Economics Commons^™

The Effect Of Prenatal Substance Use Policies On Women's Well-Being, Zukruf Alam

Theses and Dissertations

This paper examines the effects of punitive and priority treatment policies relating to the use of illicit substances during pregnancy on women's health and health-related behavior. Punitive interventions criminalize substance use during pregnancy, which can even lead to termination of parental rights. In contrast, priority treatment policies support pregnant women and grant them priority access to substance use disorder treatment programs. I use staggered difference-in-differences methods and data from the Behavioral Risk Factor Surveillance System data from 2004 to 2018 to estimate the impact of prenatal substance use policies on women's mental health, physical health, self-reported poor health, and cigarette …

Private Equity, State Enforcement, And Arbitration Outcomes Under The No Surprises Act: Evidence From Air Ambulance Disputes, Peter Readman

Theses and Dissertations

The No Surprises Act (NSA) removed patients from responsibility for out-of-network surprise medical bills. In its place, the NSA established an independent dispute resolution (IDR) process through which providers and insurers submit competing payment offers to an arbitrator, who selects one offer in full. Using the universe of federal air ambulance IDR disputes from Q1 2023 through Q2 2025 (57,368 dispute line items), I examine whether provider ownership structure and enforcement jurisdiction jointly predict arbitration outcomes. The two outcomes, whether the provider offer prevails, and how large that prevailing offer is relative to the benchmark payment rate, the Qualifying Payment …

Congestion Pricing And Traffic Safety: Evidence From New York City, Mirella Charros

Theses and Dissertations

This paper examines the impact of congestion pricing on motor vehicle collisions in New York City. Using a spatial difference-in-differences approach, the study finds evidence of increased collisions near the congestion boundary, suggesting potential spillover effects and changes in traffic patterns following policy implementation.

Air Pollution And Self-Reported Health Outcomes In The United States, Alina Dervisevic

Theses and Dissertations

This study examines the relationship between short-term PM2.5 exposure and self-reported health outcomes among U.S. adults using BRFSS data from 2000 to 2012 linked to county-level pollution and weather data. Results show that PM2.5 exposure is associated with worse mental health and gender specific behavioral responses.

Manipulation Or Monetization?: The Rise Of Stock Buybacks And Their Effects On Firm Valuation And Investment, Thomas H. Serrano

Economics Undergraduate Honors Theses

Abstract:

This thesis uses basic econometrics to examine the relationship between stock buybacks, firm valuation, and investment among publicly traded firms from 2000-2024. Using firm-level data pulled from Compustat North America and a fixed-effect multivariate regression, it evaluates whether buybacks are associated with higher valuation and stronger productive investment as defined in the paper. The results show that buybacks are positively associated with firm valuation the first year that they occur, but the relationship disappears when they are lagged for a year. Furthermore, the analysis does not find strong statistical evidence that repurchases are associated with changes in investment, or …

Herding In Artificial Intelligence, John Cotter

Honors Scholar Theses

This paper examines whether increased attention to artificial intelligence (AI) influences herding behavior in financial markets. As AI has become a dominant theme in both financial markets and public discourse, understanding how investor attention affects behavior has become increasingly important. Herding behavior is measured using the Cross-Sectional Absolute Deviation (CSAD) methodology developed by Chang, Cheng, and Khorana (2000). The analysis uses daily data from December 2019 through November 2025 and focuses on the Global X Artificial Intelligence & Technology ETF (AIQ) as a proxy for the AI sector. Investor attention is measured using a composite Google Search Volume Index (SVI) …

The Goad, The Bad, & The Ugly: The Livestreamed Vice Signaling & Body Fascism Of Clavicular & Asmongold, Jacob T. Fry

Department of Communication Studies: Dissertations, Theses, and Student Research

This thesis explores the rhetorical, material, and symbolic implications of fascist livestreaming in the United States through two popular streamers: Clavicular and Asmongold. These two streamers represent a small slice of the rise of different reactionary rhetorics online and how the use of different masculine subcultures—in this case ‘Looksmaxxing’ or Gamer inspired rhetoric—are used as ideological texts for white male supremacy. Whether in front of the glow of their gaming monitor or the flashing lights of a nightclub, the livestreaming of the body, home, relationships, and lifestyles challenge rhetorical conceptions of style, the ‘public/private sphere,’ and political communication. As different …

