Economics Commons^™

Hoop Dreams: An Empirical Analysis Of The Gender Wage Gap In Professional Basketball, Hailey Dicicco

Business and Economics Presentations

The gender wage gap is a very prominent point of discussion in the professional world, but in the sports world, it has taken the spotlight in recent years. One sport that has seen discussion and debate over salary differences is the National Basketball Association and Women’s National Basketball Association. In 2018, the average salary in the NBA was 6.4 million dollars, while the average salary in the WNBA was 71,635 dollars. A reason why these salaries are so differently is due to the amount of revenue that each league brings in. The NBA brings in roughly 7.4 billion dollars a …

Data Science In The Public Interest: Improving Government Performance In The Workforce, Joshua D. Hawley

Upjohn Press

This book is about how new and underutilized types of big data sources can inform public policy decisions related to workforce development. Hawley describes how government is currently using data to inform decisions about the workforce at the state and local levels. He then moves beyond standardized performance metrics designed to serve federal agency requirements and discusses how government can improve data gathering and analysis to provide better, up-to-date information for government decision making.

Why Quadratic Log-Log Dependence Is Ubiquitous And What Next, Sean R. Aguilar, Vladik Kreinovich, Uyen Pham

Departmental Technical Reports (CS)

In many real-life situations ranging from financial to volcanic data, growth is described either by a power law -- which is linear in log-log scale, or by a quadratic dependence in the log-log scale. In this paper, we use natural scale invariance requirement to explain the ubiquity of such dependencies. We also explain what should be a reasonable choice of the next model, if quadratic turns out to be not too accurate: it turns out that under scale invariance, the next class of models are cubic dependencies in the log-log scale, then fourth order dependencies, etc.

Eco 230 / Mgt 230 Introduction To Economic And Managerial Statistics, George Vachadze

Open Educational Resources

Development and application of modern statistical methods, including such elements of descriptive statistics and statistical inference as correlation and regression analysis, probability theory, sampling procedures, normal distribution and binomial distribution, estimation, and testing of hypotheses.

Economic Determinants Of Energy Intensity: A Country Panel Analysis, Dehdar Fatemeh

Student Works (2020-2029)

Efforts to lower energy intensity increased initially as a result of rising fuel prices following the first and second oil shocks, which subsequently became serious owing to mounting evidence that fossil fuels are a major cause of climate change and global warming. Energy source is a key problem associated with climate change as oil and gas, and coal constitute major components of fossil fuels. However, the extant literature remains divided on the determinants of energy intensity. For the purpose of filling this gap, this study modeled energy intensity and used panel annual data from 84 countries, (divided to stable and …

Evaluating Human Versus Machine Learning Performance In Classifying Research Abstracts, Yeow Chong Goh, Xin Qing Cai, Walter Theseira, Giovanni Ko, Khiam Aik Khor

Research Collection School Of Economics

We study whether humans or machine learning (ML) classification models are better at classifying scientific research abstracts according to a fixed set of discipline groups. We recruit both undergraduate and postgraduate assistants for this task in separate stages, and compare their performance against the support vectors machine ML algorithm at classifying European Research Council Starting Grant project abstracts to their actual evaluation panels, which are organised by discipline groups. On average, ML is more accurate than human classifiers, across a variety of training and test datasets, and across evaluation panels. ML classifiers trained on different training sets are also more …

Introduction To The R-Package: Usdampr, Elliott James Dennis, Bowen Chen

Extension Farm and Ranch Management News

Why the Need for the Package? In the 1990’s, concern over growing packer concentration and a hog industry market shock resulted in discontent among producers and packers. As a result, the United States Congress passed the Livestock Mandatory Reporting Act of 1999 (1999 Act) [Pub. L. 106-78, Title IX] which is required to be reauthorized every five years. See here for a full history of the Livestock Mandatory Reporting Background.

Market reports were publicly issued in the form of .txt files with varying frequency from April 2000 to April 2020. Current and historical data were also housed in a USDA-AMS …

The Accumulation Of It Capability And Its Long-Term Effect On Financial Performance, Jin Ho Kim

Theses and Dissertations in Business Administration

Many scholars have been studying information technology (IT) capability and its impact on business performance. However, it has been debated whether the IT capability influences firm performance because prior literature shows mixed results. To understand this phenomenon, I performed two studies in this research, placed in two parts. First, by deploying the new concept of accumulation of IT capability, I attempted to reinvestigate the relationship between IT capability and business performance. Next, I examined what factors influence the accumulation of IT capability. In the first part, I suggested two novel constructs that measure the extent of the accumulation of IT …

