Other Economics Commons^™

Learning Rules Under Asymmetric Information: A Cournot Market Experiment, Marshall H. Pentes

Honors Theses

I present the use of best response (BR) and imitation (IM) learning rules in experimental Cournot duopoly markets under asymmetric information. In treatment BR, one subject (called BR1) receives, after every round, information about their previous quantity choices, the previous market prices, their previous profits, the previous quantities of the the other firm in the market, and the previous Cournot best response to the quantity of the other firm. In treatment IM, one subject (called IM1) receives, after every round, information about the prior quantities of and profits of both firms in the market. The BR1 and IM1 subjects are …

Moral Preferences In Ultimatum And Impunity Games, Valerie Capraro, Ismael Rodriguez-Lara

ESI Publications

We report on two experiments (total N = 2572) testing the role of moral preferences in one-shot, anonymous ultimatum and impunity games, which vary the veto power of responders. In the impunity game, if an offer is lower than the responder’s minimum acceptable offer, the proposer still receives his share, while the responder gets nothing. Study 1 is correlational and explores how moral preferences, as measured using the Moral Foundations Questionnaire, explain behaviour in the two games. Study 2 is causal and investigates the effect of moral suasion on behaviour. Regarding proposers, both studies provide evidence that moral preferences affect …

The Impact Of Insufficient Sleep On The Serial Reproduction Of Information, David L. Dickinson, Sean P. A. Drummond

ESI Publications

Story retelling is an important form of communication, cultural practice, and message transmission. Insufficient sleep is known to affect relevant cognitive skill areas necessary for story retelling or transmission fidelity. We conducted a preregistered randomized cross-over study on n = 155 young adults with exogenously assigned nightly sleep levels experienced in their at-home environments. A serial story reproduction task was administered online, and chains of up to three retells of a given story involved varied numbers of sleep restricted (SR) versus well-rested (WR) retellers. While story content decayed with each retell, group-level analysis showed that additional SR retellers in a …

Food Security In Mauritius, Luke Hubbard

Economics Undergraduate Honors Theses

Located over 600 miles off the East coast of Madagascar, Mauritius is an island nation with a population of over 1.2 million people. In the summer of 2023, I had the opportunity to travel to Mauritius and conduct a representative food insecurity survey alongside other University of Arkansas and University of Mauritius students and professors. With more than 400 surveys in over 80 locations, we gathered data in every district on the primary island of Mauritius. The group used a survey based on the standard USDA question list and compiled the results to find that the population of Mauritius had …

The Association Between Economic Outcomes And Abortion: A Scoping Review, Larisa Nicole Stephenson

Capstone Experience: Master of Public Health

Background: Abortion access is not just an issue of autonomy, but an economic issue as well. Evidence of the intersectionality of abortion health care and economics has endured due to the financial cascading effects a denial of an abortion, or the inability to access an abortion, has on one’s personal, professional, and economic upward mobility. A change in recent policies impacting access to abortion warrants an updated synthesis examining the relationships between economic outcomes and abortion access for people of reproductive age in the United States (U.S.).

Aim: This scoping review summarizes evidence pertaining to the association …

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 …

Determinants Of Wealth Inequality In Central America: A Panel Data Analysis Of Socioeconomic And Institutional Factors, Jose Manuel Fernandez Pou

Empirical Economic Bulletin, An Undergraduate Journal

This study applies a non-linear panel threshold regression model to examines the factors of economic development in Central America, with an emphasis on institutional and socioeconomic factors. Using data acquired between 2000 and 2023 the research evaluates how different variables like trade openness, FDI, financial development, education spending, inflation and population growth impacts the growth of GDP at different levels of institutional quality. The results demonstrate that institutional quality levels create a distinct threshold effect when trade openness and FDI fail to promote growth in weak institutional settings while inflation volatility strongly hinders growth. FDI and financial development show positive …

Beyond The Road Trip: Investigating The Impact Of Travel Fatigue On Nba Team Performance, Anthony Pugliese

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the impact of travel fatigue on NBA player performance. In this paper we will look at key variables such as back-to-back games and long-distance travel. By using specific team by team data on factors like game results, travel distance, and rest days. This study examined how specific factors like time zone shifts and travel length influences winning percentage and player efficiency. This paper will also show a regression analysis and visual data to back up results using real life data. The results showed that team performance decreased significantly when teams were at a higher rate of travel …

The Price Of Victory: A Machine Learning Analysis Of How Salary Dispersion Influences Team Success In Major League Baseball, Joseph Belsanti

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines the effect of salary dispersion on team success in Major League Baseball (MLB). Using data from 29 MLB teams over eight seasons (2012-2019), this study uses multiple models, such as Ordinary Least Squares (OLS), panel data regressions, and Random Forest machine learning, to investigate the degree – if any – that inequalities in a team's payroll impacts success, measured by winning percentage. The study's results show that, contrary to prevailing theories, salary dispersion – measured by a Gini coefficient – is not a significant predictor of a team's winning percentage (team success). Instead, team performance metrics, such …

Does Name, Image, And Likeness Increase Gender Inequality In College Athletics?, Aimee Christenson

Political Science Theses and Capstones

In June of 2021, the National Collegiate Athletic Association adopted its first interim policy regarding Name, Image, and Likeness. From here, college athletes have been able to benefit from opportunities regarding their brand as an athlete. While this development has been historic in its expansion of rights to athletes, it highlights the inequities between male and female athletes. Title IX requires equal opportunity for male and female students. This research raises questions about whether NIL is increasing the disparity between male and female athletes. To answer this question, I looked at NIL data collected by Kyle Ems on the NIL …

