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Articles 1111 - 1140 of 1664
Full-Text Articles in Economics
The Role Of Gender Equity In Olympic Success Using Panel Data, Anusha Khan
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.
The Pitch Clock's Impacts On The Game Of Baseball, Cole Ricciarelli
The Pitch Clock's Impacts On The Game Of Baseball, Cole Ricciarelli
Honors Projects in Mathematics and Economics
Past research has investigated what on-field statistics have impacted the success of MLB teams. However, this paper aims to look at the effect that the recent rule change of the pitch clock has on the win percentage of MLB teams. With the implementation of the pitch clock, it was expected that teams with a lower average pitch time would see more success. Using data from the 2013-2024 seasons, statistical analysis was run to determine which variables impacted team win percentage the most. It was found that average pitch times of pitchers did not play a significant role in overall team …
Investing In "Left Behind" Places: Learning From Native American Tribal Communities, Robert Maxim
Investing In "Left Behind" Places: Learning From Native American Tribal Communities, Robert Maxim
Brookings Scholar Lecture Series
As part of the Brookings Scholar Lecture Series, Brookings Mountain West presents a lecture titled, "Investing in 'Left Behind' Places: Learning from Native American Tribal Communities" by Brookings fellow in Brookings Metro, Robert Maxim.
Over the past decade, U.S. political and economic discourse has centered on helping “left behind” places. The federal government joined this conversation, emphasizing everything from tariffs and trade protectionism to revitalize domestic industry, to landmark industrial policy bills aimed at pouring new federal investment into lagging places. Native American tribes can serve as an important case study for understanding how federal, state, and local policies can …
Collaborative Research Report: Building Home Care Worker Capacity, Luke Santore, Catherine Ipsen, Stephen Mccall, Jiyeon Kim, Genna M. Mashinchi
Collaborative Research Report: Building Home Care Worker Capacity, Luke Santore, Catherine Ipsen, Stephen Mccall, Jiyeon Kim, Genna M. Mashinchi
Employment
RTC:Rural and PHI researchers examine the rising demand for home-based care and ways to increase the workforce and retain home care workers through worker-supportive policies such as increased wages and healthcare insurance.
Doing More Good For Less: Salvaging Development Aid, Trey Dykeman
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 …
Skating For A Payday: Analyzing Nhl Player Performance In Contract Years, Mike Anthony Dibenedetto
Skating For A Payday: Analyzing Nhl Player Performance In Contract Years, Mike Anthony Dibenedetto
Honors Projects in Economics
This research investigates the contract year phenomenon in the National Hockey League (NHL) by analyzing player performance during contract years rather than salary outcomes. Through an extensive literature review and empirical analysis, I examine whether NHL players exhibit statistically significant differences in performance during the final year of their contracts. Drawing from a broad range of studies on performance motivation, team systems, free agency, arbitration rights, and the role of advanced analytics, this paper synthesizes existing theories with new regression-based evidence.
Using a dataset of 2,717 player-season observations, I evaluate the effect of contract year status on key performance metrics, …
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.
Enhancing Cryptocurrency Security And Trend Prediction Using Xgboost: An Ai-Driven Approach, Shrenik Kamma
Enhancing Cryptocurrency Security And Trend Prediction Using Xgboost: An Ai-Driven Approach, Shrenik Kamma
Honors Projects in Mathematics and Economics
Cryptocurrency, a digital currency secured by cryptography, has soared in popularity since the introduction of Bitcoin in 2009. While offering benefits like decentralization and faster transactions, it also faces challenges such as security threats and market volatility. Artificial intelligence (AI) presents a promising solution to enhance security and predict trends in the cryptocurrency market. This thesis explores how AI can be utilized to strengthen the security of cryptocurrency transactions and predict market trends. By analyzing current security measures, AI-driven approaches, and predictive models, this study aims to contribute to the development of innovative solutions for navigating cryptocurrency.
Risk And Outcomes Of Pregnancy-Related Acute Kidney Injury: A Cohort In Bronx, Ny, Erica Marnet, Mayssaa Hoteit, Isbell Crevantes, Sonail Gupta, Ladan Golestaneh
Risk And Outcomes Of Pregnancy-Related Acute Kidney Injury: A Cohort In Bronx, Ny, Erica Marnet, Mayssaa Hoteit, Isbell Crevantes, Sonail Gupta, Ladan Golestaneh
Posters
Pregnancy-related acute kidney injury (PR-AKI) has been increasing in incidence and is associated with worse maternofetal outcomes. The goal of this study is to examine risk and hospitalization outcomes of PR-AKI compared to pregnancy without AKI in a low-income, minoritized population in Bronx, New York
The Renewable Divide: Examining The Impact Of Renewable Energy On Pollution Across Development Levels, Andrea Ortiz Mieses
The Renewable Divide: Examining The Impact Of Renewable Energy On Pollution Across Development Levels, Andrea Ortiz Mieses
Honors Projects in Mathematics and Economics
This paper uses linear regression to analyze the relationship between renewable energy and environmental quality in both developed and developing countries. Developed nations often have stricter regulations and lower pollution levels, while developing nations prioritize economic growth, leading to rising pollution. Using data from the World Bank, World Health Organization, the Organization for Economic Co-operation and Development, and the International Monetary Fund, this research aims to identify how renewable energy consumption in these contrasting contexts impact environmental outcomes. The analysis explores the effectiveness of various environmental conditions, using regression analysis to assess the impact of renewable energy on air pollution. …
Polarization And The Decline Of Economic Voting In American National Elections, Christopher Ellis, Joseph Daniel Ura
Polarization And The Decline Of Economic Voting In American National Elections, Christopher Ellis, Joseph Daniel Ura
Working Papers
No abstract provided.
