Open Access. Powered by Scholars. Published by Universities.®

Econometrics Commons™

Open Access. Powered by Scholars. Published by Universities.®

2,845 Full-Text Articles 2,730 Authors 2,587,827 Downloads 149 Institutions

All Articles in Econometrics

Faceted Search

2,845 full-text articles. Page 58 of 118.

Step Away From Stepwise, Gary N. Smith 2019 Pomona College

Step Away From Stepwise, Gary N. Smith

Pomona Economics

Stepwise regression is a popular data-mining tool that uses statistical significance to select the explanatory variables to be used in a multiple-regression model. A fundamental problem with stepwise regression is that some real explanatory variables that have causal effects on the dependent variable may happen to not be statistically significant, while nuisance variables may be coincidentally significant. As a result, the model may fit the data well in-sample, but do poorly out-of-sample. Many Big-Data researchers believe that, the larger the number of possible explanatory variables, the more useful is stepwise regression for selecting explanatory variables. The reality is that stepwise …


Economic Growth As It Relates To Women’S Labor Force Participation In The Lac, John Esher 2019 Bryant University

Economic Growth As It Relates To Women’S Labor Force Participation In The Lac, John Esher

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the dependence of economic growth in the LAC and the relationship between Women’s Labor Force Participation and growth in production and total GDP. This study is the incorporation of information and data from the LAC into a Solow Growth Model to examine the influence of participation on the GDP per capita of the region. Increases in GDP per capita are modeled by using the differences in current GDP per capita against the GDP after women’s participation is increase to the same level to men’s. The results show that if women were to actively participate in the labor …


Esg Scores Impact On The Market Value Of The Stock, Michelle Quinn 2019 Bryant University

Esg Scores Impact On The Market Value Of The Stock, Michelle Quinn

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the effects of the ESG scores on a firm’s stock valuation, using the Tobin’s Q ratio. This study will incorporate both the ESG index as a whole and the individual factors: environmental, social and governance to consider the firm’s corporate social responsibility. This model uses the Tobin’s Q measurement to evaluate if the stock is over or undervalued while including the size, risk, and development within the firm. The paper found that there is little significant evidence to prove that there is a relationship between the ESG scores and the valuation of the stock, but there is …


Effects Of Private And Public Health Expenditure On Health Outcome, Hyungue Lim 2019 Bryant University

Effects Of Private And Public Health Expenditure On Health Outcome, Hyungue Lim

Empirical Economic Bulletin, An Undergraduate Journal

The current level of health spending in the U.S. is the highest in the world. However, the outcomes of the health spending are among the lowest for developed countries. Therefore, for policy development purpose, it is necessary to determine which direction of healthcare spending results in better output, private or public. This paper investigates the effect of private and public health expenditure on life expectancy, infant mortality at birth, and infant mortality under age 5 among 11 OECD countries. Hausman test is performed to confirm the fixed effects models. Fixed effects GLS and GMM are used for data analysis. We …


What Is Driving Up Health Care Costs? Does Pollution Play A Role: Oecd Country Panel Data Analysis, Sean Gillis 2019 Bryant University

What Is Driving Up Health Care Costs? Does Pollution Play A Role: Oecd Country Panel Data Analysis, Sean Gillis

Empirical Economic Bulletin, An Undergraduate Journal

This study investigates the rising health care costs among nine OECD nations from 1990 to 2014. A panel data analysis was conducted to analyze specific causes for these rises. Total health care expenditure is the dependent variable with carbon dioxide emissions being the main variable of interest. Analysis finds that the economy has grown faster than health care expenditures, and a negative relationship between CO2 emissions, elderly populations, urban population growth rates and health care expenditure.