Subspace Portfolios: Design And Performance Comparison, Anqi Xiong

Dissertations

Data processing and engineering techniques enable people to observe and better understand the natural and human-made systems and processes that generate huge amounts of various data types. Data engineers collect data created in almost all fields and formats, such as images, audio, and text streams, biological and financial signals, sensing and many others. They develop and implement state-of-the art machine learning (ML) and artificial intelligence (AI) algorithms using big data to infer valuable information with social and economic value. Furthermore, ML/AI methodologies lead to automate many decision making processes with real-time applications serving people and businesses. As an example, mathematical …

Commonsense Explanations Of Sparsity, Zipf Law, And Nash's Bargaining Solution, Olga Kosheleva, Vladik Kreinovich, Kittawit Autchariyapanitkul

Departmental Technical Reports (CS)

As econometric models become more and more accurate and more and more mathematically complex, they also become less and less intuitively clear and convincing. To make these models more convincing, it is desirable to supplement the corresponding mathematics with commonsense explanations. In this paper, we provide such explanation for three economics-related concepts: sparsity (as in LASSO), Zipf's Law, and Nash's bargaining solution.

Economics Of Reciprocity And Temptation, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, Nguyen Ngoc Thach

Departmental Technical Reports (CS)

Behavioral economics has shown that in many situations, people's behavior differs from what is predicted by simple traditional utility-maximization economic models. It is therefore desirable to be able to accurately describe people's actual behavior. In some cases, the difference from the traditional models is caused by bounded rationality -- our limited ability to process information and to come up with a truly optimal solutions. In such cases, predicting people's behavior is difficult. In other cases, however, people actually optimize -- but the actual expression for utility is more complicated than in the traditional models. In such case, it is, in …

Analyzing Competitive Balance In Professional Sport, Kevin Alwell

Honors Scholar Theses

In this paper we review several measures to statistically analyze competitive balance and report which leagues have a wider variance of performance amongst its competitors. Each league seeks to maintain high levels of parity, making matches and overall season more unpredictable and appealing to the general audience. Here we quantify competitive advantage across major sports leagues in numbers using several statistical methods in order for leagues to optimize their revenue.

Classification Of Dividend News Based On The Movement Of The Share Market Prices Of Public Listed Companies In Bursa Malaysia, Vijaya Kumar Shubana

Student Works (2020-2029)

Stock market is naturally complex and plays a major role in towards the nation’s growth. However, the performance of a company in stock market varies due to many influences but not limited to economics, political and financial related news. This study attempts to classify the share market dividend news announcement in Bursa Malaysia based on the pattern of share market price. Samples including five hundred (500) observations of dividend news from forty-seven (47) listed companies in Bursa Malaysia during the period of 2000 to 2018 are used in this study. There are three (3) main objectives in this study which …

Predicting The Federal Funds Rate, Danielle Herzberg

Undergraduate Theses and Capstone Projects

This thesis examines various economic indicators to select those that are the most significant in a predictive model of the Effective Federal Funds Rate. Three different statistical models were built to show how monetary policy changed over time. These three models frame the last economic downturns in the United States; the tech bubble, the housing bubble, and the Great Recession. Many iterations of statistical regressions were conducted in order to achieve the final three models that highlight variables with the highest levels of significance. It is important to note the economic data has high levels of autocorrelation, and that these …

Interdependence Across Foreign Exchange Rate Markets- A Mixed Copula Approach, Richard Adjei-Boateng

Masters Theses & Specialist Projects

The purpose of this thesis is to study the dependence structure of exchange rate pairs using a mixture of copula as opposed to a single copula approach. Mixed copula models have the ability to generate dependence structures that do not belong to existing copula families. The flexibility in choosing component copulas in this mixture model aids the construction of a system that is simultaneously parsimonious and flexible enough to generate most dependence patterns in exchange rate data. Furthermore, the method of mixture copulas facilitates the separation of both the structure and degree of dependence, concepts that are respectively embodied in …

How To Explain The Anchoring Formula In Behavioral Economics, Laxman Bokati, Vladik Kreinovich, Chon Van Le

Departmental Technical Reports (CS)

According to the traditional economics, the price that a person is willing to pay for an item should be uniquely determined by the value that this person will get from this item, it should not depend, e.g., on the asking price proposed by the seller. In reality, the price that a person is willing to pay does depend on the asking price; this is known as the anchoring effect. In this paper, we provide a natural justification for the empirical formula that describes this effect.