Fascism Usa: Class And Identity Politics In The Age Of Trump, Marc Edelman

Publications and Research

This essay argues that Trump’s triumph in the 2024 presidential contest represents the consolidation of an oligarchical authoritarian project, backed by a multi-class and (surprisingly, for some) multi-racial electorate. It brought intensified state and freelance attacks on immigrants, labor unions, women, LGBTQ+ people, journalists, civil servants, assorted “political enemies,” and other groups that the MAGA movement targets. It is institutionalizing authoritarian governance structures in ways that will be exceedingly difficult to undo. The paper first addresses the experience of growing up in the shadow of fascism. It analyzes various sectors that supported Trump and the impacts of inflation, incumbency, economic …

Learning From 2002: County-Level Economic Analysis Of The Salt Lake City Winter Olympics And Implications For Utah 2034, Ronan Spencer

Undergraduate Honors Capstone Projects

This paper examines economic and distributional impacts and the existing literature on the 2002 Salt Lake City Winter Olympics to inform policy recommendations for the upcoming 2034 Utah Olympic Games. Using a difference-in-differences (DiD) framework on county-level data from 1995 to 2006, we compare Utah host counties to Colorado counties. Results indicate that the Games generated an average of 1,084 Leisure and Hospitality jobs per host county, suggesting approximately 5,420 total jobs across all five host counties. We saw a positive but marginally significant increase in tourism and hospitality GDP of $37.2 million relative to Colorado controls (p=0.078). We also …

Restorative Justice In Cache Valley: Building Community Resilience Through Restorative Practices, Rivkah Haubner

Undergraduate Honors Capstone Projects

Restorative justice as a field of study is primarily applied to criminal justice proceedings or similar topics. As such, its use as a tool in political organizing is an underdeveloped field. Due to its Indigenous history, restorative justice has intrinsically ant-colonial, anti-imperial, and anti-racist roots and is therefore already situated within the ethos of many progressive movements. Historically, radical movements within the United States and across the world experienced both internal and external pressures that undermined their goals. Restorative justice offers a framework through which to understand political action as a whole and specific tools to address internal conflict within …

Two Essays On Finance: The Dark Side Of The Ceo Inside Debt: Evidence From Stock Price Crash Risk And Cybersecurity Risk And Corporate Bond Yield Spreads, Amir Gholami

Theses and Dissertations

This dissertation comprises of two papers. In the first paper, I found that despite being thought of as a governance mechanism, CEO inside debt seems to distort firms’ information environment. My results indicate that the CEO inside debt creates an incentive for managers to hoard bad news to prevent technical defaults, leading to increasing stock price crash risk. My results are robust after addressing endogeneity using the instrumental variable (IV) approach, a difference-in-differences test based on the implementation of Internal Revenue Code Section 409A Final Regulations, and Oster’s omitted variable diagnostic test, and selection bias using the propensity score matching …

Two Essays On Finance: Co-Opted Directors And Mergers And Acquisitions And The Impact Of Biodiversity Risk On The Cost Of Bank Loans, Fariba Gholami

Theses and Dissertations

This dissertation comprises of two papers. In the first paper, co-opted board members, those appointed after the CEO assumes office, are poor monitors and, contrary to prior assumptions, ineffective advisors. I show that board co-option is associated with suboptimal merger and acquisition (M&A) decisions, adverse deal characteristics, and lower acquirer’s short- and long term returns and operating performance. These results are robust to the use of propensity score matching, entropy balancing, Instrumental variable using 2SLS, and difference-in-differences to address selection bias and endogeneity. Cross-sectional evidence indicates that the negative effects of board co-option are more pronounced when boards are less …

The Macroeconomics Of Intergenerational Mental Health Dynamics, Boaz Abramson, Job Boerma, Diego Daruich, Aleh Tsyvinski