Causality Relationship Between Income Inequality And Life Satisfaction In European Countries: Does Income Inequality Affect Life Satisfaction?, Rodrigue Beleho Balemaken 2019 Bryant University

Causality Relationship Between Income Inequality And Life Satisfaction In European Countries: Does Income Inequality Affect Life Satisfaction?, Rodrigue Beleho Balemaken

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines the interaction between life satisfaction and income inequality in European nations from 2006 to 2016. The keys finding of the analysis and the results show that countries that promote collectivism tend to have people with higher life satisfaction than countries which promote individualism. In general, individuals prefer to live in a country where they have stable disposable income, freedom in the way they are thinking, trust in their government and policies, a healthy life expectancy, and social support and generosity from peers. With this in mind, it raises the question, “where does income inequality fit into this?” …


Fdi & Crime In South America: A Panel Data Analysis, Casey Doyle 2019 Bryant University

Fdi & Crime In South America: A Panel Data Analysis, Casey Doyle

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the relationship between flows of FDI into South America and how it affects crime and how crime affects FDI. The paper incorporates a fixed effects model within an FDI model to examine how flows of FDI from foreign countries into South America impact crime in these countries. This study will use ten countries from South America in a panel data set from 2010 to 2016 that have different FDI intakes and crime rates. This is so that a well-rounded picture can be seen.


Salary Dispersion And Team Performance In Major League Baseball: A Quantile Regression Analysis, Shane Vyskocil 2019 Bryant University

Salary Dispersion And Team Performance In Major League Baseball: A Quantile Regression Analysis, Shane Vyskocil

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the relationship between salary dispersion and team performance in Major League Baseball. Player salary data is collected to calculate each team’s annual Gini coefficient from 1998-2016, which is used to represent a team’s level of wage inequality in a given year. The study incorporates a fixed and random effects model, and distinguishes itself from previous research by employing multiple quantile regressions to analyze how the impact of salary dispersion differs depending on a team’s performance level. The results find that the fixed effects model is preferred, and that there is consistently a negative relationship between wage differentials …


Figuring Out Aid: The Determinants Of Foreign Aid To Subsaharan Africa In The Post-Cold War Era, Soala Ekine 2019 Bryant University

Figuring Out Aid: The Determinants Of Foreign Aid To Subsaharan Africa In The Post-Cold War Era, Soala Ekine

Empirical Economic Bulletin, An Undergraduate Journal

I investigate the determinants of foreign aid to Sub – Sahara African countries. I look at the post – Cold War era following Bandyopadhyay and Wall (2007). The independent variables of interest are GDP per capita, infant mortality, population, civil and political rights and also government effectiveness. I control for fixed effects to allow for political, strategic and other reasons donors have and use data from the World Bank from 1995. My results show that in the post-Cold War era, government effectiveness and population are statistically significant in explaining net official and development aid and assistance. A population bias is …


The Paradox Of Big Data, Gary N. Smith 2019 Pomona College

The Paradox Of Big Data, Gary N. Smith

Pomona Economics

Data-mining is often used to discover patterns in Big Data. It is tempting believe that because an unearthed pattern is unusual it must be meaningful, but patterns are inevitable in Big Data and usually meaningless. The paradox of Big Data is that data mining is most seductive when there are a large number of variables, but a large number of variables exacerbates the perils of data mining.


Measurement Of Childhood Poverty In The United States And Its Enduring Influences, Zi Yang 2019 Suffolk University

Measurement Of Childhood Poverty In The United States And Its Enduring Influences, Zi Yang

The Journal of Sociology & Social Welfare

This paper measures childhood poverty in the United States and classifies it into three degrees based on different durations – persistent poverty, chronic transient poverty, and non-chronic transient poverty – using the Panel Study of Income Dynamics (PSID) data and actual poverty thresholds in the United States. Then I examine the enduring influences of different types of childhood poverty on future performance, including academic achievement, income, and criminal behavior, utilizing OLS and logistic models as well as Mincer wage functions. The regression results show that childhood poverty has a negative impact on schooling years and earnings. Living in poverty increases …


A Mobile Solution To Drug Prescription And Dispensation With Privacy Protection For Developing Economies, Kingsley C. Nwosu 2019 Saint Leo University, Newport News, Virginia, USA

A Mobile Solution To Drug Prescription And Dispensation With Privacy Protection For Developing Economies, Kingsley C. Nwosu

Journal for the Advancement of Developing Economies

It is unarguable that many countries within the developing economies have not been able to reap many of the benefits from the innovations in Computer and Information Technologies (CIT) as they pertain to the advances in healthcare delivery systems. The contributing factors to the problems in these countries are multifaceted, such as, ethnic, cultural, environmental, governance, and infrastructural. To address these problems, current efforts have focused mostly on the issues of disease control and management. However, insufficient attention has been given to the concomitant problems of medication (drug / prescription) management especially as they relate to information management between patients, …


