Econometrics Commons^™

From The Ground To The Stars: How Research And Development In Aerospace Plays A Massive Role, Bryan Sohan

Honors College Theses

Aerospace technology is a long-standing field of innovation, yet it has experienced renewed momentum in recent years due to increased public and private investment. This study analyzes how changes in budget allocations to aerospace-related firms and government organizations influence the pace and scope of technological development within the aerospace sector. By examining historical trends in aerospace innovation alongside recent funding initiatives and policy decisions, this research evaluates the relationship between financial investment and technological advancement. This analysis focuses on Hypothesis 1 (H1): that higher aerospace R&D expenditure is positively correlated with innovation output. Using a two-period state-level panel (FY2021 and …

Quantifying Overconsumption In The United States: A Multiple Linear Regression Analysis, Morgan Davis

Honors Projects

This study examines overconsumption in the United States by analyzing how socioeconomic factors influence household spending relative to income. Overconsumption is defined as elevated discretionary spending relative to income, with a focus on categories such as apparel, entertainment, and food away from home. Using 2024 Consumer Expenditure Survey (CEX) data, three multiple linear regression models were created to evaluate predictors of overall consumption, discretionary consumption, and apparel spending as proportions of income.

Results show that income is the most significant predictor across all models, with higher-income households consistently spending a smaller share of their income. Age and household size also …

The Basics Of The Mundlak And Chamberlain Projections, Badi H. Baltagi, Tom Wansbeek

Center for Policy Research

One of the best-known results in panel data econometrics, due to Mundlak (1978), is the equality of the random-effects and fixed-effects estimators when the individual effects are correlated with the means over time of the regressors. Chamberlain (1980) showed that the same result holds when the individual effects are correlated with the regressors for all moments in time separately. In this chapter, we review basic elements of the Mundlak and Chamberlain projections. We emphasize the simplicity that is often obtained when the model is transformed into the within and between-model, following Arellano (1993). Topics that we discuss include the augmented …

Estimation Of Serially Correlated Error Components Models Using Whittle’S Approximate Maximum Likelihood Method, Badi H. Baltagi, Georges Bresson, Jean-Michel Etienne

Center for Policy Research

This chapter studies the estimation of error components models with serial correlation of the 𝐴𝑅𝑀𝐴(𝑝, 𝑞) type using Whittle’s (Whittle, 1953) approximate maximum likelihood method. This is done for the one-way and two-way error components panel data model. Monte Carlo simulations are performed that investigate the small sample performance of this method.

Econometric Analysis Of Social Interactions And Decision-Making, Shuo Qi

Economics Theses and Dissertations

This dissertation explores the econometric analysis of social interactions and decision-making. The first two chapters advance econometric methodology by addressing key challenges in identifying and estimating peer effects, specifically tackling issues related to partial network data and endogenous link formation. The third chapter presents an empirical analysis of parental over-aspiration and its impact on children's academic outcomes, using monotone instrumental variables constructed from social network structures.

Chapter 1 is "Identification and Estimation of Discrete Choice Models with Spillovers Using Partial Network Data". This paper investigates peer effects in discrete choice models with incomplete data on social links. We consider an …

Electric Commuter Rail Access In Residential Communities: A Hedonic Analysis Case Study Of Nonmarket Value Creation, Catherine A. Sunding

Scripps Senior Theses

This study quantifies the price impact on houses of a new electric commuter rail line outside of Denver, Colorado. I find a negative price impact corresponding to increased accessibility and proximity of homes to the rail stations due to the negative externalities associated with the track. I also discover an even larger negative price impact of the rail stations in the years before the stations opened to the public, indicating possible endogeneity in the location of the rail line. I attempt to account for this endogeneity using instrumental variable analysis due to a limitation of house pricing data before 2016.

