Econometrics Commons^™

Impact Of Charging Infrastructure On Electric Vehicle Sales: An Analysis From Counties In 13 Us States, Shubh N. Parekh

Gettysburg Economic Review

Adoption of battery electric vehicles (BEVs), and plug-in hybrid electric vehicles (PHEVs), has become a priority for the government because of the constant threat of climate change. Over the years, government monetary incentives like tax credits, tax rebates, and other monetary subsidies are the leading way to increase electric vehicle sales in the United States. While these incentives are necessary to combat the high costs of electric vehicles (EVs), there hasn’t been too much attention given to combat range anxiety. Since EVs are run on lithium-ion batteries, there is a limited range for different EVs, with the maximum being around …

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.

Assessing The Impact Of Financial Obstacles On Manufacturing Firm's Capacity Utilization: Bayesian Approach, Arab Dahir Hassan, Razim Ozcan

The Indonesian Capital Market Review

This study aims to investigate the relationship between financial obstacles and the capacity utilization of manufacturing firms. This study departs from previous studies in the literature by employing Bayesian linear regression analysis. The results demonstrate that financial constraints have a considerable negative effect on the capacity utilization of manufacturing enterprises, but access to credit lines has a positive effect. The sample consists of 1,494 private manufacturing firms in 31 Europe & Central Asian countries. Financial obstacles were perceived as the major impediment to business operations by 65% of the enterprises in the survey. Furthermore, 52% of enterprises in the sample …

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 …

The Impact Of Subjective Risk Analysis On Real Estate Prices In The Nisqually Region Following The 2001 Nisqually Earthquake, Ryan Espedal

All Master's Theses

Earthquakes are an environmental hazard that pose great risks to communities almost every day. With earthquakes, the main cause of concern is physical destruction of property, however, there are also psychological effects that are researched and discussed much less. In 2001, the Nisqually area of western Washington experienced a substantial earthquake that produced minimal physical damage but caused a significant decrease in real estate prices. Studying single-family homes from 1986-2012, this research utilizes hedonic property models to measure the change in consumer’s subjective risk calculations with reference to real estate purchases after the Nisqually earthquake, measure the relationship between earthquake …

Three Essays On Health And Environmental Economics: Applications Of Spatial Econometrics And Spatial Analysis, Mohammed Syedul Islam

Graduate Theses, Dissertations, and Problem Reports (ETD)

Spatial interaction and the locational structure between observations play key roles in the field of econometrics for both cross-sectional and panel data analysis. Compared to a non-spatial econometric model, a spatial model relaxes the assumption of independency in observations. This research applies spatial and non-spatial econometrics in three different fields of applied economics: (1) drinking water and air quality violations impacts on lung and bronchus cancer incidence in the contiguous United States (U.S.); (2) spillover effects of non-pharmaceutical interventions (NPIs) on COVID-19 cases across the contiguous U.S. counties; and (3) urbanization impacts on carbon dioxide (CO₂) emissions in …

Impact Of Goods And Money Market Indicators On Stock Market Index In Nigeria, Adamu Hassan, Mika'‘Ilu Abubakar

Bullion

This study examines the influence of goods and money

market indicators on the performance of the Nigerian

stock market index from 1985 to 2021 using

Autoregressive Distributed Lag model. The findings

demonstrate that goods market indicators such as

domestic savings and government spending have a

strong positive effect on the performance of the stock

market index, but domestic investment has a negative

influence on the performance of the stock market index.

