Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Finance (20)
- Growth and Development (20)
- Business (17)
- Political Economy (17)
- Behavioral Economics (15)
-
- Labor Economics (15)
- Other Economics (15)
- Public Affairs, Public Policy and Public Administration (15)
- Economic Theory (14)
- Macroeconomics (13)
- Physical Sciences and Mathematics (13)
- Public Economics (13)
- International Economics (12)
- Statistics and Probability (12)
- Environmental Studies (9)
- Political Science (9)
- Arts and Humanities (7)
- Economic History (7)
- Policy Design, Analysis, and Evaluation (7)
- Sociology (7)
- Urban Studies (7)
- Applied Statistics (6)
- Finance and Financial Management (6)
- Public Policy (6)
- Regional Economics (6)
- Social Policy (6)
- Social Welfare (6)
- Keyword
-
- Economics (5)
- California (4)
- Econometrics (4)
- Baseball (3)
- Crime (3)
-
- Finance (3)
- India (3)
- Machine Learning (3)
- Volatility (3)
- Asia (2)
- Big data (2)
- COVID-19 (2)
- Cap-and-Trade (2)
- China (2)
- Data mining (2)
- Developing countries (2)
- Economic Growth (2)
- Education (2)
- Entrepreneurship (2)
- Experience (2)
- Football (2)
- Immigration (2)
- Income Inequality (2)
- Labor Economics (2)
- Los Angeles (2)
- Malawi (2)
- NFL (2)
- Oil (2)
- Poverty (2)
- Renewable Energy (2)
- Publication Year
- Publication
- Publication Type
Articles 31 - 60 of 111
Full-Text Articles in Econometrics
Guns And Fatal Police Shootings: Accuracy Of Firearm Prevalence Proxies In A Panel Data Analysis, Corin Elmore
Guns And Fatal Police Shootings: Accuracy Of Firearm Prevalence Proxies In A Panel Data Analysis, Corin Elmore
CMC Senior Theses
This paper explores the relationship between gun prevalence and fatal police shootings in the United States. Specifically, the study assesses the validity of using FSS (Firearm Suicides Per Total Suicides) as a proxy for gun prevalence. It examines whether FBI background check data can be a more reliable alternative. Through a panel data analysis, the study provides moderate evidence that FBI background check data performs better than FSS as a proxy for gun prevalence and that the relationship between firearm prevalence and fatal police shootings is positive. Additionally, the study finds that instrumenting FSS with background check data to account …
Metrics At 8,000 Meters: Determinants Of Summit Success In The Himalayas, Alyssa Gallagher
Metrics At 8,000 Meters: Determinants Of Summit Success In The Himalayas, Alyssa Gallagher
CMC Senior Theses
This paper examines the determinants of success for individuals summiting 8,000-meter Himalayan peaks from 1995 to 2019. Using binary logistic regressions, this paper presents evidence that a climber’s citizenship is a highly significant determinant of success. Chinese citizens are clear outliers with 192% more odds of success than an American. The success rates related to season, gender, and year all conform with existing research, justifying the robustness of the citizenship trends. Despite controlling for per capita income, the results assert that wealth may not be an important determinant of success and provokes interesting questions as to what factors may influence …
Impact Of Recessions And The Business Cycle On Altruism, Nicolas De Mello
Impact Of Recessions And The Business Cycle On Altruism, Nicolas De Mello
CMC Senior Theses
I examine how recessions and the business cycle impact the time individuals allocate to altruism, using American Time Use Survey data from 2002-2019. The aim of the paper was to create a measure of altruism to explore changes in attitudes towards charity and altruism instead of the financial ability to do so. Additionally, I want to understand how economic shocks, such as recessions, impact behaviors and habits across the US population. Using ordinary least squares and the Tobit model, I created two models to capture both changes during and after recessionary periods. The first model is a regression of individuals’ …
Renewable Portfolio Standards: Effectiveness And Carbon Implications, Alexander S. Albrecht
Renewable Portfolio Standards: Effectiveness And Carbon Implications, Alexander S. Albrecht
CMC Senior Theses
A renewable portfolio standard (RPS) policy is a popular regulatory tool implemented within the U.S. and abroad to limit energy sector emissions and incentivize renewable energy. Assessing their effectiveness and efficiency is a key component of achieving further reductions. We assess an energy market under an RPS using fixed-effects panel and 2SLS regression models to lend empirical credence to common theory-based concerns about RPS policy, namely (1) that they leave emissions unregulated once the RPS requirement is met and (2) that they do not incentivize full use of renewable energy resources. Our results show these to be valid concerns that …
The Paycheck Protection Program's Effect On Real Estate Prices, Someswar Amujala
The Paycheck Protection Program's Effect On Real Estate Prices, Someswar Amujala
CMC Senior Theses