Ai Adoption And Wage Growth In U.S. Industries: A Sectoral Analysis, Demitrius Andrellos
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 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, Jose Manuel Fernandez Pou
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
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, 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 …
Implementation Of Performance-Based Budgeting For Public Health Care Service Delivery In An Emerging Economy, Isaac O. Randa, Christine A. Adere
Implementation Of Performance-Based Budgeting For Public Health Care Service Delivery In An Emerging Economy, Isaac O. Randa, Christine A. Adere
Southern African Journal of Policy and Development
This study investigates the determinants and implications of the implementation of performance-based budgeting (PBB) on public health care service delivery at the Ministry of Health and Social Services (MoHSS) in Windhoek, Namibia. Using a cross-sectional survey research design targeting 100 respondents, this study employed a quantitative research approach involving MoHSS's budgeting and health care services departments. Data were analysed using partial least squares structural equation modelling. Communication, bureaucratic structures, and implementers’ disposition significantly influenced PBB implementation alignment, thereby enhancing service delivery. However, resource utilisation showed no significant effect. Additionally, implementation alignment effectively mediated the relationship between latent exogenous variables and …
The Price Of Victory: A Machine Learning Analysis Of How Salary Dispersion Influences Team Success In Major League Baseball, Joseph Belsanti
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, Blaisedel Frampton
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
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
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, Chanboremey Teng
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, …
Effects Of Bureaucratic Corruption On Firms' Financial Constraints, Obinna Franklin Ezeibekwe
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 …
Exploring Dynamic Extreme Dependence Of Oil And Agricultural Markets, Khalid M. Kisswani, Amine Lahiani, Mahelet G. Fikru
Exploring Dynamic Extreme Dependence Of Oil And Agricultural Markets, Khalid M. Kisswani, Amine Lahiani, Mahelet G. Fikru
Economics Faculty Research & Creative Works
This study examines the dynamic extreme dependence between oil markets and a set of non-exploited agricultural assets (Barley, coffee, maize, rice, sorghum, sugar, wheat) prices using 1990–2023 monthly prices data. Our time-varying copula models allow us to investigate nonlinear and asymmetric dependence between pairwise assets. We find evidence of positive exceedance correlation at small and medium quantiles/thresholds and negative exceedance correlation for quantiles higher than 0.6 for five out of seven food assets. Findings also indicate a tent-shaped quantile dependence for all food assets and demonstrate a time variation in the association path between oil and food asset returns. Important …
Fhsu Students’ Economic Perceptions & Expectations, Quentin Boxberger, Kassadee Dickey, Samuel Schreyer
Fhsu Students’ Economic Perceptions & Expectations, Quentin Boxberger, Kassadee Dickey, Samuel Schreyer
SACAD: Scholarly Activities
Economic perceptions and expectations (P&E) held by college students influence many essential choices they make throughout college. Based on a survey administered in March 2025, our FHSU Student Confidence Index increased by nearly 2% from the previous year. Overall, most respondents remain optimistic about the competitiveness of their degree and ability to secure a job after graduation, more so than evident within 2024.
How Industrial Clusters Affect Technological Innovation: Evidence From Vanyang Small & Micro Industrial Park, Jianming Wu
How Industrial Clusters Affect Technological Innovation: Evidence From Vanyang Small & Micro Industrial Park, Jianming Wu
Dissertations and Theses Collection (Open Access)
This study focuses on the mechanism through which industrial clusters enhance technological innovation among micro and small enterprises. Using the VanYang Micro-Enterprise Park in Zhejiang Province as a representative case, the research integrates perspectives from industrial cluster theory, innovation theory, and spatial economics to explore how clustered environments influence enterprise innovation performance through resource integration, knowledge spillovers, and organizational collaboration. Departing from traditional static comparative methods, this study adopts an event study approach to dynamically capture the impact trajectory and temporal structure of enterprise innovation performance, with "entry into the park" serving as the key event.
Based on panel data …
Transforming The Feminist Movement – How Female Celebrities Influence The Economic Power And Consumer Behaviors Of Women, Erin Lewantowicz
Transforming The Feminist Movement – How Female Celebrities Influence The Economic Power And Consumer Behaviors Of Women, Erin Lewantowicz
Senior Theses
This thesis explores the evolving relationship between feminism, economic power, and celebrity culture in the 21st century. Through an examination of three key industries—entertainment, athletics, and influencers—this study highlights how female celebrities like Taylor Swift, Caitlin Clark, and Alix Earle act as catalysts for significant shifts in women’s economic and consumer power. Taylor Swift’s impact on the entertainment industry, Caitlin Clark’s role in redefining women’s sports, and Alix Earle’s influence on the social media marketing landscape illustrate the growing authority of women as consumers and change-makers. Utilizing social media, brand partnerships, and unprecedented fan engagement, these women transcend traditional …
Demography, Human Capital, And Structural Change, Arjun Anand
Demography, Human Capital, And Structural Change, Arjun Anand
Economics Undergraduate Senior Theses
This paper examines the role of demography and human capital transmission in shaping structural change during American industrialization (1860–1920). Using linked Census data, I document three stylized facts: (i) young individuals drive the transition to manufacturing; (ii) young migrants prioritize future earnings potential over current wages, whereas older workers prioritize current wages; and (iii) intergenerational income persistence is conditional on remaining in the parental sector. To reflect these findings, I incorporate overlapping generations with age-based preferences and intergenerational human capital transmission into a dynamic general equilibrium economic geography model. After calibrating the model, I conduct counterfactual experiments to quantitatively assess …
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, Paul A. Hill, Aubree L. Miller, Katarina J. Aikens
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.