Microfinance In Latin America: Sustainability, Growth, And Efficiency,
2025
Pepperdine University
Microfinance In Latin America: Sustainability, Growth, And Efficiency, Katelyn M. Hoidal
Global Tides
The subsequent research addresses the question: Within populous Latin American countries (Ecuador, Mexico, Panama, Argentina, Chile, and Peru), are microfinance institutions associated with differences in GDP and household consumption equally between 2010 and 2018? Which do they have a stronger correlation with? The essence of this question seeks to answer whether the correlation between MFIs and wealth indicators carries over to a national level or merely persists at an individual level. This research has been informed and influenced by literature and studies conducted across South Asia, Africa, and Latin America focusing on the research of Abdelkader, Naveeda, Annim, Campbell, Armendáriz, …
Trade Openness And Spatial Inequality In Developing Countries: Case Study Of Asean-4,
2025
The World Bank, Jakarta, Indonesia
Trade Openness And Spatial Inequality In Developing Countries: Case Study Of Asean-4, Rosalia Marcha Violeta, Vedy Ardine Sahetapy, Garda Maharsi, Mohamad Dian Revindo
Jurnal Kebijakan Ekonomi
Trade openness is widely associated with stronger medium- to-long-term economic growth, yet its distributional consequences within countries, particularly in developing economies, remain contested. This paper examines the relationship between trade openness and spatial inequality in four major ASEAN economies, Indonesia, Malaysia, Thailand, and the Philippines, over the period 2012–2019. Spatial inequality is measured using Theil’s Index based on provincial-level GDP per capita, while trade openness is proxied by the trade-to-GDP ratio. Employing pooled OLS and fixed-effects estimations, the analysis controls for key structural factors such as economic development, population size, urbanization, government expenditure, and the number of spatial units. The …
Beyond The Stats: Empirical Analysis Of The Impact Of Performance Metrics And Nationality On Major League Soccer Player Salaries: A Panel Data Analysis,
2025
Bryant University
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.
Ai Adoption And Wage Growth In U.S. Industries: A Sectoral Analysis,
2025
Bryant University
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,
2025
Bryant University
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 …
Determinants Of Wealth Inequality In Central America: A Panel Data Analysis Of Socioeconomic And Institutional Factors,
2025
Bryant University
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,
2025
Bryant University
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 Contemporaneous Impact Of Unemployment And Income Inequality On Violent Vs Property Crime Rates In New England: A Panel Data And Machine Learning Approach,
2025
Bryant University
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 …
The Price Of Victory: A Machine Learning Analysis Of How Salary Dispersion Influences Team Success In Major League Baseball,
2025
Bryant University
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 …
The Impact Of Tariffs And Institutional Quality On Economic Growth In Latin America: A Panel Data Analysis,
2025
Bryant University
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,
2025
Bryant University
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,
2025
Bryant University
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.
Decarbonization Under Carbon Policy And Pricing Shifts: A Machine Learning-Driven Synthetic Control And Panel Data Analysis,
2025
Bryant University
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, …
Ai Integration And Digital Regulation: Impacts On Global Trade In Digital Services,
2025
CENTRE FOR ECONOMIC AND SOCIAL STUDIES, INDIA
Ai Integration And Digital Regulation: Impacts On Global Trade In Digital Services, Srividhya M, Ravi Kiran Reddi
Bulletin of Monetary Economics and Banking
This study investigates the impact of AI readiness and digital laws on Digitally Deliverable Services (DDS) exports, utilizing a comprehensive dataset that includes developed and developing economies, as well as various global regions. The analysis reveals that AI readiness significantly enhances DDS exports across both developed and developing countries, with notable regional variations. Higher gross national income per capita and larger population sizes are consistently positive factors, while the effects of ITA membership and digital laws, such as cybercrime and consumer protection regulations, vary by region. These findings underscore the importance of tailored policy interventions to enhance DDS exports, considering …
'Reciprocal' Tariffs: What's In A Word,
2025
Columbia Law School
'Reciprocal' Tariffs: What's In A Word, Petros C. Mavroidis
Faculty Scholarship
On 13 February 2025, President Trump released a memorandum announcing his intention to impose “reciprocal tariffs” under the Fair and Reciprocal Plan (FRP). The plan does not operate under a reasonable definition of reciprocity, is illegal under World Trade Organisation (WTO) law, would damage both the United States and its trading partners and could trigger reactions that would bring an end to the international trading system as we know it.
