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Social and Behavioral Sciences Commons™
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Articles 1 - 9 of 9
Full-Text Articles in Social and Behavioral Sciences
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 …
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 …
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.