The Impact Of Tariffs And Institutional Quality On Economic Growth In Latin America: A Panel Data Analysis, Blaisedel Frampton

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the relationship between tariffs and economic growth in Latin American countries and how institutional quality may impact this relationship. The study will use data from the World Development Indicators Data Bank. The data used comes from 18 high- or middle-income countries within South America and the Caribbean from the years 2003 to 2023. Results from this study were found using a fixed-effects regression model. The results from this study show that overall, there is a negative correlation between tariffs and economic growth in South America. There is also a positive correlation between institutional quality and economic growth …

Passive Vs. Active Etfs: A Comparative Data Analysis Of Market Performance And Investor Behavior, Herrick Louis

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the long-term performance of passive vs active ETFs. Using a comparative analysis of historical returns from 2015 to 2024, Regression modeling, and time Series Analysis, I assessed whether passive investing offers a strategic advantage overactive management. Drawing on data from VOO Passive, SWANX active, Bitcoin, and MAG 7 technology ETFs, and the Financial Sector.

Socioeconomic Factors Affecting Gendered Happiness: A Cross-Sectional Study Of Oecd Countries, Anusha Khan

Empirical Economic Bulletin, An Undergraduate Journal

This paper explores how socioeconomic factors influence life satisfaction across OECD countries and how these effects vary by gender. Using a cross-sectional dataset, the study runs three separate regressions, total, men’s, and women’s happiness to test whether factors like health, education, safety, and support networks impact life satisfaction differently for men and women. A Random Forest model is also used to validate the robustness of selected predictors. Findings show that health and support matter universally, but men’s well-being is more closely tied to educational attainment, while women’s happiness is more sensitive to feelings of safety.

Ai Adoption And Wage Growth In U.S. Industries: A Sectoral Analysis, Demitrius Andrellos

Empirical Economic Bulletin, An Undergraduate Journal

Artificial Intelligence (AI) is transforming nearly every sector and has significant implications for workers and their wages. This paper examines the impact of the utilization of AI on wage growth across various industries in the United States. Through analysis of trends, examination of current research, and regression analysis using real industry data, the research demonstrates the disparate impacts of AI. Research suggests that AI raises wages in tech- and finance-centric sectors where it complements humans but keeps wages down in labor-intensive sectors where it replaces them. Understanding this disparity is important to build equitable workforce policies for the AI age.

Empirical Analysis Of The Impact Of Macroeconomic Determinants On Equity Reit Performance, Chris Morello

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates how equity Real Estate Investment Trusts (REITs) respond to key macroeconomic factors: stock market performance, interest rate changes, and inflation. Using annual data from 1972 to 2024, multiple linear regressions are conducted to assess which variables significantly explain REIT returns. The results reveal a strong and consistent relationship between equity REIT performance and S&P 500 returns, while interest rates and lagged inflation measures show no statistically significant impact. These findings suggest that REITs behave more like equities than fixed-income assets, particularly in the long term. While the models have limited explanatory power, the analysis supports the idea …

Beyond The Stats: Empirical Analysis Of The Impact Of Performance Metrics And Nationality On Major League Soccer Player Salaries: A Panel Data Analysis, Daniel Pereira

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the possibility of how player in-game individual performance and nationality shape the salary system in Major League Soccer (MLS). The objective is to evaluate the direct relationship between key performance indicators (KPIs) such as field position, goals, assists, appearances, and defensive contributions, and how these factors are different between domestic and international players.

The Contemporaneous Impact Of Unemployment And Income Inequality On Violent Vs Property Crime Rates In New England: A Panel Data And Machine Learning Approach, Cora Sousa

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the possible impact of unemployment and income inequality on property and or violent crimes in the New England region in the United States from 2003 to 2022. Using a panel data analysis looking at unemployment rates and factors of income inequality in New England states, Connecticut, Maine, Massachusetts, Rhode Island, New Hampshire, and Vermont, along with demographic factors like race and gender aim to find a relationship between unemployment and income inequality with crime rates. Economic distress, usually caused by unemployment, can cause an individual to commit crimes due to hard times. Using machine learning decision trees …

Decarbonization Under Carbon Policy And Pricing Shifts: A Machine Learning-Driven Synthetic Control And Panel Data Analysis, Chanboremey Teng

Empirical Economic Bulletin, An Undergraduate Journal

This study evaluates the effectiveness of carbon pricing instruments – Carbon taxes and Emissions Trading Systems (ETS) – in reducing CO2 emissions per capita across 152 countries from 1990 to 2023 using dynamic panel regressions with fixed effects. The analysis estimates both short-run and long-run effects while controlling economic structure, energy mix, and environmental policy stringency (EPS). The results show that ETS policies yield the strongest long-term reduction in emissions at approximately 7.35%, followed by carbon taxes at 5.6%, and EPS regulatory measures at 6.35%. However, when all three instruments are modeled together, the marginal effects of pricing mechanisms weaken, …

Ruchir Sharma: What Went Wrong With Capitalism, Vernon L. Smith

ESI Publications

A review of Ruchir Sharma's What Went Wrong With Capitalism.

Religion And Economic Development: Past, Present, And Future, Sascha O. Becker, Amma Panin, Steven J. Pfaff, Jared Rubin

ESI Working Papers

This chapter examines the role of religion in economic development, both historically and today. Religion's influence varies globally, with high religiosity in countries like Pakistan and low rates in China. Despite declines in some Western countries, religion remains influential worldwide, with projected growth in Muslim populations due to higher fertility rates. Religion continues to shape societal norms and institutions, such as education and politics, even after its direct influence fades. The chapter explores how religious institutions and norms have impacted economic outcomes, focusing on both persistence and decline. It also examines cultural transmission, institutional entrenchment, networks, and religious competition as …