This paper investigates the relationship between the Paycheck Protec- tion Program (PPP) and real estate price increases. The Paycheck Protection Program was established by the Small Business Association in 2020 to pro- vide forgivable loans to businesses to aid with potential losses from COVID- 19 impacts. I leverage zip code level data across the United States and a fixed effects panel data model to quantitatively measure the PPP’s influence on housing and rental prices. I find a positive and significant relationship between the number of PPP loans disbursed and housing and rental rates. Specifically, a 1% change in the number …
Impact Of Demand For H1b Visas In The Us On The Performance Of Listed Indian Firms, Jayaditya Shekhar Maliye
Impact Of Demand For H1b Visas In The Us On The Performance Of Listed Indian Firms, Jayaditya Shekhar Maliye
CMC Senior Theses
This thesis examines the relationship between Indian firm performance and the demand for H1B visas in the US. To test this relationship, a fixed effects model has been used on a panel dataset of 104 Indian firms listed on the Bombay Stock Exchange (BSE) and National Stock Exchange of India (NSE) over the period 2009 to 2021. The results show that an increase in H1B visa demand is negatively and significantly associated with Indian firm performance. These findings suggest that the US’s demand for high skilled labor overseas has consequences for firms in the home country.
Application Of Sentiment Analysis And Machine Learning Techniques To Predict Daily Cryptocurrency Price Returns, Edward Wu
CMC Senior Theses
This paper examines the effects of social media sentiment relating to Bitcoin on the daily price returns of Bitcoin and other popular cryptocurrencies by utilizing sentiment analysis and machine learning techniques to predict daily price returns. Many investors think that social media sentiment affects cryptocurrency prices. However, the results of this paper find that social media sentiment relating to Bitcoin does not add significant predictive value to forecasting daily price returns for each of the six cryptocurrencies used for analysis and that machine learning models that do not assume linearity between the current day price return and previous daily price …
Finding Answers In Gaps: The Relationship Between Drugs And Mexico's Economy, Mariela Centeno
Finding Answers In Gaps: The Relationship Between Drugs And Mexico's Economy, Mariela Centeno
CMC Senior Theses
This paper sets out to understand the economic conditions that paved the way for the evolution and resilience of a powerful and resilient drug economy in Mexico. To do this, I examine the relationship between a proxy for drug movement from Mexico and large economic variables in the country. I use a dataset that incorporates the drug seizures from 1997 to 2022 to understand whether privatization and the resulting rising economic inequalities in Mexico paved the way for a growing drug economy. This paper builds on current literature regarding drug market estimates and drug economy interactions. Using an OLS regression …
County Walkability And Small Business Receipts, Talia Perluss
County Walkability And Small Business Receipts, Talia Perluss
Scripps Senior Theses
This thesis explores the correlation between county walkability and small business receipts, as well as other possible demographic variables that could explain the success of small businesses, by using a fixed-effect panel regression model. Using county-level data in the years 2012 and 2017, this paper finds that there is a significant correlation between an increase in walkability and an increase in receipts. When running the fixed-effect regressions, this paper found that there is a moderately high positive correlation between walkability and per capita income, suggesting that the effects of an increase in walkability may also capture the effects of an …
Neither “Post-War” Nor Post-Pregnancy Paranoia: How America’S War On Drugs Continues To Perpetuate Disparate Incarceration Outcomes For Pregnant, Substance-Involved Offenders, Becca S. Zimmerman
Neither “Post-War” Nor Post-Pregnancy Paranoia: How America’S War On Drugs Continues To Perpetuate Disparate Incarceration Outcomes For Pregnant, Substance-Involved Offenders, Becca S. Zimmerman
Pitzer Senior Theses
This thesis investigates the unique interactions between pregnancy, substance involvement, and race as they relate to the War on Drugs and the hyper-incarceration of women. Using ordinary least square regression analyses and data from the Bureau of Justice Statistics’ 2016 Survey of Prison Inmates, I examine if (and how) pregnancy status, drug use, race, and their interactions influence two length of incarceration outcomes: sentence length and amount of time spent in jail between arrest and imprisonment. The results collectively indicate that pregnancy decreases length of incarceration outcomes for those offenders who are not substance-involved but not evenhandedly -- benefitting white …
Feature Investigation For Stock Returns Prediction Using Xgboost And Deep Learning Sentiment Classification, Seungho (Samuel) Lee
Feature Investigation For Stock Returns Prediction Using Xgboost And Deep Learning Sentiment Classification, Seungho (Samuel) Lee
CMC Senior Theses