Redefining The Relevant Market: Abandonment Or Return To Brown Shoe, Daniel A. Hanley

Dickinson Law Review (2017-Present)

Defining a relevant market is arguably the most important requirement in antitrust litigation. Between the 1890s and the 1940s, defining a relevant market was a simple and generalized process, typically undertaken by courts as a cursory matter. However, in the 1960s, defining relevant markets became a centerpiece of antitrust litigation. The modern method originates from the Supreme Court’s landmark 1962 decision in Brown Shoe v. United States. The method commonly known as the Brown Shoe test requires judges to construct relevant markets by carefully analyzing accessible and understandable qualitative data, such as internal corporate documents and consumer surveys. Since the …

Estimating The Effect Of Nuclear Energy On A Country's Electricity Generation Mix: Fukushima As A Case Study, Sarah Elizabeth Zarrilli

All Theses

In this paper, I attempt to estimate the true effects of removing nuclear energy on a country’s energy portfolio, particularly how the country substitutes to other fuel sources for electricity generation and how it impacts the country’s marginal electricity prices. In 2011, anti-nuclear sentiment that arose in Japan following the meltdown of the Fukushima prefecture’s nuclear power plant resulted in the country decreasing its nuclear electricity generation from over 30% of its total supply to 0% in under two years. I use the dramatic variation across Japan’s electricity supply regions over the denuclearization period to attempt to estimate the true …

Essays On Weak Identification, Dennis Guo Wei Lim

Dissertations and Theses Collection (Open Access)

This dissertation presents a comprehensive examination of inference techniques for weak instrumental variable (IV) models, crucial in addressing endogeneity and bias in econometric analyses. Comprising two interconnected chapters, the research explores innovative methodologies to enhance the reliability and robustness of IV regression estimations. Chapter 1 is concerned with maximizing the power of tests in the many weak IVs setting. This is done by introducing a novel approach that considers a linear combination of jackknife Anderson-Rubin (AR), jackknife Lagrangian multiplier (LM), and orthogonalized jackknife
LM tests for inference in IV regressions with many weak instruments and heteroskedasticity. Following I. Andrews (2016), …

Essays In Macroeconomics And Finance, Archil Dvalishvili

Dissertations, Theses, and Capstone Projects

Chapter 1: (A Quantitative Analysis of Interest on Reserves and Reserve Requirements) - I construct a medium scale DSGE model with financial frictions both on the demand (entrepreneurs) and supply (banks) sides of credit to study the costs and benefits of fixed/time-varying minimum reserve requirements and interest paid by the Fed on reserves.The results can be summarized as follows: (1) An optimal time-varying minimum reserve requirement generates substantial welfare gain when compared with a fixed minimum reserve requirement when no interest is paid on reserves. (2) Paying interest on reserves is substantially welfare inferior to a policy with no interest …

Multivariate Econometric Regression Of Factors That Determine Form Of Disposition Of Human Remains Using Archival Death Certificates, Salt Lake County, Utah, Delphine T. Feigenbaum

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

This project considers the inescapable and burgeoning issues concerning the long-term allocation of scarce natural resources between the living and the deceased. America’s population growth will demand more space and maintenance resources used for disposition. To meet the forthcoming exigencies, economic planners need to address natural resource availability for future generations while incorporating sustainable and innovative technologies to prohibit environmental injustice.

The goals are to answer the following questions: How do demographical variables, age and sex influence the choice of disposition? How do cause of death variables influence the choice of disposition? I also evaluate the hypothesis that the average …

A Forestry Trade Data Discrepancy Analysis, Morgan Alyce Daigle

LSU Master's Theses

Trade data across multiple databases experience unavailability across some countries/forestry products, inconsistency, and unreliability; and these qualities manifest as discrepancies in the data. Literature provides evidence of discrepancies and inconsistencies within international trade statistics, including documented cases in which they are present within agriculture sector trade.

While researchers have worked to pinpoint factors to explain discrepancies, studies on the forestry trade databases are not as prevalent. Therefore, more research needs to be conducted to identify discrepancies within forest sector products trade data to understand the nature of discrepancies found between different bilateral trading partners.

The goal of this thesis is …

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 …

Intergenerational Transmission Of Occupation In The United States, Swapnil Landge

Publications and Research

This paper explores the persistence of inequality via intergenerational transmission of occupations using the Panel Study of Income Dynamics (PSID) data from 1968 to 2001 of 56,952 unique parent-child pairs. I find that having a father who is in the top and bottom strata† of the socioeconomic professional category has a positive and significant effect on the probability that a son will follow the same professional category as the father, which supports my main hypothesis of persistence of income inequality concerning the transmission of the occupations. The main concern that has been addressed in this paper is that the intangible …