This is because majority of the investors in goods market

are financially excluded and have no access to formal

financial system. The results of the money market reveal

that …

Earnings Gap Between Urban And Rural Migrant Workers In Vietnam, Kristen Le

Honors Theses

This thesis studies whether there is an earnings disparity between urban and rural migrant workers in Vietnam’s urban areas and whether that earnings gap is due to individual characteristics and human capital levels or other unobserved factors. In this paper, urban workers, or urban residents, are workers who have household registration status in the urban cities where they work. On the other hand, rural migrant workers, or rural-to-urban migrants, are defined as workers who live and work in urban cities but have their registered household statuses in other rural areas. Using the Vietnam Household Living Standard Survey (VHLSS) in 2008, …

Chinese Yuan Interest Rate Swap Yields, Tanweer Akram, Khawaja Mamun

WCBT Faculty Publications

This paper models the dynamics of Chinese yuan–denominated long-term interest rate swap yields. It shows that the short-term interest rate exerts a decisive influence on the long-term swap yield after controlling for various macrofinancial variables, such as core inflation, the growth of industrial production, the percent change in the equity price index, and the percentage change in the Chinese yuan exchange rate. The autoregressive distributed lag approach is applied to model the dynamics of the long-term swap yield. The findings reinforce and extend John Maynard Keynes’s conjecture that in advanced countries, as well as emerging market economies such as China, …

An Empirical Analysis Of The Impact Of Covid-19 On Trade: Evidence From A Small Island African Economy, Z Khan Jaffur, V Tandrayen-Ragoobur, B Seetanah

Journal of African Trade

This study investigates the potential impacts of the COVID-19 pandemic and related containment measures on the trade system of Mauritius for the period January 2010 to June 2021. As the pandemic spread across the globe due to high interconnectedness across countries, authorities has also established stringent health containment measures in the form of restrictions on people and businesses to slow the propagation of the virus. Being a small island economy highly dependent on international trade, Mauritius also faced the brunt of the pandemic which disrupted its economic activities and trade flows with its main trading partners. COVID-19 incidence and lockdown …

Gambling On Growth: An Analysis Of The Early Impact Of Historical Horse Racing On Kentucky’S Thoroughbred Industry, Barrett W. Kerr

Theses and Dissertations--Agricultural Economics

With a continuous decline in on-track wagering on Thoroughbred racing, racetrack operators are exploring alternative revenue sources to fund purses and create better quality racing. Historical Horse Racing (HHR), which represents one of the most recent advancements in parimutuel wagering, has become a popular system used by many states to offset the live wagering decline. Proponents of HHR suggest that this alternative wagering option will benefit the live racing industry. Using data from Kentucky racetracks from 2002 – 2021, this study examines the relationship between HHR wagering and key industry metrics, such as purses, on-track wagering, sales prices, and foal …

Economic Freedom And One-Way Truck Rental Prices: An Empirical Note, Alexander Cardazzi, Robert A. Lawson

Economics Faculty Publications

This study examines the one-way truck rental prices for 378 cities. There are large price differentials in one-way rental prices between city pairs. The pull of people toward higher economic freedom locales and push away from lower economic freedom locales is found to be an important determinant of the city-pair price differentials.

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 …

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 …

Permutation-Based Tests For Discontinuities In Event Studies, Federico Bugni, Jia Li, Qiyuan Li

Research Collection School Of Economics

We propose using a permutation test to detect discontinuities in an underlying economic model at a cutoff point. Relative to the existing literature, we show that this test is well suited for event studies based on time-series data. The test statistic measures the distance between the empirical distribution functions of observed data in two local subsamples on the two sides of the cutoff. Critical values are computed via a standard permutation algorithm. Under a high-level condition that the observed data can be coupled by a collection of conditionally independent variables, we establish the asymptotic validity of the permutation test, allowing …

Can Digital Finance Promote Low-Carbon Transition? Evidence From China, Xing Ge, Tomoki Fujii

Research Collection School Of Economics

Using panel data of Chinese cities from 2011 to 2019, this paper analyzes the impact of digital finance on low-carbon transition derived from a super-efficiency slacks-based measure data envelopment analysis. We find that digital finance promotes low-carbon transition, and this finding is robust with respect to the choice of sample, potential presence of measurement issue, choice of study period, presence of other policies, and potential endogeneity, among others. This impact is at least in part goes through increased green innovations. We also find evidence for impact heterogeneity across locations and by the level of low-carbon transition.