Cowles Foundation Discussion Papers

We develop a quantitative macroeconomic theory of child mental health. The theory is grounded in child psychiatry, formalized in a life-cycle heterogeneous agent model of child development, and disciplined using micro data on mental health of children and parents. Intergenerational transmission of mental illness arises due to both biological factors and parental behavior. Parents experiencing mental illness have negative expectations and lose time due to rumination. As a result, they invest less in their child’s mental health. We use the model to evaluate policies designed to improve child mental health. We show that subsidizing mental health treatment for children generates …

Position: The Pre/Post-Training Boundary Should Govern Ip In Industry–Academia Ml Collaborations, Dirk Bergemann, Soheil Ghili, Nitzan Mekel-Bobrov

Cowles Foundation Discussion Papers

Industry–academia ML collaborations routinely fail to launch—not for scientific reasons, but because academics must publish while companies must protect models trained on proprietary data, and no standard contract framework resolves this tension. Because contracts are negotiated by legal departments alone, many apparent legal disputes are incentive misalignment problems that only scientists at the table can correctly diagnose. We propose PBOS (Protect-the-Business / Open-Source-the-Science), a community-adoptable contract template anchored to a single technically-grounded boundary: pre-training artifacts (architectures, training code, benchmarks, untrained weights) are open science; post-training artifacts (weights trained on proprietary data) are business IP. This boundary is technically meaningful, legally …

Class Peers As Competitors And Educators: The Consequences Of Rank-Based Academic Rewards, Mark R. Rosenzweig, Bing Xu

Cowles Foundation Discussion Papers

This paper examines the theoretical and empirical consequences of rank-based reward systems in schools in which students’ performance and effort are evaluated relative to their peers. In such environments, classmates act simultaneously as competitors—due to rank-determined rewards—and as educators through peer learning and assistance. Using nationally representative panel survey data from U.S. high schools, combined with administrative information on the location assignments of new refugee student cohorts, we exploit variation in school competition policies and class ability compositions to identify empirically their dual effects on student effort and peer learning. We develop a theoretical tournament model with heterogeneous students who …

Regional Economic Impacts And Emission Responses Under Solar Radiation Modification, Jenny Bjordal, Evelien Van Dijk, Henri Cornec, Anthony A. Smith Jr, Trude Storelvmo

Cowles Foundation Discussion Papers

Solar Radiation Modification (SRM) has been proposed as a potential tool to limit increases in global or regional temperatures caused by anthropogenic greenhouse gas emissions. While previous research has extensively examined the climate system’s response to various SRM strategies, as well as their aggregate economic consequences, the regional distribution of economic impacts has received less attention. In this study, we use NorESM2–DIAM—an Earth System Model coupled to a high-resolution integrated assessment model—to assess the economic impacts, measured in GDP per capita, in an idealised SRM scenario where incoming solar radiation is reduced by 1%. Our results suggest that, relative to …

Beyond Exposure: Predicting Ai Adoption Based On Comparative Advantage, Ilse Lindenlaub, Ryungha Oh, Maria Alejandra Rodriguez, Laura Veldkamp

Cowles Foundation Discussion Papers

We document and explain the gap between measures of AI exposure and measures of AI adoption in the workplace. This leads us to propose a new AI adoption index based on comparative advantage. Using the representative German DiWaBe employee survey linked to worker and establishment information, we compare worker-reported AI use to prominent exposure measures and find that the relationship is weak. Motivated by this gap, we develop a framework in which adoption depends not only on technical feasibility—AI’s absolute advantage measured by exposure—but on profitability—AI’s comparative (dis)advantage relative to a specific worker—balancing AI productivity against AI user costs and …

Towards A Methodology For Measuring Rental Property Ownership In The United States, Stephanie Kestelman, Rebecca Diamond, John Eric Humphries, Kate Pennington, Winnie Van Dijk, John Voorheis