This paper attempts to quantify predictive power of social media sentiment and financial data in stock prediction by utilizing a comprehensive set of stock-related fundamental and technical variables and social media sentiments. For conducting sentiment analysis, this study employs a pretrained finBERT model that provides three different sentiment classifications and respective softmax scores. Hence, the significance of these variables is evaluated with XGBoost regression and Shapley Additive exPlanations (SHAP) frameworks. Through investigating feature importance, this study finds that statistical properties of sentiment variables provide a stronger predictive power than a weighted sentiment score and that it is possible to quantify …
An Evaluation Of Knot Placement Strategies For Spline Regression, William Klein
An Evaluation Of Knot Placement Strategies For Spline Regression, William Klein
CMC Senior Theses
Regression splines have an established value for producing quality fit at a relatively low-degree polynomial. This paper explores the implications of adopting new methods for knot selection in tandem with established methodology from the current literature. Structural features of generated datasets, as well as residuals collected from sequential iterative models are used to augment the equidistant knot selection process. From analyzing a simulated dataset and an application onto the Racial Animus dataset, I find that a B-spline basis paired with equally-spaced knots remains the best choice when data are evenly distributed, even when structural features of a dataset are known …
Determinants Of Housing Supply Expansion In The Western United States, Nathaniel Tolles
Determinants Of Housing Supply Expansion In The Western United States, Nathaniel Tolles
CMC Senior Theses
New residential construction is an important indicator of economic health. Previous empirical work demonstrates the profound power of housing starts in forecasting recession. Theoretical research, backed by empirical study, suggests that home prices and interest rates are closely related to the amount of residential investment. This paper attempts to better understand the complex relationship between various factors that influence the supply and demand of new housing; what information do suppliers and regulators use to determine how many new units of housing will be constructed? Specifically, we will look at the respective state housing markets of California, Oregon, and Washington by …
Comovement And Instability In Cryptocurrency Markets, Pierangelo De Pace, Jayant Rao
Comovement And Instability In Cryptocurrency Markets, Pierangelo De Pace, Jayant Rao
Pomona Economics
We analyze the extent of comovement between daily price returns of nine major cryptocurrencies during the first three main phases of their development, from April 2013 to November 2018. We assess its evolution using bivariate and multivariate modelling approaches, and detect pronounced time variation. Generally, comovement is initially low and positive, but increases between early 2017 and late 2018. We then adopt a right-tail version of the Augmented Dickey-Fuller unit root test to identify periods of mildly explosive behavior (statistical instability) in the Network Value to Transactions (NVT) ratio (a measure of the dollar value of cryptocurrency transaction activity relative …
What Is The Effect Of Social Capital On Community Resiliency Against Social Decay?, James Dail
What Is The Effect Of Social Capital On Community Resiliency Against Social Decay?, James Dail
CMC Senior Theses
This thesis builds off of the work of Robert Putnam and Charles Murray by using a fixed effects regression model and a first difference regression model to see if there is a relationship between the number of community institutions within a county and that county’s resiliency against social decay. Historically, it has been difficult to determine if there is a causal relationship in either direction between these variables because they are endogenous. That is, the underlying factors that determine whether a county will have low levels of social capital also determine whether the same county will have high levels of …
Step Away From Stepwise, Gary N. Smith
Step Away From Stepwise, Gary N. Smith
Pomona Economics
Stepwise regression is a popular data-mining tool that uses statistical significance to select the explanatory variables to be used in a multiple-regression model. A fundamental problem with stepwise regression is that some real explanatory variables that have causal effects on the dependent variable may happen to not be statistically significant, while nuisance variables may be coincidentally significant. As a result, the model may fit the data well in-sample, but do poorly out-of-sample. Many Big-Data researchers believe that, the larger the number of possible explanatory variables, the more useful is stepwise regression for selecting explanatory variables. The reality is that stepwise …
The Paradox Of Big Data, Gary N. Smith
The Paradox Of Big Data, Gary N. Smith
Pomona Economics
Data-mining is often used to discover patterns in Big Data. It is tempting believe that because an unearthed pattern is unusual it must be meaningful, but patterns are inevitable in Big Data and usually meaningless. The paradox of Big Data is that data mining is most seductive when there are a large number of variables, but a large number of variables exacerbates the perils of data mining.
