Econometrics Commons^™

Modeling And Forecasting Realized Volatility With The Fractional Ornstein-Uhlenbeck Process, Xiaohu Wang, Weilin Xiao, Jun Yu

Research Collection School Of Economics

This paper proposes to model and forecast realized volatility (RV) using the fractional Ornstein-Uhlenbeck (fO-U) process with a general Hurst parameter, H. A two-stage method is introduced for estimating parameters in the fO-U process based on discrete-sampled observations. In the first stage, H is estimated based on the ratio of two second-order differences of observations from different frequencies. In the second stage, with the estimated , the other parameters of the model are estimated by the method of moments. All estimators have closed-form expressions and are easy to implement. A large sample theory of the proposed estimators is derived. Extensive …

Covariate Adjustment In Experiments With Matched Pairs, Yuehao Bai, Liang Jiang, Joseph P. Romano, Azeem M. Shaikh, Yichong Zhang

Research Collection School Of Economics

This paper studies inference on the average treatment effect in experiments in which treatment status is determined according to “matched pairs” and it is additionally desired to adjust for observed, baseline covariates to gain further precision. By a “matched pairs” design, we mean that units are sampled i.i.d. from the population of interest, paired according to observed, baseline covariates and finally, within each pair, one unit is selected at random for treatment. Importantly, we presume that not all observed, baseline covariates are used in determining treatment assignment. We study a broad class of estimators based on a “doubly robust” moment …

When Bias Contributes To Variance: True Limit Theory In Functional Coefficient Cointegrating Regression, Peter C. B. Phillips, Ying Wang

Research Collection School Of Economics

Limit distribution theory in the econometric literature for functional coefficient cointegrating regression is incorrect in important ways, influencing rates of convergence, distributional properties, and practical work. The correct limit theory reveals that components from both bias and variance terms contribute to variability in the asymptotics. The errors in the literature arise because random variability in the bias term has been neglected in earlier research. In stationary regression this random variability is of smaller order and can be ignored in asymptotic analysis but not without consequences for finite sample performance. Implications of the findings for rate efficient estimation are discussed. Simulations …

Diagnosing Housing Fever With An Econometric Thermometer, Shuping Shi, Peter C. B. Phillips

Research Collection School Of Economics

Housing fever is a popular term to describe an overheated housing market or housing price bubble. Like other financial asset bubbles, housing fever can inflict harm on the real economy, as indeed the U.S. housing bubble did in the period following 2006 leading up to the general financial crisis and great recession. One contribution that econometricians can make to minimize the harm created by a housing bubble is to provide a quantitative “thermometer” for diagnosing ongoing housing fever. Early diagnosis can enable prompt and effective policy action that reduces long-term damage to the real economy. This paper provides a selective …

Fully Modified Least Squares Cointegrating Parameter Estimation In Multicointegrated Systems, Igor L. Kheifets, Peter C. B. Phillips

Research Collection School Of Economics

Multicointegration is traditionally defined as a particular long run relationship among variables in a parametric vector autoregressive model that introduces additional cointegrating links between these variables and partial sums of the equilibrium errors. This paper departs from the parametric model, using a semiparametric formulation that reveals the explicit role that singularity of the long run conditional covariance matrix plays in determining multicointegration. The semiparametric framework has the advantage that short run dynamics do not need to be modeled and estimation by standard techniques such as fully modified least squares (FM-OLS) on the original system is straightforward. The paper derives FM-OLS …

An Experimental Test Of Algorithmic Dismissals, Brice Corgnet

ESI Working Papers

We design a laboratory experiment in which a human or an algorithm decides which of two workers to dismiss. The algorithm automatically dismisses the least productive worker whereas human bosses have full discretion over their decisions. Using performance metrics and questionnaires, we find that fired workers react more negatively to human than to algorithmic decisions in a broad range of tasks. We show that spitefulness exacerbated this negative reaction. Our findings suggest algorithms could help tame negative reactions to dismissals.

The Methodology Of Multiple Regressions For Gdp Per Capita For Nations In The World Between 0 Ce And 1940, Robert Rogers

The Journal of Economics and Politics

A reduced-form model of GDP per capita is estimated using the classical econometric method and two Bayesian techniques, Extreme Bounds Analysis (EBA) and Bayesian Analysis of Classical Estimation (BACE) for the two millenniums. For several variables, such as the impact of colonialism, the Goldstone hypothesis of efflorescence increasing economic growth, and the impact of technology, this paper lends support, especially when the Bayesian methods are applied. Other results are mixed. Generally, the results support use of Bayesian methods by eliminating hypotheses that are not consistently supported over all models.

Association Between Low Health Literacy And Adverse Health Behaviors In North Carolina, 2016, Manan Roy, Adam Hege, Erin D. Bouldin

Journal of Appalachian Health

Introduction: Health literacy (HL) is an urgent public health challenge facing the U.S. HL is a critical factor in health inequities and exacerbates underlying social determinants of health.

Purpose: This study assesses the association between low HL (LHL) and adverse health behaviors, which contribute to poor health.

Methods: Researchers used North Carolina’s 2016 Behavioral Risk Factor Surveillance System data, namely, the Health Literacy optional module which asks respondents to rate how difficult it is for them to get health-related advice or to understand medical information (verbal or written). Health behaviors analyzed were excessive alcohol consumption, lack of adequate exercise and …

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 …

Effects Of The Raising The Minimum Legal Purchasing Age For Tobacco On Cigarette, Cocaine And Inhalant Consumption, Ahmed Adil

Theses and Dissertations

Over the past few years, several states have passed laws that increase the minimum legal purchasing age (MLPA) for tobacco from 18 to 21 years. This study examines the impact of statewide MLPA laws on youth tobacco consumption. Using data from the 2009-2019 Youth Risky Behavior Surveys (YRBS) and a difference-in-differences approach, I find that the enactment of MLPA laws is associated with a decrease in tobacco usage among adolescents. I also find that MLPA laws have important spillover effects to other youth risky behaviors. MLPA law adoption is associated with a reduction in cocaine use and inhalant abuse.

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 …

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 …

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.

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 …

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.