Essays On Machine Learning Methods In Economics, Mani Bayani

Dissertations, Theses, and Capstone Projects

This dissertation consists of three chapters on machine learning modeling in economics. Chapter 1 - Robust PCA Synthetic Control: In this chapter, I propose an algorithm for comparative studies called robust PCA synthetic control. My algorithm builds on the synthetic control model of Abadie et al., 2015 and the robust synthetic control model of Amjad et al., 2018. I apply all three methods (robust PCA synthetic control, synthetic control, and robust synthetic control) to answer the hypothetical question, what would have been the per capita GDP of West Germany if it had not reunified with East Germany in 1990? I …

How Federal Pollution Discharge Permits Affect U.S. Water Quality: A Study On Concentrated Animal Feeding Operations, Cloe C. Mueller

Theses and Dissertations

This paper uses difference-in-difference regression models to examine how state-level pollution discharge permits on concentrated animal feeding operations affect U.S. water quality. I ultimately deem the permitting to be ineffective at improving water quality, calling attention to the need to re-evaluate the ``socially optimal level of pollution."

Evaluating Short Term Effects Of Opportunity Zone Designation, Sarah M. Bennett

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

The Tax Cuts and Jobs Act of 2017 included a substantial economic development effort known as Opportunity Zones. These Zones cover 12% of the census tracts in the United States and are estimated to cost $1.6 billion in lost capital gains tax revenue. Our paper seeks to find whether this program has had an impact four years after going into effect, using an econometric analysis on changes in housing prices.

The Effect Of Female Representation On Revenue: A Study Of Gender Within The Film Industry, Riley Pranian

Honors College Theses

The art of film has captivated the world for generations — a central component of the captivation is the actors showcased on-screen. But unfortunately, the film industry is male-dominated. Since 1970, the consumption of media by adults and adolescents has increased (Vogel, 2020). This study will determine the relationship between a cast's female-to-male ratio and a film's revenue. The initial hypothesis is that the more women present in the cast, the higher the revenue - this relationship is assumed through increased demand for movies and the need for role models among women. This study’s foundation is the presence of a …

Violence And Development: The Cost Countries Pay For High Rates Of Homicide, Brittany Lowe

The Cardinal Edge

Violence is one of the largest and most persistent humanitarian crises across the globe. Understanding violence’s role in economic costs and losses is crucial to informing and guiding decision makers. This study uses international panel data to conduct a log-linear regression with time and country fixed effects. It focuses on studying the causal effects of violent crime on GDP at an aggregate, international level. The results find that the homicide rate has a statistically significant, negative effect on GDP per capita. Acts of violence come not just at a humanitarian cost, but also at the cost of economic progress and …

Sunk Or Dunk?: An Empirical Analysis Of The Effect Of Sunk Cost Fallacy In Professional Basketball, Hailey Dicicco

Business and Economics Presentations

This project is divided into two sections. The first section is a comparison between the NBA and WNBA, using performance metrics from game statistics. I researched the history of women in sports and specifically read about how women first became integrated into the game of soccer. In the regression for section one, we used a few selected performance metrics and minutes in order to observe any relationships between specific skills and minutes. We also focused on the difference between the leagues in terms of what game stats are more or less significant.

In the second section of this paper, we …

Cost Countries Pay For High Homicide Rates, Brittany Lowe

Grawemeyer Colloquium Papers

This research finds the economic cost, in terms of GDP per capita, to countries for increased violence using typical econometric models, and then makes recommendations to decision makers about funding allocation of violence prevention programs based off its findings.

The Effect Of Low Skill Job Opportunities On Postsecondary Enrollment, Mallory Radesic

Williams Honors College, Honors Research Projects

This research examines the effect that low skill job opportunities have on the probability of enrollment in postsecondary institutions between men and women, namely the construction and manufacturing industries. The research is based on the human capital investment theory, which states that individuals will enroll in postsecondary institutions when the perceived benefits outweigh the costs. More job opportunity heightens the opportunity cost of enrollment, hence lowering the probability of enrollment. After running a probit model, there is evidence that enrollment is countercyclical and that enrollment decisions do not vary significantly between men and women. I find that a 1 percent …