Conditional Evaluation Of Predictive Models: The Cspa Command, Jia Li, Zhipeng Liao, Rogier Quaedvlieg, Wenyu Zhou

Research Collection School Of Economics

In this article, we introduce a new command, cspa, that implements the conditional superior predictive ability test developed in Li, Liao, and Quaedvlieg (2022, Review of Economic Studies 89: 843–875). With the conditional performance of predictive methods measured nonparametrically by the conditional expectation functions of their predictive losses, we test the null hypothesis that a benchmark model weakly outperforms a collection of competitors uniformly across the conditioning space. The proposed command can implement this test for both independent cross-sectional data and serially dependent time-series data. Confidence sets for the most superior model can be obtained by inverting the test, for …

A Mixture Autoregressive Model Based On Student’S T–Distribution, Mika Meitz, Daniel Preve, Pentti Saikkonen

Research Collection School Of Economics

A new mixture autoregressive model based on Student’s t–distribution is proposed. A key feature of our model is that the conditional t–distributions of the component models are based on autoregressions that have multivariate t–distributions as their (low-dimensional) stationary distributions. That autoregressions with such stationary distributions exist is not immediate. Our formulation implies that the conditional mean of each component model is a linear function of past observations and the conditional variance is also time-varying. Compared to previous mixture autoregressive models our model may therefore be useful in applications where the data exhibits rather strong conditional heteroskedasticity. Our formulation also has …

Bubble Testing Under Polynomial Trends, Xiaohu Wang, Jun Yu

Research Collection School Of Economics

This paper develops the asymptotic theory of the least squares estimator of the autoregressive (AR) coefficient in an AR(1) regression with intercept when data is generated from a polynomial trend model in different forms. It is shown that the commonly used right-tailed unit root tests tend to favor the explosive alternative. A new procedure, which implements the right-tailed unit root tests in an AR(2) regression, is proposed. It is shown that when the data generating process has a polynomial trend, the test statistics based on the new procedure cannot find evidence of explosiveness. Whereas, when the data generating process is …

Evaluating The Effect Of Nil Laws On College Athletic Department Revenue, Dylan C. Cherullo

Undergraduate Theses, Professional Papers, and Capstone Artifacts

This paper examines the impact of Name, Image, and Likeness (NIL) laws on revenue for public Division I universities' athletic departments, challenging the long-standing debate within the National Collegiate Athletics Association (NCAA). Utilizing panel data from the Knight Commission on College Athletics, which encompasses over 350 public Division I universities from 2002 to 2021, this study employs a difference-in-differences model. The model investigates state-level changes in university athletic department revenue from sponsorships (sponsrev), with special focus on the post-NIL law era. The analysis is bolstered by controls for various factors including ESPN’s FPI data, coach and equipment expenditures, and COVID-19 …

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

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

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

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

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

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

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 …

Time Allocation Pattern For Household And Expenditure Saving Market Activities By Using Economic Value Of Time: A Gender-Based Analysis In Pakistan, Hamna Nasir, Ambreen Fatima, Gulrukh Zahid

Business Review

The objective of this study is to estimate the opportunity cost of time spent on household work and expenditure saving market work performed by individuals by taking into account their personal and socio-demographic characteristics. Data is gathered from Labour Force Survey of Pakistan for different years. Pseudo panel technique is used by making cohorts of household and expenditure saving market activities, region and province. Increase in the opportunity cost of time increases female household work hours and expenditure saving market hours by 6.2 and 7.001 hours/week respectively, whereas increase in the opportunity cost of time increases male household hours and …

Essays On The Economics Of Law And Crime, Zachary J. Porreca

Graduate Theses, Dissertations, and Problem Reports (ETD)

The first chapter examines the connection between gentrification and urban violence. I demonstrate a positive and plausibly causal relationship between urban redevelopment and gun violence in Philadelphia. As the underlying mechanism, I focus on gentrification's displacement effect on local drug markets. Treating the city as a spatial network of city blocks and using two-way fixed effects differences-in-differences estimators, I show the gentrification of one block increases violence across the surrounding neighborhood. I find that some 2,400 (8%) of Philadelphia's shootings between the years 2011 and 2020 can be attributed to spillover effects from the gentrification of drug blocks. This effect …