Econometrics Commons^™

Clutch Or Comfortable? How Franchise Tags Influence Qb Performance In The Nfl, Justin Edwards

CMC Senior Theses

Abstract

The National Football League (NFL) has a type of contract known as the Franchise Tag. The Franchise Tag is a one-year contractual extension often used when a player and a team cannot come to terms regarding the details of a contract extension. Usually, the player expects to be paid more than the organization can afford that year due to restrictions imposed by the salary cap. Because of this, Franchise-Tagged players tend to have a greater incentive to perform well in hopes of being signed into a long-term contract. My findings show that the incentive of future earnings and job …

Do Public School Choice Policies Segregate Schools? Dynamic Effects In Michigan, Danielle Sanderson Edwards, Kaitlin P. Anderson

Educational Leadership & Workforce Development Faculty Publications

Interdistrict choice has the potential to exacerbate or alleviate between-district segregation-an increasingly pervasive form of U.S. school segregation-by allowing students to attend schools in districts where they do not reside. Prior research concentrates on the effects of charter schooling on segregation within districts and counties. We used longitudinal enrollment and demographic data from Michigan to examine the impacts of both interdistrict and charter school choice on racial and economic segregation within and between districts in a single setting. We estimated these effects by leveraging between-grade differences in choice use within school systems and years. We confirmed findings from previous research …

Total Factor Productivity Industri Mikro Dan Kecil Di Kawasan Timur Indonesia, Marella Dea Manganti, Budyanra Budyanra

Jurnal Ekonomi dan Pembangunan Indonesia

The Micro and Small Industries (MSIs) sector, part of non-oil and gas processing industry, is a key driver of the Indonesia’s economy. However, in Eastern Indonesia (EI), the number of industries and workers in the MSIs sector does not match the level of output, unlike in Western Indonesia, where the industry is more stable and aligned. This difference is mainly due to variations in technological progress, known as Total Factor Productivity (TFP). This study analyzes TFP in the MSIs sector across provinces in EI from 2013 to 2022 using panel data regression. Results show that South Sulawesi has the highest …

Assessing High-Speed Rail (Hsr) Policy And Politics In Washington State: Avoiding The Mistakes Of The Past, Landen K. Hashimura

All Master's Theses

While international standard high-speed rail (HSR) has yet to be successfully completed in the US, there is a national interest in the topic, as evidenced by recent federal initiatives to research HSR across various corridors. The Cascadia Corridor has been identified as a region with high potential for HSR, leading to an ongoing study in the State of Washington. Given the tumultuous history of American HSR development, the Cascadia HSR initiative needs to avoid the mistakes of the past. Two major contributing factors to this failure to build HSR are uneven political support for HSR and poor policy frameworks. Despite …

Three Essays On Sustainability Economics, Hélène Flore Nguemgaing

Graduate Theses, Dissertations, and Problem Reports (ETD)

As global economies face increasing resource dependencies and supply chain challenges, it becomes essential to understand the vulnerabilities that threaten economic stability. This dissertation investigates three empirical issues in agribusiness and critical minerals using econometric models to estimate the following: 1) the impact of supply chain disruptions on stock market returns during COVID-19; 2) the extraction of rare earth elements from acid mine drainage treatment by investigating the impacts of ownership and legislation in West Virginia and Pennsylvania; 3) China-to�FOBb (Free-on-Board) price transmission in rare earth elements markets: a copula-based dynamic tail dependence analysis.

The first essay evaluates how events …

Maximum Trimmed Likelihood Estimation For Discrete Multivariate Vasicek Processes, Thomas M. Fullerton Jr., Michael Pokojovy, Andrews T. Anum, Ebenezer Nkum

Mathematics & Statistics Faculty Publications

The multivariate Vasicek model is commonly used to capture mean-reverting dynamics typical for short rates, asset price stochastic log-volatilities, etc. Reparametrizing the discretized problem as a VAR(1) model, the parameters are oftentimes estimated using the multivariate least squares (MLS) method, which can be susceptible to outliers. To account for potential model violations, a maximum trimmed likelihood estimation (MTLE) approach is utilized to derive a system of nonlinear estimating equations, and an iterative procedure is developed to solve the latter. In addition to robustness, our new technique allows for reliable recovery of the long-term mean, unlike existing methodologies. A set of …

Analyzing Real-Time Behavioral Shifts In Response To Tourism Policy Using Google Trends Data And Advanced Difference-In-Differences (Did) Methods, Aaron Bradley Scott

