (AMIs) serve as proxies for patient outcomes and treatment costs, I collect information on 30-day mortality rates and Medicare reimbursements for treatments of AMIs at US Medicare-certified short-term acute care general hospitals from 2014 to 2019. This paper uses fixed effects models to analyze the impact of leveraged buyouts, relative to strategic acquisitions, on patient outcomes. After integrating both hospital and time fixed effects, I find that private equity ownership does not lead to significant changes in Medicare reimbursements or mortality rates for AMI treatments.

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Advisors: Professor Ryan McDevitt, Professor Grace Kim, Professor Michelle Connolly | JEL Codes: I0, I110, G340

User Loyalty and Willingness to Pay for a Music Streaming Subscription

By Nell Jones   

Music streaming has increased industry revenue and displaced piracy, but limited profits for artists. In this thesis, I examine user loyalty to streaming platforms, focusing on the asset specificity of features and estimating what users are willing to pay for each of these features. A structural equation model of survey data shows that feature satisfaction positively affects both asset specificity of and overall satisfaction with streaming platforms, strengthening user loyalty. Using conjoint analysis, I estimate that users are willing to pay at least $14.40 for platforms that offer algorithm, playlist and social features, and the ability to download music.

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Advisors: Professor Michael Munger, Professor Grace Kim | JEL Codes: Z1, Z11, M21

The Impact of Medicare Nonpayment: A Quasi-Experimental Approach

By Audrey Kornkven   

In October 2008, a provision of the Deficit Reduction Act of 2005 known as Medicare “Nonpayment” went into effect, eliminating reimbursement for the marginal costs of  preventable hospital-acquired conditions in an effort to correct perverse incentives in hospitals and improve patient safety. This paper contributes to the existing debate surrounding Nonpayment’s efficacy by considering varying degrees of fiscal pressure among hospitals; potential impacts on healthcare utilization; and differences between Medicare and non-Medicare patient populations. It combines data on millions of hospital discharges in New York from 2006-2010 with hospital-, hospital referral region-, and county-level data to isolate the policy’s impact. Analysis exploits the quasi-experimental nature of Nonpayment via difference-in-differences with Mahalanobis matching and fuzzy regression discontinuity designs. In line with results from Lee et al. (2012), Schuller et al. (2013), and Vaz et al. (2015), this paper does not find evidence that Nonpayment reduced the likelihood that Medicare patients would develop a hospital-acquired condition, and concludes that the policy is not likely the success claimed by policymakers. Results also suggest that providers may select against unprofitable Medicare patients when possible, and are likely to vary in their responses to financial incentives. Specifically, private non-profit hospitals appear to have been most responsive to the policy. These findings have important implications for pay-for-performance initiatives in American healthcare.

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Advisors: Professor Charles Becker, Professor Frank Sloan, Professor Grace Kim| JEL Codes: I1, I13, I18

Hedonic Pricing in the Sneaker Resale Market

By Kevin Ma and Matthew Treiber

This paper explores the secondary resale market for high-end and limited-edition sneakers, specifically analyzing the determinants that affect what value sneakers trade for in the secondary market. While it is common knowledge that the sneaker resale market is a thriving and active secondary market, there is little to no empirical research about what exactly causes such sneakers to sell for exorbitant prices in the resale market. The study utilizes a hedonic pricing approach to investigate the determinants of sneaker resale price. We use a dataset of sneaker resale transactions from the online marketplace StockX between the years of 2016 and 2020 as the basis for our research. After analyzing the results, we have determined that the amount of “hype” that surrounds a sneaker as well as supply scarcity are statistically significant factors when determining the resale price premium a particular sneaker commands in the secondary market. This work adds to the sparse literature on the sneaker resale industry and brings an econometrics-approach to determining the price a given pair of sneakers commands in the resale market.

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Advisors: Professor Kyle Jurado, Professor Michelle Connolly, Professor Grace Kim| JEL Codes: C2, C20, J19

Investigating the Impact of Chinese Financing on Productivity in the African Continent

By Kedest Mathewos   

Given that productivity is a key component of long-term economic growth and that China has become an important source of external financing in Africa, this study aims to investigate the impact of Chinese foreign direct investment and government-to-government loans on productivity. Using a panel of the top fourteen African recipients of Chinese financing during the period 2003-2017, this study employs a two-stage regression process. The first relies on the use of a revised version of the Solow Model that accounts for human capital, natural resource accumulation and country-specific heterogeneity, to generate values of total factor productivity. The second examines the impact of Chinese financing on this generated measure of productivity. After taking into account significant confounding variables such as institutional quality, trade openness and manufacturing value-added, this study finds that Chinese foreign direct investment (FDI) has a significant negative impact on productivity while Chinese government loans are positively associated with productivity. However, consistent with the literature, the impact of Chinese FDI depends on the country’s absorptive capacity – proxied here by the level of human capital accumulation. Therefore, as African countries seek to boost productivity levels, they should continue to attract Chinese government loans while enhancing their FDI absorptive capacity.

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Advisors: Professor Lori Leachman, Professor Grace Kim, Professor Kent Kimbrough| JEL Codes: O4, O47, F21

Private Equity Buyouts and Strategic Acquisitions: An Analysis of Capital Investment and the Timing of Takeovers in the United States

By Anthony Melita   

This paper investigates how motivational differences between agents who execute private equity buyouts and those who execute strategic (corporate) acquisitions may influence the timing of capital investment via takeovers. This paper synthesizes prominent merger theories to inform macroeconomic variables that may drive acquisitions. I find a significant negative expected effect of volatility on capital investment via takeover for each buyer type, a negative expected effect from valuation multiples on capital investment from PE buyouts, and a positive expected effect from debt capacity (EBITDA-CAPEX) on capital investment from PE buyouts.

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Advisors: Professor Grace Kim | JEL Codes: G3, G34, G29

Investigating Underpricing in Venture-Backed IPOs Using Statistical Techniques

By Michael Tan   

This paper concerns applying statistical methods to investigate under-pricing in VC-backed technology Initial Public Offerings (IPOs) since the great recession. In particular, firm, market, and IPO-specific variables were explored to determine if there were any significant relationships to under-pricing. The paper focused on the Bank Preference theory of under-pricing, where under-pricing is said to occur because investment banks running IPO processes are incentivized to under-price to decrease the risk that they will not be able to allocate all the issuance to price-sensitive public markets investors.

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Advisors: Professor Daniel Xu, Professor Shawn Santo, Professor Grace Kim| JEL Codes: G3, G33, G24

How Expensive Is This Suit? An Analysis of Corporate Litigation Settlements and Brand Value

By Jenny Y. Zhang

Two recent corporate trends include a rise in litigation and companies’ increased emphasis on branding. This paper examines whether there is a relationship between the two phenomena by analyzing corporate litigation outcomes and brand value. Specifically, I examine law suits resulting in a settlement in order to determine whether a company’s brand value impacts the settlement amount. I do not find evidence of a relationship between a company’s brand value and the settlement value. Further research is needed in order to more conclusively determine whether a company’s brand value and the resulting settlement are related.

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Advisors: Professor James Roberts, Professor Michelle Connolly, Professor Grace Kim | JEL Codes: K40, K41

Questions?

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