Cowles Foundation Discussion Papers

Roughly one-third of U.S. households rent their homes, yet measuring who owns rental property is difficult: ownership is frequently obscured by LLCs, partnerships, and other intermediary entities that separate legal from economic control. We develop a method that traces ownership through administrative records—combining deeds and property assessments with the Census Bureau’s Business Register, IRS Schedule K-1 filings, and SEC filings on REITs—to identify ultimate owners and construct property portfolios across the full landlord size distribution. Applying the method to 11 large CBSAs, we find that individual landlords own a large majority of rental units, though their share varies meaningfully across …

From People’S War To People’S Rule: Rebel Governance And The Foundations Of Inclusive Democracy, Bhishma Bhusal, Michael Callen, Rohini Pande, Soledad Prillaman, Deepak Singhania, Apurva Subedi

Cowles Foundation Discussion Papers

How does wartime rebel governance shape post-conflict institutions? We study this in Nepal, where the Maoist People's War (1996–2006) dismantled a 240-year caste-based monarchy and ended with Maoists entering democratic politics. During the conflict, Maoists established sub-national “People’s Governments” that administered justice, collected taxes, and delivered local services. Using a spatial regression-discontinuity design, we show that exposure to People's Governments increased political knowledge and participation especially among historically marginalized indigenous groups (Janajatis). Exposure also reshaped party institutions and inter-party competition: candidate-selection committees in more exposed areas have 26 percent more Janajati members who, drawing on novel implicit-attitude data, exhibit less …

Learning Through Imitation: An Experiment, Marina Agranov, Gabriel Lopez-Moctezuma, Philipp Strack, Omer Tamuz

Cowles Foundation Discussion Papers

We compare how well agents aggregate information in two repeated social learning environments. In the first setting agents have access to a public data set. In the second they have access to the same data, and also to the past actions of others. Despite the fact that actions contain no additional payoff-relevant information, and despite potential herd behavior, free riding and information overload issues, observing and imitating the actions of others leads agents to take the optimal action more often in the second setting. We also investigate the effect of group size, as well as a setting in which agents …

Borderplex Business Barometer, Volume 10, Number 5, Thomas M. Fullerton Jr., Steven L. Fullerton

Border Region Modeling Project

No abstract provided.

Bitcoin Options Risk-Reversal Predictability, Meng Hwee Neo

Dissertations and Theses Collection (Open Access)

This dissertation examines whether Bitcoin options risk-reversal (RR) spreads predict future Bitcoin returns, using daily Deribit data from April 2021 to December 2025 (1,723 observations).

In the primary 25-delta, 90-day specification, the RR coefficient is significant at the 1% level in a thirteen-variable baseline regression with Newey–West standard errors. Robustness tests across all available delta–tenor specifications show statistically significant RR coefficients in the majority of configurations, concentrating in the 30–180-day maturity band.

The butterfly spread (BF) also predicts returns. Both remain significant after controls are added: the RR t-statistic increases from 1.91 (univariate) to 3.73 (full baseline), and the BF …

Essays On High-Frequency Dynamics Of Asset Prices, Yuhong Zhu

Dissertations and Theses Collection (Open Access)

This dissertation studies econometric inference for high-frequency financial data, with a focus on detecting nonstandard drift and volatility dynamics in continuous-time models.

The first chapter proposes a new framework for uniform inference on explosive drift in high-frequency data, where conventional Gaussian approximations can fail due to the non-Gaussian behavior of short-window spot statistics. Under fixed-window asymptotics, these statistics are coupled with dependent t variables, and their maximum converges to a Fréchet distribution. We establish an anti-clustering condition for dependent t-statistics under overlapping windows and develop a feasible coupling-based test. Simulation results demonstrate better size control, and the empirical findings suggest …

Essays On Money Search Models, Fangfang Gong

Dissertations and Theses Collection (Open Access)

This dissertation comprises three papers that use money search models to revisit the distributional welfare costs of inflation, study the optimal design of a central bank digital currency (CBDC), and investigate the role of liquidity and monetary policy in initial investment and capital reallocation in secondary markets.