Doctor of Business Administration Dissertations

Google Trends is a publicly available aggregate search data portal that allows researchers to capture and review search interests. This dissertation analyzes real-time behavioral shifts resulting from tourism policy changes in Venice, Italy using Google Trends data. This work contributes to the current literature in DiD modeling, by using information-seeking behavior that is ahead of observable, lagged, outcomes. Through the integration of recent DiD advancements, this work further extends DiD applications in tourism econometrics, and a case-example of real-world tourism policy assessment. This dissertation highlights changes in search behavior immediately following policy implementation. Additionally, this work highlights Google Trends as …

The Effect Of Regime Type On Development Outcomes In Bangladesh, Simar Malhotra

Scripps Senior Theses

Bangladesh has been characterized by a turbulent political state since gaining its independence in 1971, moving back and forth between a democracy and autocracy. With this, they have also experienced immense gains in development over the last thirty years, especially within health, education, and female empowerment. This thesis exploits Bangladesh’s unique regime-switching setting to measure the impact of a shift from autocracy to democracy on child health, maternal health, and women’s autonomy within a single-country context. Using data from the Demographic and Health Surveys (DHS) Program, the analysis finds that a shift from an autocracy to a democracy increases the …

Redesigning Home Reversion Products To Empower Retirement For Singapore's Public Flat Owners, Koon Shing Kwong, Jing Rong Goh, Jordan Jie Xin Lee, Ting Lin Collin Chua

Research Collection School Of Economics

This paper introduces an innovative sell-type home reversion product aimed at monetizing Singapore’s public flats, serving as a new alternative to the existing Singapore Lease Buyback Scheme (LBS). This new product not only retains the LBS’s guaranteed period of residence in the property along with life annuity incomes but also enhances the product features to meet specific homeowner needs, including the ability to age in place, flexibility in retaining part of the property, options for bequests, and guaranteed principal return. By incorporating these additional features, the new product seeks to stimulate greater demand for monetizing public flats among asset-rich but …

Gauging Growth Risk In An International Financial Centre: Some Evidence From Singapore, Hwee Kwan Chow

Research Collection School Of Economics

This paper applies the growth-at-risk framework proposed by Adrian et al. (2019) to Singapore, an international financial centre whereby financial shocks are intermediated away quickly. We gauge near-term risks around growth projections taken from the survey of professional forecasters by accounting for financial stress in both local and global financial markets, as well as worldwide economic uncertainty. The conditioning variables are first linked to future growth through quantile regressions, and the estimated quantiles are fitted with skew t-distributions to produce full predictive distributions. Scenario analysis reveals that greater local financial strain tends to widen the uncertainty of growth outlook, higher …

Modeling Inflation Expectations In Forward-Looking Interest Rate And Money Growth Rules, Zhengyang Chen, Victor J. Valcarcel

Faculty Publications

We propose a novel approach that directly embeds rational expectations (RE) into a low-dimensional structural vector autoregression (SVAR) without the need for any mapping to a dynamic stochastic general equilibrium (DSGE) model. Beginning from a fully specified “consensus” structural model, we establish an instrumental variable procedure internal to the SVAR to obtain RE-consistent structural responses to identified monetary policy shocks. Our RE-SVAR framework facilitates a comparison across two alternative monetary policy indicators that accommodate long horizons in the formation of inflation expectations in the policy rule. We construct clouds of responses of inflation and economic activity to monetary …

Essays On Robust Inference Under Multiway Clustering, Jiahao Lin

Electronic Theses & Dissertations (2024 - present)

The first chapter studies wild bootstrap-based inference for regression models with multiway clustering. Our proposed methods are multiway counterparts to the (one-way) wild cluster bootstrap approach introduced by Cameron et al. (2008). We establish the validity of our methods for studentized statistics. Theoretical results are provided, accommodating arbitrary serial dependence in the common time effects – an aspect excluded by existing two-way bootstrap-based approaches. Simulation experiments document the potential for enhanced inference with our novel approaches. We illustrate the effectiveness of the methods by revisiting an empirical study involving multiway clustered and serially correlated data.

