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Articles 1 - 30 of 89
Full-Text Articles in Social and Behavioral Sciences
Divided By Design? Urban Renewal’S Differential Impacts On Economic Outcomes By Race, Derik Suria
Divided By Design? Urban Renewal’S Differential Impacts On Economic Outcomes By Race, Derik Suria
CMC Senior Theses
I study city-level effects of the federally and state-sponsored urban renewal program that aimed to improve living conditions for residents in blighted areas and slums. I use an interdisciplinary approach to estimate urban renewal effects on measures of income, property value, poverty, and employment. I first replicate the methodology and estimates of urban renewal effects on city outcomes in 1980 from Slum Clearance and Urban Renewal in the United States (Collins and Shester 2013). I extend this research by looking at a longer time horizon (1990, 2000, 2010) and incorporating race-based outcomes. From 1980 to 2010, estimated effects on property …
Electric Vehicles: Exploring The Granularity In California Zip Codes, Hans Melvern Kasim
Electric Vehicles: Exploring The Granularity In California Zip Codes, Hans Melvern Kasim
CMC Senior Theses
This paper studies a number of factors that affect electric vehicle (EV) sales in California. In comparison to previous papers, this paper examines EV sales at a higher granularity by using zip code level data. My model utilizes a panel fixed effect to examine factors like income, energy prices, commute time, number of chargers and tax rebates. The results show that the number of chargers (specifically DC fast), commute time, and tax rebates have the greatest statistically significant effects on EV sales in California. Furthermore, I utilize an empirical specification - a conditional logit model accounting for zip code fixed …
Driven By Change: The Impact Of Macroeconomic Shifts And Covid-19 On New Vehicle Sales, Jackson Aldrich
Driven By Change: The Impact Of Macroeconomic Shifts And Covid-19 On New Vehicle Sales, Jackson Aldrich
CMC Senior Theses
This paper examines the impact of macroeconomic factors and the COVID-19 pandemic on new vehicle sales. In order to address these two topics, a two-pronged approach was used with separate regression models. The macroeconomic variables include monthly supply of new homes, CPI for urban public transportation, unemployment rate, disposable personal income, inflation expectation, consumer sentiment, average gas prices, and total vehicle miles traveled which were regressed on total vehicle sales from 1978-2022. The regression results confirmed and supported current literature and highlighted the importance of the housing market and unemployment rate on new vehicle sales. The COVID-19 pandemic model variables …
Determinants And Effects Of Offset Usage Within The California Cap-And-Trade System – A Firm-Level Analysis, Adarsh Srinivasan
Determinants And Effects Of Offset Usage Within The California Cap-And-Trade System – A Firm-Level Analysis, Adarsh Srinivasan
CMC Senior Theses
This thesis examines the determinants of the usage of carbon offsets within the California cap-and-trade program for greenhouse gas emissions. It also investigates the relationship between a firm’s investment in offsets and its financials for publicly traded companies. Entity-level data from 2013 to 2020 was used, which was sourced from the California Air Resources Board. Multiple regression analysis was used to investigate factors that correlated with offset usage and whether offset usage correlated with EBITDA. Dummy variables indicating geographic location and economic sector of each entity were used as controls. The analysis found that total covered emissions and privately owned …
Effects Of The Homegrown Player Rule In The English Premier League: A Comprehensive Analysis Of Squad Composition, Market Values, And Wages, Jiho "Brian" Jun
Effects Of The Homegrown Player Rule In The English Premier League: A Comprehensive Analysis Of Squad Composition, Market Values, And Wages, Jiho "Brian" Jun
Pitzer Senior Theses
This paper uses theoretical frameworks from economics and sports management to investigate the transformative effects of the Homegrown Player Rule on English Premier League squad dynamics, market valuations, and wage structures. The study examines the evolution of homegrown player distribution across clubs from the rule’s implementation in 2010 to the most recent season in 2023. My analysis of market values and wages finds no evidence that the rule leads to possible market value and wage rate disparities between homegrown and non-homegrown players. Subsequent research shows evidence of a decrease in the real wage rate of homegrown players over time, contrasting …
An Investigation On Wage Penalties: The Effect Of Foreign-Born Status On Employee Wages, Salaries, And Incomes In The United States And Canada, Lucy C. Dustman
An Investigation On Wage Penalties: The Effect Of Foreign-Born Status On Employee Wages, Salaries, And Incomes In The United States And Canada, Lucy C. Dustman
Scripps Senior Theses
This paper investigates whether there is a wage penalty that negatively affects foreign-born employees in the United States and Canada, addressing the following two questions: (1) Does being a foreign-born employee result in a wage penalty in the United States and Canada? And if so, (2) How does this penalty differ across the two countries over time? With data collected from the Integrated Public Use Microdata Series (IPUMs), four separate multiple linear regression models are estimated to compare the presence of wage penalties across various industries and occupations. These analyses cover the following comparisons: the United States in 1990 and …
Conspicuous Wellness: How Acquired Identities Affect Conspicuous Consumption, Katherine S. Eu
Conspicuous Wellness: How Acquired Identities Affect Conspicuous Consumption, Katherine S. Eu
Scripps Senior Theses
This research provides evidence that individuals will conspicuously consume based on their acquired identities, which parallels similar conclusions drawn for conspicuous consumption based on ascribed identities. Using data from 653 respondents, I found positive marginal effects of the “that girl” wellness identity on product choices, accounting for an individual’s potential higher willingness-to-pay, demographics, and speed of making product choices. I conclude that the more an individual associates themselves with an identity, the higher the likelihood of choosing products which align and signal membership in an identity subculture.
Esg Scores As A Measure Of Risk: The Relationship Between Environmental, Social, And Corporate Governance Ratings And The Financial Performance Of U.S. Oil And Gas Companies, Lauren Kim
Scripps Senior Theses
This study investigates the association between ESG (environmental, social, corporate governance) scores on the financial performance of U.S. oil and gas companies, an industry facing significant ESG-related pressures. ESG scores evaluate a firm’s environmental impacts, social responsibility, and corporate governance practices and can be used as a form of evaluating a firm’s risk mitigation efforts. However, there is not sufficient evidence to conclude that there exists a relationship, positive or negative, between ESG scores and firm performance in this industry. Overall, the findings of this study highlight the growing interest in ESG investing and is useful for investors and firms …
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 …
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 …
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.
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 …
An Analysis On How Housing Status Influences The Gut-Brain-Axis For Populations In And Around The Skid Row Area Of Los Angeles, California, Mauricio Guzman
An Analysis On How Housing Status Influences The Gut-Brain-Axis For Populations In And Around The Skid Row Area Of Los Angeles, California, Mauricio Guzman
Pitzer Senior Theses
Over recent years, the “microbiota-gut-brain axis” (MGBA) has garnered significant attention in the scientific community. Specifically, perturbations of the MGBA via stress and dietary intake have been linked to a wide-range of diseases including gastrointestinal diseases, metabolic diseases, mood disorders, and cognitive diseases. However, most studies have been solely conducted on mice models and have yet to consider the more complex, intricate systems that impact the human body. In addition, researchers have yet to consider the populations who may be most susceptible to chronic stress and negative dietary outcomes. Drawing from the fields of medical sociology, non-invasive human biology, and …
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 …
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 …
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 …
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 …
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 …
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 …
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.
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 …
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 …
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 …
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 …