On Cluster Robust Models, José Bayoán Santiago Calderón
On Cluster Robust Models, José Bayoán Santiago Calderón
CGU Theses & Dissertations
Cluster robust models are a kind of statistical models that attempt to estimate parameters considering potential heterogeneity in treatment effects. Absent heterogeneity in treatment effects, the partial and average treatment effect are the same. When heterogeneity in treatment effects occurs, the average treatment effect is a function of the various partial treatment effects and the composition of the population of interest. The first chapter explores the performance of common estimators as a function of the presence of heterogeneity in treatment effects and other characteristics that may influence their performance for estimating average treatment effects. The second chapter examines various approaches …
M&A Performance: Market’S Initial Reaction As An Unbiased Indicator Of Post-Acquisition Performance, Nikolaos Papageorgiou
M&A Performance: Market’S Initial Reaction As An Unbiased Indicator Of Post-Acquisition Performance, Nikolaos Papageorgiou
CMC Senior Theses
This paper investigates the reliability of the stock market’s initial reaction to M&A announcements as a predictor of actual post-acquisition performance. The two prevailing methods for evaluating M&A performance are event studies (stock market-based measures) and accounting-based measures. The present study combines these two performance evaluation approaches in a single empirical examination. Both the post-merger buy-and-hold abnormal returns and changes in ROA are used as actual post-acquisition performance variables. The acquirer’s cumulative abnormal return (CAR) around the announcement is used as the market predictor variable. An econometric model is employed to test the predictive power of the announcement-period CAR on …
Can Uber And Lyft Save Public Transit?, Emily Zheng
Can Uber And Lyft Save Public Transit?, Emily Zheng
Pomona Senior Theses
I examine whether Uber and Lyft are currently complements or substitutes of public transit, and how partnerships between cities and ride sharing companies can increase their complementary relationship and solve parking and mobility issues. The results suggest that transportation network companies (TNCs) like Uber and Lyft do not have a statistically significant effect on public transit ridership overall, but are complements of public transit for certain populations. Policies that give discounts for TNC rides taken to and from transit stops help solve the first mile / last mile problem, which consequently help increase transit ridership.
The Impact Of Transportation Network Companies On Public Transit: A Case Study At The San Francisco International Airport, Lianne Renee Sturgeon
The Impact Of Transportation Network Companies On Public Transit: A Case Study At The San Francisco International Airport, Lianne Renee Sturgeon
Scripps Senior Theses
The emergence and rapid growth of Transportation Network Companies (TNCs), such as Uber and Lyft, has challenged the transportation industry by offering a new mode of transportation to consumers. It is imperative that transit agencies and cities understand the effect of TNCs on public transit usage to make informed decisions. This study analyzes the impact of TNCs on Bay Area Rapid Transit (BART) ridership at the San Francisco International Airport (SFO) to measure the effect of TNCs on public transit. Using a fixed effects model to analyze hourly BART and TNC ridership data from 2011 to 2018, these findings suggest …
Are Cds Auctions The Tail Wagging The Dog? An Empirical Study Of Corporate Bond Return Volatility At The Time Of Default, Jennifer Mace
Are Cds Auctions The Tail Wagging The Dog? An Empirical Study Of Corporate Bond Return Volatility At The Time Of Default, Jennifer Mace
CMC Senior Theses
Over the past decade, numerous engineered credit events and cases of market participants manipulating bond prices to influence Credit Default Swap (CDS) auction payouts have occurred. These cases have become increasingly common, and the CFTC has stated they may constitute market manipulation and undermine not only the CDS market but also the credit derivative and default markets. Although there is a plethora of news and media coverage on publicized cases, there is no previous empirical research on evidence of these practices. This paper is motivated by the desire to determine if there is indirect evidence of bond price manipulation around …
The Impacts Of Supra-Regional Multi-Resort Season Passes: A Hedonic Pricing Model Of Single-Day Lift Tickets For Us Ski Areas, Sijia Lai
CMC Senior Theses
Numerous media analyses claim that supra-regional multi-resort season passes (mega passes) are negatively impacting skiing, snowboarding, and winter-sport communities. In particular, media claims that ski areas on these season passes are charging higher single-day lift ticket prices to nudge people to buy their season pass products. To test this claim, I use a hedonic pricing model to estimate the impact of season passes on adult single-day lift ticket prices. By applying OLS regressions to a dataset of 302 US ski areas for the winter of 2018-19, I find that the ski areas on the leading season passes (Ikon and Epic …
