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, …
Dampak Program Padat Karya Tunai Desa (Cash-For-Work) Terhadap Kriminalitas Desa Di Jawa Timur,
2025
Fakultas Ekonomika dan Bisnis, Universitas Diponegoro, Semarang, Indonesia
Dampak Program Padat Karya Tunai Desa (Cash-For-Work) Terhadap Kriminalitas Desa Di Jawa Timur, Bella M. Sabrina, Evi Y. Purwanti
Jurnal Kebijakan Ekonomi
High crime rates in rural areas indicate development inequality and low welfare. The government initiated the Padat Karya Tunai Desa Program (Cash-for-Work) to improve welfare by providing employment. Using the Difference-in-Difference method with 2018 and 2021 PODES data from 7,721 villages in East Java, this study analyzes the impact of the PKTD Program and socio-economic factors on crime using three measures: total crime types, theft, and violence. Results show that the Cash-for-Work program does not reduce total crime types and violence, but has the potential to reduce theft. The number of poor-family increases crime, while the number of micro-industries reduces …
The Role Of Gender Equity In Olympic Success Using Panel Data,
2025
Bryant University
The Role Of Gender Equity In Olympic Success Using Panel Data, Anusha Khan
Honors Projects in Mathematics and Economics
This study investigates whether gender equity is one of the determinants of Olympic success at the country level. Using panel data with 766 observations from six Olympic years (2012–2022), it examines the relationship between gender equity and national medal counts. Three Ordinary Least Squares (OLS) models were estimated using total, men’s, and women’s medal counts as dependent variables. While the findings vary across models, results suggest that gender equity may be positively associated with Olympic performance, though its significance is limited when controlling for other social and economic variables.
Doing More Good For Less: Salvaging Development Aid,
2025
Ursinus College
Doing More Good For Less: Salvaging Development Aid, Trey Dykeman
Richard T. Schellhase Essay Prize in Ethics
In stark contrast to its peak in the Marshall Plan era, professional sentiment towards international development aid has become increasingly pessimistic as its shortcomings have become apparent. Inter alia, leading thinkers charge development aid with enabling and sustaining economic dependency, governmental corruption, political power imbalances, and paternalism. Even so, there may be diamondlike programs in the development aid rough. Cash and voucher assistance (CVA) programs—a subset of development aid—have seen moderate success. In particular, as compared to other forms of aid, unconditional cash transfer programs (UCTs)—a specific type of CVA—appear economical and effective and avoid many of the above …
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 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 …
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 …
Assessing Awareness And Trade Facilitation Under The Afcfta: A Focus On Small-Scale Cross-Border Traders In The Southern African Development Community,
2025
Independent consultant
Assessing Awareness And Trade Facilitation Under The Afcfta: A Focus On Small-Scale Cross-Border Traders In The Southern African Development Community, Faith Mbakhwa
Southern African Journal of Policy and Development
The African Continental Free Trade Area (AfCFTA) and the Southern African Development Community (SADC) Protocol on Trade present significant opportunities for trade facilitation reforms, particularly for small-scale crossborder traders (SSCBTs). However, the success of these initiatives hinges on the awareness and participation of these key stakeholders. This study investigates the awareness levels of SSCBTs regarding the AfCFTA, and analyses their understanding of trade facilitation reforms and their perceptions of the benefits and challenges of these reforms. Drawing on border reviews across 12 SADC commercial border posts and on interviews with traders and customs officials, the study identities significant gaps in …
Preparing Youth For Careers In Drone Aviation: Evaluating Washington County 4-H Drone Camps,
2025
Utah State University
Preparing Youth For Careers In Drone Aviation: Evaluating Washington County 4-H Drone Camps, Paul A. Hill, Aubree L. Miller, Katarina J. Aikens
Outcomes and Impact Quarterly
Drone technology presents growing career opportunities, yet youth access to education in this field remains limited. This study evaluates the Washington County 4-H Drone Camps, which aimed to equip youth in 4th – 8th graders with essential knowledge and skills in drone aviation. The Drone Camps focused on competencies such as drone anatomy, FAA regulations, and piloting skills. Evaluation results indicated youth improved in all competency areas after completing the camp. The Washington County 4-H Drone Camps effectively allowed youth to explore drone technologies and prepare them for a possible career pathway.
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.
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 …
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.
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 …
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, …
The Role Of Affordable Housing In Enhancing Tenants' Economic Stability In Connecticut: A Focus On Income, Employment, And Housing Stability,
2025
National Louis University
The Role Of Affordable Housing In Enhancing Tenants' Economic Stability In Connecticut: A Focus On Income, Employment, And Housing Stability, Osaid Zubi
Dissertations
This study examined the role of affordable housing in promoting economic stability among low- and moderate-income households in Connecticut. Focusing on income security, employment opportunities, and housing retention, this research highlighted the significance of affordable housing as a means to alleviate financial strain, support job retention, and foster community resilience. Utilizing a phenomenological approach, the study gathered insights from tenants, policymakers, and developers through conducting interviews and a focus group. Connecticut was chosen as the study site due to its high cost of living and affordable housing shortage, exacerbated by its proximity to New York City. Findings underscore the economic …
Firm Selection And Growth In Carbon Offset Markets: Evidence From The Clean Development Mechanism,
2025
Fudan University
Firm Selection And Growth In Carbon Offset Markets: Evidence From The Clean Development Mechanism, Qiaoyi Chen, Nicholas Ryan, Daniel Yi Xu
Discussion Papers
We study carbon offsets sold by firms in China under the Clean Development Mechanism (CDM). We find that offset-selling firms, meant to cut carbon emissions, instead increase them by 49% after starting an offset project. In a model of firm investment decisions and offset review, we estimate that CDM firms increase emissions due to both the selection of higher-growth firms into projects (35 pp) and because offset projects themselves boost firm growth and therefore emissions (14 pp). The CDM reduces global surplus by causing damages from increased emissions four times greater than private gains from trade in the offset market.