A Proposal For One “Super” Independent Accountability Mechanism,
2025
American University Washington College of Law
A Proposal For One “Super” Independent Accountability Mechanism, Daniel D. Bradlow
Perspectives
This essay will discuss how the MDBs- for example, the World Bank Group, the African, Asian, and Inter-American Development Banks, and more recently the European Bank for Reconstruction and Development, Asian Infrastructure Investment Bank, and the New Development Bank – are dealing with the issue of accountability. It will argue that, although the MDBs have been leaders in promoting international organizational accountability, their mechanisms of accountability are not keeping up with the evolution in their operations. In the interests of promoting new and creative thinking about these issues, it will also make an ambitious proposal for how the MDBs jointly …
China’S Economic Slowdown: How Does It Affect New Zealand’S Economy?,
2025
Claremont Colleges
China’S Economic Slowdown: How Does It Affect New Zealand’S Economy?, Haven Qin
CMC Senior Theses
This paper examines the impact of China’s economic slowdown on New Zealand’s economy, focusing on sector-specific linkages across real estate, the stock market, exports, and import prices. As a small open economy, New Zealand’s deep integration with global markets makes it particularly vulnerable to external shocks from its largest trading partner. Employing OLS regression models and monthly economic data, this study reveals the nuanced pathways through which China’s economic conditions influence New Zealand. Key findings include the sensitivity of New Zealand’s housing market to Chinese property investments and Chinese stock market performance, the influence of Chinese financial market performance on …
Trade Tensions And Consumer Decisions: Evidence From Taxable Sales During The 2018 Us-China Trade War,
2025
Claremont McKenna College
Trade Tensions And Consumer Decisions: Evidence From Taxable Sales During The 2018 Us-China Trade War, Eddie Wei
CMC Senior Theses
This paper examines the consumption response to the 2018 US-China trade war. While prior research has largely focused on economic outcomes such as export values, income, and employment, trade policies may also have salient distributional consequences for consumption. On one hand, import tariffs may boost well-being in regions with greater employment in protected sectors, such as manufacturing. On the other hand, retaliatory tariffs may raise prices overall and depress consumption in areas more reliant on the Chinese market, such as agriculture. To explore these dynamics, I construct a novel dataset of county-level taxable sales, capturing both household and business spending. …
Unintended Consequences: Exploring The Nexus Between Us Foreign Aid, Governance, & Conflict Fatalities,
2025
Claremont Colleges
Unintended Consequences: Exploring The Nexus Between Us Foreign Aid, Governance, & Conflict Fatalities, Audrey Hope Donahue
CMC Senior Theses
This paper examines the impact of United States foreign aid on civil violence in recipient countries, specifically investigating the interaction between aid implementation channels—bilateral aid, implemented directly by recipient governments, vs. multilateral aid, implemented through Non-Governmental Organizations (NGOs) or other multilateral partners—and governance quality. Using a panel dataset covering 49 countries from 1996 to 2022, the study measures the effect of aid on violence through conflict-related fatalities normalized by population. A fixed-effects regression model is employed to control for country-specific and time-specific factors, revealing that in countries with poor governance, bilateral aid is associated with a reduction in conflict fatalities, …
The Black-Market Commodification Of Human Organs And Bones: A Marxist Perspective,
2025
University of Nebraska-Lincoln
The Black-Market Commodification Of Human Organs And Bones: A Marxist Perspective, Erik Schulz
Nebraska Anthropologist
The trade and treatment of human remains, while seemingly straightforward, have increasingly become subjects of ethical and moral debate. Over time and in light of recent events, questions have emerged regarding the appropriateness of how human remains are handled and exchanged. This paper examines these issues through the lens of Marxist framework and the perspective of forensic anthropology. The objective is to provide contextual understanding and encourage a reevaluation of current practices, particularly within academic settings, to ensure that human morals, dignity and ethical standards are upheld.
