Digital Commons Network^™

Leaving California: The Price Impact Of Announcing A Headquarters Relocation, Marilyn Giselle Hazlett

Behavioral and Computational Economics (MS) Theses

Over the past decade, people and companies have left California for myriad reasons. This paper examines the effect of announcing a headquarters relocation on a firm's stock price. Using traditional event study methodology, I analyze over 400 move announcements from 2004-2024 to find a positive abnormal return in the short run when firms announce that they are moving their headquarters. There is a pronounced impact on stock prices for firms leaving California and moving to Texas.

Industrial Parks And Domestic Power: Work, Industrialization, And Intimate Partner Violence In Nigeria, Faye X. Dingle

Economics Honors Projects

This paper examines the effect of industrial zone openings on women's employment, relative earnings, and intimate partner violence (IPV) in Nigeria. I exploit variation in the timing of industrial zone openings to use a staggered difference-in-differences model. I compare women near industrial zones to women near not-yet-built industrial zones and capture the effect of the average treatment effect on the treated. I perform this analysis for women within 10, 15, 20, and 25 kilometers of an industrial zone. I find that being within all distances of an industrial zone increases a woman's relative earnings compared to women in non-industrialized zones. …

Essays On Macroeconomics, Krishna Sharma

All Dissertations

The first chapter examines the role of return migration in driving innovation within India’s tech startup ecosystem, using a novel dataset constructed from web scraping of startup profiles, LinkedIn data, and patent databases. By capturing founders’ international experience, education, and innovation outcomes, the analysis reveals that returnees significantly contribute to higher inno- vation levels, particularly through patent filings. Returnee-founded startups exhibit an 18% higher rate of patent filings compared to those led by locals. The study employs OLS, Poisson regression, Coarsened Exact Matching (CEM), and Instrumental Variables (IV) to address selection bias and endogeneity concerns. U.S. immigration policy changes provide …

Preying For A Spot At The Table Examining Regulatory Policies And Solutions To Combat Predatory Microfinance Practices, Nicholas R. Brenner

Undergraduate Honors Thesis Collection

Microfinance involves financial services such as small loans, savings accounts, and insurance to low-income populations typically excluded from traditional financial markets. While the services it provides can encourage entrepreneurship and work to alleviate poverty, insufficient regulation can lead to borrower exploitation and continued cycles of debt. This thesis explores the regulations leading to successful microfinance outcomes. Particularly, the variance in outcomes between Ghana and Jordan will be examined as a case study. In Ghana’s Wa West District, effective policies and financial literacy programs have enabled microfinance to promote economic growth. In the country of Jordan, however, a lack of strict …

Changing The Game: Examining The Impacts Of Name, Image, And Likeness Legislation On Dominance Within Ncaa Division 1 Men’S Basketball, Jaclyn Noel Lawrence

Undergraduate Honors Thesis Collection

On July 1, 2021, the National Collegiate Athletic Association (NCAA) implemented a policy change allowing collegiate athletes to benefit from their name, image, and likeness (NIL), enabling them to earn additional income through partnerships without penalty. This shift sparked widespread debate regarding its potential impact on competitive balance and dominance within college athletics—a principle the NCAA has long cited in defense of its amateurism model. Controlling for player, coach, and institutional characteristics, this study estimates a comprehensive model to assess the relationship between the presence of NIL opportunities and team success. We found no evidence that NIL alone has significantly …

The Economic Impact Of Fitness And Recreational Sports Centers On The U.S. Economy Using State-Level Data, Nicholas M. Schramm

Undergraduate Honors Thesis Collection

This study utilizes state-level data to investigate the effect of fitness and recreational sports centers on the United States economy. Personal per capita income and the employment rate serve as the dependent variables. The explanatory variables consist of three fitness and recreational sports center sector proxies: the number of establishments, employees, and total annual payroll. The study will use a pooled regression model that includes fixed effects to examine the impact of the three explanatory variables on each dependent variable. The analysis showed positive and significant effects on the personal per capita income for each of the three explanatory variables. …