How Long Can Neoliberalism Withstand Climate Crisis?, Julius Mcgee, Patrick Greiner

Urban Studies and Planning Faculty Publications and Presentations

The climate crisis is proving to be antithetical to the neoliberal machines that define current forms of social organization. On the one hand, reducing fossil fuel consumption, the largest contributor to climate change, requires collaborative efforts. These efforts must take into consideration the foundational role of fossil fuels in modern economies. We must acknowledge, for instance, that most peoples’ livelihoods are tethered to fossil fuels, which recent studies have demonstrated is not the result of random historical development but deliberate policy.1 Fossil fuels continue to be used as a form of social domination—a means to expropriate productive and reproductive …

Does Applying Deep Learning In Financial Sentiment Analysis Lead To Better Classification Performance?, Tao Wang, Changhe Yuan, Cuiyuan Wang

Publications and Research

Using a unique data set from Seeking Alpha, we compare the deep learning approach with traditional machine learning approaches in classifying financial text. We apply the long short-term memory (LSTM) as the deep learning method and Naive Bayes, SVM, Logistic Regression, XGBoost as the traditional machine learning approaches. The results suggest that the LSTM model outperforms the conventional machine learning methods on all metrics. Based on the tSNE graph, the success of the LSTM model is partially explained as the high-accuracy LSTM model distinguishes between positive and negative important sentiment words while those words are chosen based on SHAP values …

La Minería Del Litio En Salinas Grandes: Un Análisis De Diferentes Narrativas En Torno A La Extracción De Litio Desde 2010 Hasta El Presente / Lithium Mining In The Salinas Grandes: An Analysis Of Different Narratives Surrounding The Extraction Of Lithium From 2010 Until The Present, Sofia Perrotto

Independent Study Project (ISP) Collection

El litio ha ocupado una posición muy interesante y controvertida dentro del movimiento ambiental desde su descubrimiento en 2010. Entre los muchos usos de este metal precioso está la fabricación de baterías, que es un componente esencial para la transición hacia una "economía verde". Los vehículos eléctricos y las unidades de almacenamiento de energía que funcionan con baterías de litio son dos tecnologías importantes para este movimiento, y como resultado, la demanda de litio está aumentando en el mercado global. En las Salinas Grandes, la cuestión de la extracción de litio involucra a una variedad de actores que tienen diferentes …

Quantum (And More General) Models Of Research Collaboration, Oscar Galindo, Miroslav Svitek, Vladik Kreinovich

Departmental Technical Reports (CS)

In the last decades, several papers have shown that quantum techniques can be successful in describing not only events in the micro-scale physical world -- for which they were originally invented -- but also in describing social phenomena, e.g., different economic processes. In our previous paper, we provide an explanation for this somewhat surprising successes. In this paper, we extend this explanation and show that quantum (and more general) techniques can also be used to model research collaboration.

The Interplay Between Economic Growth And The Environment: The Case Of China, Christian D. Carpio-Thomas

Electronic Theses and Dissertations

Historically, economic development has come at the cost of environmental degradation. Since the 1980s, neoliberalism rooted in neoclassical theory has dominated mainstream economic thought. The result has been a dramatic increase in environmental degradation in favor of economic growth. The neoliberal recommendations toward development are encapsulated in the Washington and post-Washington Consensuses which promote the liberalization of trade and foreign investment as well as a reliance on market mechanisms. Ultimately, the goal of neoliberalism is to generate growth regardless of the impact that it places on the environment. The case of China presents an example of an economy which pursued …

An Exploratory Study On The Managerial Competencies Of First-Line Managers In A Philippine University, Alyssa Kaye S. Mojar, Dinah Pura T. Depositario

Journal of Economics, Management and Agricultural Development

Faculty and researchers, mostly well-trained, usually fill managerial positions at universities. Still, they do not have formal management training. This qualitative study examined the managerial competencies of 11 university firstline managers. Using Kurz and Bartram’s Great Eight Competency Theory (2002) for the thematic analysis of the interview transcripts, most of the respondents exhibited all eight competencies. However, they differed in terms of manifestations. A typology of academic administrators was developed based on the eight competencies, namely: (1) delegator, (2) accommodator, (3) director, and (4) initiator. Further quantitative research is recommended to refine this typology. Likewise, to develop current and potential …

An Analysis Of The Success Of Farmers Markets In Kentucky Using Logistic Regression And Support Vector Machines, Jeron Russell