The second chapter studies jackknife …

Essays On Health Economics, Yiran Han

Electronic Theses & Dissertations (2024 - present)

The first chapter examines relationships between physicians exposed to new drugs’ clinical trials and prescribing. Clinical trials benefit patients directly by providing novel treatments, but little is known about the indirect effects of clinical trials on physician prescribing through localized knowledge spillover. This study examines whether exposure to a clinical trial of a new drug in a physician’s local geographic area affects the physician’s propensity to prescribe the drug, i.e. a localized knowledge spillover from clinical trial sites to physician. Utilizing the Medicare Part D prescribing patterns of more than 10,000 physicians across 29 new cancer drugs approved by the …

Three Essays On The Socioeconomics Of Drinking Water Pfas Contamination, Nabin Babu Khanal

Graduate Theses, Dissertations, and Problem Reports (ETD)

Per- and polyfluoroalkyl substances (PFAS) are a group of over 15,000 synthetic compounds widely used for their resistance to heat, stains, grease, and water. While central to many modern conveniences, ingestion of PFAS is increasingly linked to adverse human health outcomes and are now detected globally in drinking water systems. This dissertation investigates three interrelated aspects of PFAS contamination in U.S. drinking water: (1) socioeconomic determinants and spatial patterns of contamination; (2) the economic impacts of contamination on residential property values; and (3) the effect of inconsistent PFAS regulations on public trust in environmental governance.

Using data from the U.S. …

External Financing, Governance, And Infrastructure Development: Evidence From Sub-Saharan Africa, Afees Oluwashina Noah, Oladipo Olalekan David

CSID Journal of Infrastructure Development

Infrastructure development in Sub-Saharan Africa (SSA) requires diversified financing strategies to address a significant funding shortfall that cannot be met by domestic resources alone. This research evaluates the contributions of external financing—namely Official Development Assistance (ODA), Foreign Direct Investment (FDI), and Private Participation in Infrastructure (PPI)—in complementing domestic efforts to advance infrastructure in SSA. It examines their influence, alongside governance, on the development of physical and social infrastructure components. Employing methodologies such as Panel-Corrected Standard Errors (PCSE) and System Generalized Method of Moments (SGMM) across 43 SSA economies from 2000 to 2022, the analysis reveals that FDI substantially enhances physical …

Relocation Incentives In Alaska; Or, The Call Of The Wild And Transfer Payments, Nathan Miller

The Journal of Purdue Undergraduate Research

No abstract provided.

Forecasting Crime Rates Utilizing Machine Learning And Economic Indicators, Owen Miller

Honors Projects

Abstract: The following project utilized the correlation between economic indicators and crime rates to build tree-based machine learning algorithms that predict monthly crime rates in Ohio. The goal of the study was to answer how economic variables could be used in forecasting county level crime rates. A sample of 9 counties were utilized in building regression trees, random forests and evolutionary random forest models. The study concluded that lagged crime rates provided the best predictive ability in forecasting models, while economic variables provided more accuracy to property crime. The study could be furthered by creating models at the department level …

The Impact Of Technological Change On Achieving Sustainable Development: Panel Data Analysis On Emerging Countries (2004-2024), Mayar Walid Al, Ahmed Tarek Ta

Future Journal of Social Science

This study examines the impact of technological change on sustainable development in five emerging economies—Egypt, China, Brazil, India, and Turkey—over the period from 2004 to 2024 (World Bank, 2020; ITU, 2022). It seeks to understand how advancements in information and communication technologies, renewable energy, and manufacturing processes shape economic, social, and environmental sustainability (Geels et al., 2017; UNEP, 2021). Using panel data analysis, the research quantifies the relationship between technological indicators, such as ICT penetration and renewable energy adoption, and sustainable development outcomes, including GDP growth, environmental health, and social inclusion (Sadorsky, 2010; Shahbaz et al., 2016).

The findings reveal …

Striking A Balance: Market Shock & Responses In Automotive Components Manufacturing, Emma Lane Mcgahey

All Theses

This thesis examines the effects of extreme market shocks on supply chain dynamics within the automotive industry. Through an analysis of demand data from an automotive manufacturer to its component suppliers (January 2018 to May 2024), the study investigates the relationship between market shocks and supply chain responses, providing insights into how auto components inventory management handles downstream responses to market shocks. With supporting public data—from FRED, BLS, and the U.S. Census Bureau resources—we explore two primary relationships: the impact of market shocks on the Average Standard Deviation of Demand (SDO) and the effect of demand variability on expedited pricing …

Estimating The Effect Of Residential Sales Prices On Building Permits, Emilio Becerra

All Theses

This paper addresses home sales prices’ impact on residential building permit authorization in South Carolina’s Greenville and Richland counties amid the COVID-19 pandemic. The estimation uses a comprehensive data set of the housing markets in both counties for 2016 to 2022, incorporating 88,098 home sales. The analysis exploits the variation in sales prices of homes to analyze the sensitivity in the supply of permits to builders through an instrumental variables approach. Using two instruments, violent crimes and household income, the effect of sales prices on the supply of building permits is positive and statistically significant. Included in the first-stage regression …