Indirect Cost Cap: Perspectives On Efficiency, Waste, And Equity, Neel B. Patel, Lakshman Segar

Rowan-Virtua Research Day

Background: On February 10, 2025, the NIH enacted a 15% cap on indirect costs, reallocating $4 billion from institutional overhead to direct research within a $35 billion funding framework. The policy follows longstanding concerns about unchecked growth and inefficiencies in indirect cost reimbursements, which rose from 15% in the 1950s to over 70% at some institutions by the 1990s. Notable examples include a $200 million overcharge at Stanford and millions in questionable expenditures identified in federal audits.

Objective: To evaluate the financial, operational, and equity-related impacts of the NIH’s indirect cost cap on U.S. research institutions.

Methods: …

The Impact Of Remittances On Children’S Educational Outcomes: The Case Of India, Neha Reddy Kalwala

Honors Theses

This paper investigates whether children in Indian households receiving more remittances have better educational outcomes. India is the world’s largest recipient of remittances and is characterized by a unique socioeco- nomic and demographic context that makes any educational improvements or disparities particularly impactful on global education metrics. Using panel data from the India Human Development Survey, I employ OLS and logit regressions with household fixed effects, a difference-in-differences strategy, and a Heckman selection model. Two measures of educational outcomes are analyzed: weekly hours spent at school and school enrollment. Findings suggest that an increase in remittances leads to a higher …

Housing Prices & Labor Shortages: The Role Of Land Use Regulation, Rhys T. Cooper

Boise State University Theses and Dissertations

In this analysis, I examine the impact of housing prices on labor shortages by estimating the effects of monetary policy shocks and land use regulation (LUR). In the wake of the COVID-19 pandemic, housing prices and labor shortages have increased across the U.S. Using regional data on job postings, available workers, housing prices, LUR, and nations monetary policy shocks, I estimate the relationship between LUR, monetary policy, and labor shortages though a difference-in-differences continuous treatment model estimated through local projections. The interaction between LUR and monetary policy is leveraged to address the endogeneity between housing prices and labor shortages. My …

Estimation And Testing In A Fixed Effects Panel Data Model With Serially Correlated Error Component Disturbances, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper revisits the fixed effects panel data model with AR(1) remainder disturbances and provides a bias corrected estimator for the serial correlation coefficient based on first differencing the panel regression to get rid of the fixed effects. This bias corrected estimator builds upon the estimator proposed by Han and Phillips (2010). Asymptotic properties as well as Monte Carlo results are provided that show the better performance of this new proposed bias corrected estimator. This is extended to the unbalanced panel data case and also illustrated using the empirical application in Donohue and Levitt (2001).

The Impact Of Corporate Profits On Gdi Estimates: Forecasting And Data Revisions, Peterson Haas

Honors Theses

The National Income and Product Accounts (NIPAs) produced by the U.S. Bureau of Economic Analysis (BEA) provide key measures of U.S. economic activity, including gross domestic product (GDP) and gross domestic income (GDI). Although conceptually equivalent, GDP and GDI often diverge due to differences in source data and revision timing. This study focuses on corporate profits—a small but volatile component of GDI that is frequently revised, especially during the BEA’s annual (A1) and benchmark (C1) revisions. I examine how revisions to corporate profits influence GDI revisions and whether they can improve real-time estimates of GDI. First, I document the size …

The Switch: Determinants Of Family School Modality Choices During The Covid-19 Pandemic, Steicy Dorfi Lopez

Economics Undergraduate Honors Theses

The K-12 system in the United States experienced substantial challenges during the COVID-19 pandemic. This study aims to give an overview of public, private, and homeschooling enrollment decisions during the pandemic, the changes families made between types of schooling and identify familial characteristics associated with the probability of switching in and out of public education. Knowing more about the groups exiting and returning to the public school system can help public school districts better tailor policies to attract and retain their students. Socioeconomic factors influencing a change could be signs of increasing segregation. Using a discrete choice duration model, a …