First Movers In Marijuana: Tourism Boom Or Bust?, Henry Klyce Minervini
First Movers In Marijuana: Tourism Boom Or Bust?, Henry Klyce Minervini
CMC Senior Theses
In 2014, Colorado and Washington legalized the cultivation, sale, and consumption of recreational marijuana for anyone over the age of 21. In doing so, the two states presented the first opportunities for marijuana-specific tourism in the United States. Direct benefits of legalization to these first movers, namely tax revenues generated through the sale of marijuana, have been quantified, but the indirect benefits in the tourism sector are as of yet unquantified. Although there is a large body of informal literature and popular media on marijuana tourism, academic study of the subject is scant. Working with a panel composed of 47 …
The Impact Of Regional Return On Education On The Self-Selection Of Mexican Immigrants, Warren Chen
The Impact Of Regional Return On Education On The Self-Selection Of Mexican Immigrants, Warren Chen
CMC Senior Theses
This paper uses the 2010 Mexican Population and Housing Survey to examine the role of regional return to education on migrant selection. The study uses a standard linear regression model to predict the educational attainment of migrants and compares it to the educational attainment of non-migrants in each Mexican State. It finds evidence of negative selection, that less educated Mexican citizens are more likely to migrate to the United States. It also finds little evidence of the impact of regional return to education on migrant selection. The study offers potential explanations for the lack of impact and suggests avenues for …
The Principal Problem With Principal Components Regression, Heidi Margaret Artigue, Gary Smith
The Principal Problem With Principal Components Regression, Heidi Margaret Artigue, Gary Smith
Pomona Faculty Publications and Research
Principal components regression (PCR) reduces a large number of explanatory variables down to a small number of principal components. PCR is thought to be more useful, the more numerous the potential explanatory variables. The reality is that a large number of candidate explanatory variables does not make PCR more valuable; instead, it magnifies the failings of PCR.
Why Do Underrepresented Minorities Leave Science And Engineering?, Cindy Onyekwelu
Why Do Underrepresented Minorities Leave Science And Engineering?, Cindy Onyekwelu
Pitzer Senior Theses
This paper extends upon Jennifer Hunt’s research on “Why do women leave science and engineering?”, that contributes to existing literature that overlooks underrepresented minorities level of commitment to STEM fields based on their STEM educational backgrounds and additional contributing factors that relates to women engineer’s leaving their felid to another felid that does not have any relation to their STEM degree. The following independent factors are the respondents’ gender, reasons for leaving the felid of major, how much does their highest degree relate to their current principle/ primary job, parents’ level of education, current citizenship status, level of highest degrees …
The Effect Of Fast Food Restaurants On Type 2 Diabetes Rates, Grace Bailey
The Effect Of Fast Food Restaurants On Type 2 Diabetes Rates, Grace Bailey
CMC Senior Theses
This paper conducts an analysis of county level data to determine the effect of fast food restaurants on type 2 diabetes rates. Due to endogeneity concerns with respect to the location of fast food restaurants, this paper follows the work of Dunn (2010) and uses the number of interstate exits in a given county to serve as an instrument for fast food restaurants. The strength of the instrument, which is theoretically and empirically tested in this paper, imposes some restraints on the interpretation of the findings. Using the Two-Stage Least Squares estimation method, I find that the presence of fast …
Human Development And Subnationalism: A Disaggregated Analysis Of Indian States: Kerala And Uttar Pradesh, Manika Garg
Human Development And Subnationalism: A Disaggregated Analysis Of Indian States: Kerala And Uttar Pradesh, Manika Garg
CMC Senior Theses
This thesis investigates achievements in human development outcomes on health, education, and poverty indicators across Indian states, in order to discern what factors might influence a state’s better orientation toward social policies. After conducting data analysis, the study explains differences in outcomes, as achieved by Kerala and Uttar Pradesh, by building an argument of subnational solidarity and its impact on determining the state’s policy agendas.
Climate And Crime: Examining The Relationship Between Extreme Weather Events And Crime Rates In The United States, Erin Tully
CMC Senior Theses
This study attempts to determine whether there is a relationship between extreme weather events and crime rates. Due to the increasing effects of climate change, it is critical we understand the societal effects of extreme weather. Here, a panel data fixed effects regression was used to analyze state and year level data. It was hypothesized that there would be a relationship between crime and extreme events, but the results did not show a statistically significant relationship. Further research with increased geographic and temporal controls is encouraged.