The Secret Life Of Nim: How Regulation Affects Bank Balance Sheets And Consumer Consequences,
2025
Ursinus College
The Secret Life Of Nim: How Regulation Affects Bank Balance Sheets And Consumer Consequences, Alexandra Nenish
Business and Economics Honors Papers
After the Great Recession of 2008, the Dodd-Frank Wall Street Reform and Consumer Protection Act was passed by the Obama Administration in 2010 with hopes to protect citizens against economic downturn spurred by poor banking behaviors. This act of federal financial oversight was unprecedented, and its magnitude and level of strictness caused banks to see an increase in costs, such as increases in personnel numbers and non-interest earning reserve requirements. This research analyzes how banks, specifically community banks, paid for these increased costs by focusing on the net interest margin (NIM). The NIM is a prominent profitability ratio for banking …
New York Camp Econometrics Xix Program,
2025
Syracuse University
New York Camp Econometrics Xix Program, Center For Policy Research
Camp Econometrics-Programs
No abstract provided.
Two-Stage Least Squares Estimation In A Spatial Lag Model Under A Complete Bipartite Network,
2025
Syracuse University
Two-Stage Least Squares Estimation In A Spatial Lag Model Under A Complete Bipartite Network, Badi H. Baltagi, Long Liu
Center for Policy Research
This paper considers a spatial lag model with a complete bipartite network weighting matrix which is important in network theory. We show that two-stage least squares is equivalent to ordinary least squares and both estimators are inconsistent for the cross-section data case. This result has also been derived for the spatial lag model with an equal weight matrix by Kelejian and Prucha (2002). We also show that the fixed effects two-stage least squares estimator is consistent in case we have panel data and the spatial lag model includes time fixed effects. This is different from the result for an equal …
Health Crisis And Currency Risk: Fresh Evidence From New Data Sets,
2025
Centre for Econometrics and Applied Research, Ibadan, Nigeria.
Health Crisis And Currency Risk: Fresh Evidence From New Data Sets, Afees A. Salisu, Dinci J. Penzin, Yinka S. Hammed
Bulletin of Monetary Economics and Banking
With the aid of a method of predictability analysis that involves a feasible quasigeneralized least squares estimator, we examine the predictive power associated with the newly computed COVID-19 indices, which are disaggregated into six indices for currency market risks (realized volatility of exchange rate). Our sample size covers the period between December 31, 2019, and December 28, 2021. We note mixed outcomes for the major currency markets considered. On average, while the health crisis seems to have heightened the risks associated with Pounds Sterling, Australian Dollar and Canadian Dollar against USD, it exerts a moderating effect on the Euro, Yen …
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, …
What About The Buyers? Deriving Factors Of Demand In The U.S. Black Market,
2025
Bellarmine University
What About The Buyers? Deriving Factors Of Demand In The U.S. Black Market, Eric S. Schneider
Undergraduate Theses
The vast majority of econometric research regarding black markets focuses on the supply. Relatively little information is definitively shown in academic literature regarding the drivers of demand for black markets. This project seeks to identify factors of demand for black market goods and services. First, this paper gives a brief definition of the broad definition of black markets, before specifically defining the scope of individual markets which will be included in this project. Next, there is a brief review of recent literature on the U.S. black market in order to determine prime candidates for factors of demand. Then, a robust …
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 …
Beyond The Suburban Ideal: Addressing Southern California’S Strained Affordable Housing Market Through Density Bonus Programs,
2025
Pepperdine University
Beyond The Suburban Ideal: Addressing Southern California’S Strained Affordable Housing Market Through Density Bonus Programs, Alissa Larue
School of Public Policy Capstones
This study examines how expanding Accessory Dwelling Units (ADUs) could serve as an effective policy solution to address the housing affordability crisis. In San Diego, a Bonus Program has been implemented to incentivize the construction of affordable ADUs by relaxing burdensome regulations. A Differences-in-Differences approach using two-way fixed effects is employed to evaluate the program's effectiveness in promoting ADU development, using city-level data from San Diego and Los Angeles counties. ADU permit applications serve as a key indicator of policy impact. The findings strongly suggest that the Bonus Program influenced increasing ADU permit applications in San Diego. Because the model …
Effects Of Bureaucratic Corruption On Firms' Financial Constraints,
2025
Northern Illinois University
Effects Of Bureaucratic Corruption On Firms' Financial Constraints, Obinna Franklin Ezeibekwe
The Journal of Entrepreneurial Finance
This study provides the first empirical assessment of the causal impact of bureaucratic corruption on firms' financial constraints in Nigeria by calculating treatment effects using linear and non-linear estimators to account for potential heterogeneous treatment effects across firm groups. Formally, the theoretical framework models how corruption may facilitate or restrain firms' financial access by shaping their cost functions, which consequently influences their success or failure and ability to raise the collateral for borrowing. My analysis, using the bivariate probit method and two binary instruments, reveals that corruption significantly increases the probability of a representative MSME and firm being financially constrained …
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.
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.
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.
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 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.
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 …
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, …
Estimation And Inference In A Possibly Multicointegrated System With A Fixed Number Of Instruments,
2025
Singapore Management University
Estimation And Inference In A Possibly Multicointegrated System With A Fixed Number Of Instruments, Yixiao Sun, Peter C. B. Phillips, Igor L. Kheifets
Research Collection School Of Economics
This paper shows that the mixed normal asymptotic limit of the trend IV estimator with a fixed number of deterministic instruments (fTIV) holds in both singular (multicointegrated) and nonsingular cointegration systems, thereby relaxing the exogeneity condition in (Phillips and Kheifets, 2024, Theorem 1(ii)). The mixed normality of the limiting distribution of fTIV allows for asymptotically pivotal F and t tests about the cointegration parameters and for simple efficiency comparisons of the estimators for different numbers K of instruments, as well as comparisons with the trend IV estimator when K→∞ with the sample size.