An Econometric Analysis Of Homelessness Risk-Factors, Zac Smith

Economics Undergraduate Honors Theses

This paper explores the issue of homelessness within the United States and seeks to create an econometric model that identifies predicting factors of homelessness at a state level which can be used to estimate the size of homeless populations. The author analyzed the role of 16 factors including income inequality, minimum wage, unemployment, rental cost, poverty, education, veteran status, and substance abuse on the 2017 state homeless populations. Using an ordinary least squares regression, the model produced five significant variables: adjusted minimum wage, percent of income spent on rent, possession of health insurance, average winter temperature, and the unemployment rate. …

The Analytics Of Vulnerable Populations In Brazil, Fernanda M. Araujo Maciel

2020

Conditional Cash Transfer (CCT) programs became a popular measure to alleviate poverty in Latin American countries. The Brazilian CCT program, called Bolsa Família, is the largest social welfare program in the country, covering a quarter of all Brazilian households. The objective of the program is to reduce poverty and malnutrition, while providing low-income families access to public services, such as health, education, and social assistance. Since the program is based on conditions of maintaining health and schooling for children, my dissertation comprises two studies that examine the impact of Bolsa Família on educational outcomes and unhealthy behaviors of its participants. …

Drug Policy: The Effect Of Medical Marijuana On Opioid Consumption During The Us Opioid Epidemic, Jonathon David Knudson

Graduate Student Theses, Dissertations, & Professional Papers

The introduction and subsequent over-prescribing of extended-release opioids in the United States resulted in a large rise in both addiction and overdose. Recognition and regulation of these new drugs as addictive did little to control the supply of opioids to Americans while Prescription Drug Monitoring Programs and Abuse Deterrent reformulations had limited effect to control the problem. Simultaneously, states like Michigan and Rhode Island legalized medical marijuana through voter referenda opening the door for a new approach to pain management. Recent research has found medical marijuana has proven an effective treatment for conditions such as chronic pain and PTSD and …

Essays On Applied Machine Learning For Implied Volatility Interpolation And Artificial Counterfactuals, Pablo A. Crespo

Dissertations, Theses, and Capstone Projects

This dissertation consists of two chapters.

Chapter 1: Volatility estimates under the risk neutral density have become a much revisited topic of interest in recent years. The density proves itself a powerful tool for sentiment analysis, since its moments provide insights about expectations in price trends. A standard procedure for its extraction utilizes artificial volatility predictions to form a dense enough grid for approximating a complete probability distribution. This paper proposes two common machine learning technique variations to produce implied volatility predictions when data is very scarce. First, a model using regularization through a variation of a generalized LASSO path …

A Statistical Analysis Of Economic Perceptions In The 2015 United Kingdom General Election, Amarvir Singh-Bal Mr.

Undergraduate Economic Review

This paper characterises the vote which took place in the United Kingdom's (U.K.) 2015 General Election as an ‘accountability instrument.’ In doing so, the research interrogates which sections of the electorate hold the incumbent government more accountable for economic outcomes between the 2010 and 2015 U.K. General Elections. The Rational Choice Theory and the Michigan Model are used in this study to present two interlinked, and yet distinct, hypotheses – that less politically informed and non-partisan voters are more likely to hold the government accountable for economic performances; compared to the politically informed and partisan voters within the electorate. Implementing …

The Effect Of Birth Order On Behavior On Behavior And Academic Performance, Maria Long

Mahurin Honors College Capstone Experience/Thesis Projects

This paper studies the effect of birth order on a child’s math and reading comprehension aptitudes and likelihood of behavior problems. Numerous studies have been performed on this topic and the conclusions have varied. In this paper, I control for gender, race, number of siblings, mother’s age at birth, mother’s marital status at birth of child, and how often children argue with their parents about homework. I find evidence to suggest that first-born children will have significantly higher academic performance outcomes, last-born children will have significantly lower behavior issues, and the environment in which a child is raised will have …

Investigating The Change In The Out-Of-Pocket Cost Of Insulin Over Time, Jared Long

Mahurin Honors College Capstone Experience/Thesis Projects

Insulin is often cited as a classic near perfectly inelastic good; for those living with Type-1 diabetes, antihyperglycemic medicines are the only thing standing between them and possible death, and they must be willing to pay for the medication regardless of the price. When researchers at the University of Toronto released the patent for insulin in 1922, they asked for only $1 so that the medication would be available to as many people as possible; however, as insulin analogs and new biosimilar substitutes have been invented, the price of medications has increased substantially. While the rising cost of insulin has …

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 …