The second chapter develops a micro-founded general equilibrium model of payments to revisit the distributional welfare costs of inflation. We consider different cost structures incurred by merchants when accepting cash and deposits. In equilibrium, there exists a cutoff for buyers’ money holdings, above which card payments are accepted by merchants. We calibrate the …

Uncertainty, Information, And Major Choice: Evidence From Chinese Gaokao, Sikun Dou

Dissertations and Theses Collection (Open Access)

An unresolved background risk makes people more averse to other, independent  risks—most of all when a high-stakes, irreversible choice must be made under that risk. College major choice is such a setting. In China, students are admitted directly into a major they cannot easily change, and in the early 2000s they had to commit before learning their exam scores, bearing a field’s academic risk on top of an unresolved admission risk. Because STEM fields carry more academic risk and women are on average more risk-averse, this burden falls hardest on women’s entry into STEM. Exploiting a reform that moved application …

Financial Technology And Household Wealth, Rongbo Zhou

Dissertations and Theses Collection (Open Access)

With the spread of mobile payment platforms in China, the micro-foundations of household financial behaviour have been reshaped, and this change is increasingly reflected in household property income. Based on microdata from the China Household Finance Survey (CHFS) for 2015, 2017, 2019, and 2021, this dissertation examines how mobile payment use affects household property income, through which channels this effect is transmitted, and how its impact differs across household groups, regional conditions, and macro-financial environments.

The empirical results show a positive association between the use of mobile payment platforms and household property income. This conclusion remains robust after controlling for …

Hkc04 - How Do Risk Perceptions Change With New Information? Evidence From A Survey Of Flood-Prone Counties, Caroline Hopkins, Timothy Hyde

Oberlin College Kasper Economics and Business Working Paper Series

Prior research has documented a tendency for insurance demand to rise abruptly in the aftermath of natural disasters. This may be attributable in part to the information shock that a disaster represents. Understanding how beliefs about risk evolve is of first-order importance for projecting climate adaptation in coming decades. Using a three-wave survey of 815 residents of flood-prone coastal counties in the southeastern United States, including 436 for whom we have longitudinal data, we study how individuals’ beliefs evolve after two very different types of informational shocks about future local flooding risk: viewing flood maps, and experiencing a local flooding …

Long Run Effect Of Industrial Place-Based Policy On County Level Complexity, An Investigation Of The Tennessee Valley Authority, Anita Ifeyinwa Umunnah

Master's Theses

This paper studies the long-term effects of large federal investments in place-based industrial policies on regional economic development, contributing new evidence on how industrial policies shape regional local productive capabilities over time. While extensive research show that industrial policies impact regional development by advancing productive technology (capabilities), the fundamental question remains how to measure this technological transformation. The study employs the use of Economic Complexity Index (ECI) as a measure of “technological advancements” resulting from large federal investments in place-based industrial policies. Previous evaluations of such investment were based on livelihood, employment and income outcomes, with productive capability of receiving …

Analyzing Social Implications Of The Gender Wage Gap, Jessie A. Clarke

Electronic Theses, Projects, and Dissertations

The researcher seeks to understand the gender wage gap in the United States. The research question studied is “Why do women in the United States on average earn less income than men?” Women gain less power and resources as they earn less income than men. The researcher explores the phenomenon in this paper. This research proposal utilizes qualitative methods via interviews, and analysis through coding. In previous research, there is a lack of inclusion on the gender wage gap regarding various identities such as sexual orientation, other gender identities, and race/ethnicity. The researcher hopes to fill in these gaps in …

Trump Opportunity Zones In Louisville, Kentucky: A Look At The Results So Far., Thomas E. Lambert

Faculty and Staff Scholarship

In 2017 the US Congress passes and President Donald J. Trump signs the 2017 Tax Cuts and Jobs Act. Part of the legislation allows states to create opportunity zones (OZs), census tracts which will be targeted for business investment and economic development through federal tax incentives. In Louisville, Kentucky, as in other jurisdictions throughout the US over the last several decades, special district “zones” have been used by local, state, and/or the federal government(s) to try to revive low-income, deteriorated, and blighted areas. These have been typically urban areas but sometimes have included semi-rural and rural areas. Whether named enterprise …