Revisiting The Lasting Impacts Of Incarceration, John Eric Humphries, Cécile Macaire, Aurélie Ouss, Megan Stevenson, Winnie Van Dijk

Cowles Foundation Discussion Papers

Using newly-linked administrative and commercial data from Virginia spanning 25 years, we study the consequences of incarceration. While previous research has examined labor market outcomes and recidivism, we focus on two of the primary channels through which low-income households build wealth: asset ownership (homes and cars) and human capital formation. To identify causal effects, we use a matched differencein-differences design. In line with much of the literature on the impact of incarceration in the U.S., we find no evidence of scarring effects on labor market outcomes or changes in recidivism beyond the incapacitation period. However, we find that incarceration leads …

Hands On Archiving: Aid In Reorganizing The San Bernardino County Museum Archive Room And Archival Material, Ezequiel Vera

Electronic Theses, Projects, and Dissertations

This paper documents the process and details of the History Archives Inventory Project at the San Bernardino County Museum (SBCM). Most of the work of this project is done in-person and will include photographic evidence of the project, a written portion that will explain the process of the project, and secondary literature that will help explain the process of the project and its corresponding decision making. The History Archives Inventory Project is a multiple year-long project; this paper will be limited to my time working on the project while completing my Master of Arts in History at CSUSB. My time …

Essays On Financial Econometrics, Yuexuan Ren

Dissertations and Theses Collection (Open Access)

This dissertation consists of two papers that contribute to the theory of estimation, inference, and prediction using high-frequency financial data. In the first chapter, time-varying betas from return regressions, commonly used to measure systematic financial market risk, are studied using high-frequency data. A novel econometric framework is introduced for the nonparametric estimation of these betas. The optimal finite-sample inference, in a well-defined sense, is enabled by the local Gaussian property of a generic continuous-time benchmark model under the fixed-k framework. Furthermore, a uniform functional inference theory for spot regressions is developed. The proposed methodology is broadly applicable in empirical settings, …

Leveraging Data Analytics For Enchanced Economics Prediction: A Study Of Predictive Models And Economics Indicators, Janelle Rueda

Electronic Theses, Projects, and Dissertations

The purpose of this project is intended to investigate the lack of use of data analytics in predicting and managing the impacts of economic crises. This project investigates what economic key factors can be used to create a framework model and evaluate the effectiveness of the key economic indicator being tested as early warning signs. The project uses programs such as Excel, RStudio, and Tableau for the collection of historical data, and regression analysis to determine if certain economic indicators have a statistically significant correlation with GDP, that may help enforce systems in place to help us mitigate economic crises …

Understanding Household Financial Stability: Examining The Effects Of Inflation And Income, Cyndy E. Gutierrez-Fierros

Electronic Theses, Projects, and Dissertations

This study aims to investigate the impact of inflation on US household financial stability from 2013 to 2023. As inflation rises, individuals’ purchasing power erodes leading to influence economic behaviors. Behaviors such as spending, saving, and borrowing should be a priority concern in the US economy. Results of this study reveal that inflation does not affect financial well-being and its direct impact on household stability is statistically weak. Regression testing shows that income emerges as the most significant factor. Most noticeably income influences savings and debt management in a positive way. As per these results, economic policies should be focused …

Tax Increment Financing: A History And Analysis Of Its Success And Failure, Justin Cederlof

All Graduate Reports and Creative Projects, Fall 2023 to Present

Tax increment financing (TIF) is used by cities and towns to subsidize projects within their jurisdictions. The name derives from the growth in the tax base that a (re)development is theoretically responsible for. The increase in tax revenue is directed to funds to pay for the project. TIF is used in 49 U.S. states and each state has unique legislation for its use of it, though there are large similarities between states on how it’s implemented. Research suggests mixed results with whether or not the increase in the tax base is enough to pay off how much money went toward …

The Perry-Campbell Collection: An Analysis Of Byzantine And Roman Coins, Samuel A. Skokan