Mahurin Honors College Capstone Experience/Thesis Projects

The purpose of this research is to look at the relationship that market-specific, economic, and demographic variables have with the success of farmers markets in Kentucky. It additionally seeks to build a tool for predicting farmers market success that could be used by policy makers to aid in decision-making processes concerning farmers markets. Logistic regression and Support Vector Machines (SVMs) are used on data acquired from the Kentucky Department of Agriculture and the American Community Survey in order to analyze the data in a traditional statistical approach as well as a machine learning approach. The results included an SVM model …

Innovation And Market Leadership In A Technology Industry, Wilson Zehr

Walden Dissertations and Doctoral Studies

According to the Abernathy-Utterback (A-U) model, firms focus on technological product innovation early in the product lifecycle and then shift to process innovation as markets mature. However, there is no consensus on the forms that non-technological innovation can take. In addition, the A-U model, which guides innovators, does not include forms of non-technological innovation that are generally accepted by experts. In this study, a hybrid e-Delphi technique with an AHP decision model was used to evaluate the forms of innovation used to establish market leadership over the historical lifecycle of the personal computer industry in the United States. In Phase …

Customer And Employee Social Media Comments/Feedback And Stock Purchasing Decisions Enhanced By Sentiment Analysis, Drew Mikel Hall

Walden Dissertations and Doctoral Studies

The U.S. Securities and Exchange Commission (SEC) warns professional investors that sentiment analysis tools may lead to impulsive investment decision-making. This warning comes despite evidence showing that aided social sentiment investment decision tools can increase accurate investment decision-making by 18%. Using Fama's theory of efficient market hypothesis, the purpose of this quantitative correlational study was to examine whether customer Twitter comments and employee Glassdoor feedback sentiment predicted successful investing decisions measured by business stock prices. Two thousand records from 3 archival U.S. public NASDAQ 100 datasets from March 28, 2016, to June 15, 2016 (79 days) of 53 companies with …

0861: J. Q. Dickinson And Company Records, 1905-1996, Marshall University Special Collections

Guides to Manuscript Collections

This collection has been divided into three series: Time Logs and Material Production Records, Financial and Transactional Business Records, and Business and Personal Files. Time Logs and Material Production Records include time logs for workers, including tasks completed and rate of pay for both salt, natural gas, and chemical production, as well as production records and statistics for both natural gas and salt. Financial and Transactional Business Records include documents related to the sale of salt, chemicals, coal, and other materials or the purchase of materials by J. Q. Dickinson and Company. Business and Personal Files are divided by client …

Three Essays On Model Selection, Fangning Li

Legacy Theses & Dissertations (2009 - 2024)

In empirical research, we often need to address the issue of what model to use given a collection of candidate models. Conventionally, we use model selection to choose one best model from the collection of candidate models based on some model selection criteria. Model averaging is a generalization of model selection in the sense that it assigns weights to candidate models and uses a weighted average to construct an aggregated model. Usually model averaging provides better performance than model selection which chooses a single candidate model based on AIC or BIC.

The Economic Determinants Of American Professional Sports Franchise Valuations, Ryan Flora

Mahurin Honors College Capstone Experience/Thesis Projects

This thesis seeks to analyze the impact of regional identities on American professional sports team valuations. Regional identities are classified as any name of a team that is not tied directly to the city that they reside in. For example, the Carolina Panthers have a regional identity because they are not based out of “Carolina”, they are based out of Charlotte, North Carolina. Another example would be the Arizona Cardinals, whose name encompasses the whole state of Arizona rather than Phoenix, the city they are based out of. The leagues that will be involved in this study are the National …

Estimating Value-At-Risk Of An Unconventional Portfolio, Elizabeth N. Mejía-Ricart

Honors Theses

Since the 2008 financial crisis, interest rates and bond yields have been low all through the recovery and expansion that followed, and they are still low. As a result, more investors have been attracted to US equities, a space of possibly higher returns. However, these returns come with a potential downside: risk of loss. One of the methods to assess this potential downside is value-at-risk (VaR), which gained momentum in the late 1990s. At the time, the market risk amendment to the 1988 Basle Capital Accord required commercial banks with significant trading activities to put aside capital to cover market …

Internal Migration Of Foreign-Born In Us: Impacts Of Population Concentration And Risk Aversion, Thin Yee Mon Su

Honors Theses

Internal migration in the US has been declining since the 1990s and research has mostly focused on labor market dynamics and aging population to explain the migration trends. This paper analyzes migration patterns of foreign-born groups in the US from 2000 to 2019. Along with the migration determinants such as education and employment, the paper focuses on population concentration as a factor that shapes foreign-born decisions to relocate in the US. Population concertation is defined to be a measure of how geographically concentrated each foreign-born group is across the US. I find that the likelihood of migrating to another state …