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 …

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. …

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 …

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 …

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 …

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 …

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 …

Financial Risk In A Changing Climate, Mashuk S. Rahman

LSU New Orleans Theses and Dissertations

Essay 1:

Given the missing-not-at-random (MNAR) nature of carbon emissions figures under the voluntary disclosure regulator environment, this research imputes synthetic emissions figures for both disclosing and non-disclosing publicly traded US firms, using an IV approach adapted for sample bias correction. The forward-observing implied cost of equity capital measure is consistently higher for carbon-intensive firms regardless of disclosure decision. This higher cost found in the large swath of high-emitting firms reduces the net present value of green transition investments, thus fueling existing research on the counterproductive natures of capital allocation in efforts to reduce corporate pollution. Contrary to emerging research, …

Estimating The Impacts Of Utah's Down Payment Assistance Program (Sb240): A Framework For Analyzing State And Regional Dpa Policies, Dylan Fallentine

All Graduate Reports and Creative Projects, Fall 2023 to Present

I examine the impact of Utah's Senate Bill 240, a targeted down payment assistance program for new homes priced under $450,000, on housing affordability and developer behavior. Using Synthetic Difference-in-Differences, Bayesian Structural Time-Series, Fixed Effects Difference-in-Differences, and Event Study Analysis, I assess whether SB240 influenced the construction of more affordable homes and led to reduced lot sizes, thereby fueling affordability.

My empirical analysis reveals that SB240 significantly reduced the transaction price of entry-level new homes in Utah, with an estimated average reduction of approximately $23,000. This effect is robust across various econometric models and data pools, indicating that the policy …

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 …

How To Discipline Financial Markets: Reputation Is Not Enough, Maria Bigoni, Gabriele Camera, Marco Casari

ESI Working Papers

Historically, shocks originating in the financial sector often spilled over into the real sector with dramatic consequences. We study in the lab how interventions targeting disclosure and capital requirements of financial intermediaries can reduce insolvencies or prevent their negative effects from propagating to the broader economy. In our two-sector economy, consumers and producers can fund financial intermediaries, who, in turn, provide them with liquidity to settle trades. However, intermediaries may undertake risky investments and become insolvent, which depresses real economic activity. In the experiment, insolvencies were frequent. As a consequence, consumers and producers often refused to fund intermediaries, which lowered …

How Can Monetary Policy And Digitalization Enhance Economic Productivity Among Oic Members?, Basri Basri, Muhammad Akbar Ramadhani

Journal Of Middle East and Islamic Studies

Studi ini bertujuan untuk menentukan dampak suku bunga, jumlah uang beredar, dan pengembangan TIK terhadap PDB per kapita dengan menggunakan pendekatan panel heterogen dinamis (panel ARDL) pooled mean group (PMG). Temuan kami menunjukkan bahwa kebijakan moneter memainkan peran penting bagi pendapatan per kapita di seluruh negara OKI pada tingkat pendapatan yang berbeda. Bagi OKI secara keseluruhan, suku bunga memiliki dampak positif dalam jangka panjang tetapi tidak berpengaruh dalam jangka pendek. Bagi sebagian besar LMIC dan UMIC, kenaikan suku bunga cenderung meningkatkan pendapatan per kapita, sedangkan bagi sebagian besar negara LIC, hubungannya negatif. Jumlah uang beredar memiliki dampak negatif terhadap pendapatan …

Optimal Har Inference, Liyu Dou

Research Collection School Of Economics

This paper addresses the problem of deriving heteroskedasticity and autocorrelation robust (HAR) inference for a scalar parameter of interest, under the assumption of a known upper bound on data persistence. Finite-sample optimal tests are derived within the Gaussian location model, revealing that robustness-efficiency tradeoffs are primarily determined by the maximal persistence. With a suitable adjustment to the critical value, the equal-weighted cosine (EWC) test emerges as nearly optimal, wherein the long-run variance is estimated through projections onto q type II cosines. This approach establishes a direct link between the choice of q and persistence assumptions, accompanied by adjustments to the …

Pengaruh Larangan Ekspor Karang Hias Terhadap Kondisi Terumbu Karang Di Indonesia, Fitrian Dwi Cahyo, Muhammad Halley Yudhistira

Jurnal Kebijakan Ekonomi

Indonesia has the largest coral population in the world, contributed as the world’s second largest ornamental corals exporter after Japan. Coral trade sparked the issues of habitat destruction, illegal trade, and coral health problems has prompted the government to banning of ornamental coral export. This study aims to find an empirical evidence does the policies mentioned above affect the condition of coral reefs in Indonesia. The author uses the Fixed-Effect Model on the Difference in Difference regression equation whose result show that export banning of ornamental corals does not significantly affect the condition of coral reefs in Indonesia.

Granulocyte Colony Stimulating Factor Promotes Scarless Tissue Regeneration, Jianhe Huang, Satish: Murphy Sati, Casey A. Spencer, Emmanuel Rapp, Stephen M. Prouty, Scott Korte, Olivia Ahart, Emily Sheng, Anna E. Kersh, Denis Leung, Thomas H. Leung, Leung, Denis H. Y.

Research Collection School Of Economics

Mammals typically heal with fibrotic scars, and treatments to regenerate human skin and hair without a scar remain elusive. We discovered that mice lacking C-X-C motif chemokine receptor 2 (CXCR2 knockout [KO]) displayed robust and complete tissue regeneration across three different injury models: skin, hair follicle, and cartilage. Remarkably, wild-type mice receiving plasma from CXCR2 KO mice through parabiosis or injections healed wounds scarlessly. A comparison of circulating proteins using multiplex ELISA revealed a 24-fold higher plasma level of granulocyte colony stimulating factor (G-CSF) in CXCR2 KO blood. Local injections of G-CSF into wild-type (WT) mouse wound beds reduced scar …