Department of Anthropology: Theses and Student Research

The Anthropology Collections of the Nebraska State Museum are home of the Gladys G. Perry Campbell and Iain Colin Gordon Campbell (I. C. G. Campbell) coin collection, which consists of an estimated 4,000 coins that date between the 1^st century BC to the 15th century AD. The collection consists of bronze coins (91%+) and billon (alloy) coins that represent low-denomination currency of the Roman and Byzantine Empires. There are approximately 3,200 Byzantine and 750 Roman coins. This study focused solely on the Byzantine coins of the Collection, to document their chronological range and research value. The collection can support …

Understanding Pre-Harvest Hedging Behavior And Basis Forecasting: The Role Of Information In Grain Marketing, Iyore Eronmwon

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation examines decision-making under risk in grain marketing, focusing on how information influences behavior, attitudes toward accessible information, and methods for forecasting commodity basis. Through three essays, it explores the impact of information on hedging decisions, the determinants of information-seeking behavior, the extent to which students can serve as proxies for farmers in risk experiments, and the effectiveness of different forecasting approaches for commodity basis.

The first essay examines the impact of information on pre-harvest grain marketing hedging decisions and grain marketing information-seeking behavior. Specifically, it evaluates two types of information hypothesized to influence decision-making: expected cost of production …

Strategic Thinking Skills: A Key To Collective Economic Success, Syngjoo Choi, Seonghoon Kim, Wooyoung Lim

ROSA Journal Articles and Publications

We conduct a large-scale experiment to measure elementary aspects of strategic thinking skills and their linkage to labor market outcomes. Two incentivized measures of higher-order rationality and backward induction are developed. Males' (females') strategic thinking skills are positively (negatively) associated with individual labor income. However, among married individuals, strategic thinking skills are significantly and positively associated with their household labor income regardless of gender, highlighting the importance of strategic thinking skills for collective economic success. We argue that the intrahousehold channels encompassing collective labor supply with home-to-workplace spillover and marriage assortative matching offer the most plausible explanation for our findings.

Borders And Burdens: Three Essays On Inter-Jurisdictional Tax Policy In America, Benjamin Jaros

All Dissertations

Individuals, firms, and governments make decisions about the tradeoffs of different tax policies at jurisdictional borders, such as those between states, nations, or local governments; those choices shape the burden of taxation. This dissertation examines the effects of three distinct changes in tax policy: for state corporate income tax apportionment, colonial tobacco tariffs, and tax abatements for data centers. Chapter 1 examines how changes to the corporate income tax base formula affect state tax revenues. Chapter 2 analyzes how colonial era export and import tariffs on tobacco impacted trade volumes, raised revenue, and the distribution of the tax burden between …

The Impact Of Nafta On Prices And Competition: Evidence From Mexican Manufacturing Plants, Felipe Brugués, Ayumu Ken Kikkawa, Yuan Mei, Pablo Robles

Research Collection School Of Economics

This paper assesses the impact of the North American Free Trade Agreement on Mexican manufacturing plants’ output prices and markups. We distinguish between Mexican goods that are exported and those sold domestically, and decompose their prices separately into markups and marginal costs. We then analyze how these components were affected by the reductions in Mexican output tariffs, intermediate input tariffs, and U.S. tariffs on Mexican exports. We find that domestically sold products saw a decline in prices as Mexican plants faced more competition and gained access to cheaper inputs. Prices of exported goods fell only slightly as plants increased their …

Valuation Of Crypto Assets On Blockchain With Deep Learning Approach, Xi Zhou, Yin Pang, Esther Ying Yang, Jing Rong Goh, Shaun Shuxun Wang

Research Collection School Of Economics

With the rapid expansion of the blockchain ecosystem, crypto asset valuation has become an essential area of study for investors and institutions. Here, we introduce a deep learning framework that was designed to predict the value index of crypto assets by integrating intrinsic value variables and decomposing market prices into value and sentiment components. The Crypto Asset Value-indexing Model (CAVM) was applied to Ethereum’s cryptocurrency ETH to demonstrate its effectiveness. Four econometric tests were conducted to verify the informativeness, predictiveness, and reasonability of the generated value indices, as well as the efficiency of price decomposition. Our findings suggested that the …

Limit Theory For Local Polynomial Estimation Of Functional Coefficient Models With Possibly Integrated Regressors, Ying Wang, Peter C. B. Phillips

Research Collection School Of Economics

Limit theory for functional coefficient cointegrating regression was recently found to be considerably more complex than earlier understood. The issues were explained and correct limit theory derived for the kernel weighted local level estimator in Phillips and Wang (2023b). The present paper provides complete limit theory for the general kernel weighted local th order polynomial estimators of the functional coefficient and the coefficient derivatives. Both stationary and nonstationary regressors are allowed. Implications for bandwidth selection are discussed. An adaptive procedure to select the fit order  is proposed and found to work well. A robust -ratio is constructed following the new …

Book, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes:

• Handwritten notes on inter-war Marxist economics

• Handwritten notes titled Personal history: Luxemburg

• Handwritten notes titled Cycles/Crises: Luxemburg (August 1984)

• Handwritten notes titled Reform/Revol./State: Luxemburg (August 1984)

• Handwritten notes titled Argument on the collapse of capitalism

• Handwritten notes titled Imperialism: Luxemburg (August 1984)

• Letter to Diego (July 16, 1993)

• Letter to Diego (duplicate) (July 16, 1993)

• Handwritten notes titled Role of DD in Marx & Orthodox Eco (October 13, 1991)

• Handwritten notes titled Book notes: Part I (October 18, 1991)

• Handwritten notes titled Book comment: Part I …

Mortgage Default Classification Modeling For Variable Analysis, Brendan R. Goggins

Honors College Theses

The financial crisis of the early 2000’s is a prime example of the severe consequences that mortgage default and borrower insolvency can have on economies at large. Mortgage default specifically is a prime case with the popularization of mortgage backed securities and the commonality of this loan structure. Multiple hypotheses and models have been formed to understand the reasons, causes, and consequences of mortgage default. This paper uses both machine learning and statistical classification models to inform an understanding of the variables most significant and impactful to the default outcome of mortgages. Consideration is given to both loan-level microeconomic variables …

Author Biographical Notes

Midwest Social Sciences Journal

No abstract provided.

Synthesis And Partial Characterization Of Chitosan Phosphorylation From Marine Cuttlefish Sepia Aculeata (Orbingy, 1848) And Its Antimicrobial Potentials Against Oral Pathogens, Yathin Reddy Putta, Annathai Pitchai, Pasiyappazham Ramasamy

Journal of Dentistry Indonesia

Objectives: This study investigated the synthesis and partial characterization of phosphorylated chitosan extracted from the cuttlebone of Sepia aculeata (Orbingy, 1848) and evaluated its antimicrobial potential against oral pathogens. Methods: The synthesis of phosphorylated chitosan from Sepia aculeata cuttlebone involved several steps: cleaning, deproteinization, demineralization to extract chitin, deacetylation to produce chitosan, and phosphorylation to introduce phosphate groups. Phosphorylation enhances the properties of chitosan, making it a promising candidate for oral health applications. Phosphorylated chitosan was purified and characterized using Fourier Transform Infrared Spectroscopy (FTIR), X-ray diffraction (XRD), and Scanning Electron Microscopy (SEM) to confirm structural changes. This process enhances …

The Impact Of Religiosity And Violence Prevention Programs On Violence Amongst Adolescents In The U.S., Ngoc Nguyen, John Paulson, Quentin Maynard, Thu T. Ha

Midwest Social Sciences Journal

Youth violence is a societal concern in the United States due to its negative consequences on individuals and communities. The current study aimed to examine the potential mitigating factors of violence prevention programs and religiosity in reducing youth violence among African American, White, Hispanic, and Asian American adolescents in the United States. It also tested the moderation effects of sex on religiosity and violence prevention programs with youth violence. Results of the main effects revealed that adolescents who attended violence prevention programs were generally less likely to engage in violence than those who did not; and that adolescents who were …