Determinants Of Cost Of Treating Water-Borne Diseases Among Rural Households In South West Nigeria, Alaba M. Dare, Idris A. Ayinde, Adebayo M. Shittu, Sammy O. Sam-Wobo, Sakiru O. Akinbode 2019 Federal University of Agriculture, Abeokuta, Nigeria

Determinants Of Cost Of Treating Water-Borne Diseases Among Rural Households In South West Nigeria, Alaba M. Dare, Idris A. Ayinde, Adebayo M. Shittu, Sammy O. Sam-Wobo, Sakiru O. Akinbode

Journal for the Advancement of Developing Economies

This study determined the factors that influence the economic burden of water-borne diseases and the associated financial cost for rural households in southwestern Nigeria. A multi-stage random sampling method was used to select four hundred and thirty-seven rural households from whom data were collected for the study. Data were analyzed using descriptive statistics and cost of illness approach. The results revealed that an average household had six members with an average quarterly income of N80,717.52 (N160.00 = 1US dollar, at time of study). The sum of N28,571.36 was incurred as economic cost of water-borne diseases per household per quarter in …


All For One Or Each For Her Own: Do Polygamous Families Share And Share Alike?, Kristin Mammen 2019 CUNY College of Staten Island

All For One Or Each For Her Own: Do Polygamous Families Share And Share Alike?, Kristin Mammen

Journal for the Advancement of Developing Economies

This paper examines whether the mother’s rank (whether she is a senior or junior wife) in polygamous households in Côte d’Ivoire injects favoritism that could lead to differential investment in children (based on mother’s rank), a concern that could cause an inefficient allocation of household resources. The hypothesis is that the younger is a junior wife relative to the senior wife, the greater favoritism she will receive from the husband, and the better her children will fare. This question is analyzed employing Ordinary Least Squares on a Living Standards Measurement Survey microdataset collected by the World Bank. An interesting pattern …


Credit Constraints And Agricultural Productivity Of Rural Households In Nigeria, Olugbenga K. Omolade, Abimbola O. Adepoju 2019 University of Ibadan, Nigeria

Credit Constraints And Agricultural Productivity Of Rural Households In Nigeria, Olugbenga K. Omolade, Abimbola O. Adepoju

Journal for the Advancement of Developing Economies

This study, employing descriptive statistics and the Endogenous Switching Model, examined the link between credit constrained condition and agricultural productivity of rural households in Nigeria. Findings show that under credit constrained condition, education, labour, technology and other production inputs were not optimally utilized by the households. Credit constrained households had lower productivity than a random household from the sample would have had. However, in credit constrained households, being a male-headed household implied higher productivity. On the other hand, high value of assets and cost of hired labour had negative effects on productivity, while level of education and access to information …


Modeling And Forecasting Glacier National Park Visitation, Michael James Kernan 2019 University of Montana

Modeling And Forecasting Glacier National Park Visitation, Michael James Kernan

Graduate Student Theses, Dissertations, & Professional Papers

National parks have recently seen increased visitation demand. Glacier National Park is located in an area where changes in weather and climate will occur at an accelerated rate. Changes in fire and precipitation regimes are taking place at a time when Glacier National Park is setting new visitation records. This paper uses regression and forecast models to investigate the changing landscape of park visitation.

Findings suggest important impacts to monthly visitation and cycling on Going-to-the-Sun Road in Glacier National Park are associated with forest fire activity and precipitation. The conclusions of this paper support perceptions about the effect natural occurrences …


Investigating The Effect Crime Has On Uber And Yellow Taxi Pickups In Nyc, Kebing Li 2019 Colby College

Investigating The Effect Crime Has On Uber And Yellow Taxi Pickups In Nyc, Kebing Li

Honors Theses

How to manage the relationship between Uber and the local taxi industry has been a long-lasting and hot topic for most of the major cities around the world. Whether Uber is stealing money from and undermining the local taxi drivers or it is beneficial for public transportation has no certain conclusions. In this paper, we focus on the city of New York, where both Uber and traditional Yellow Taxi play important roles in public transportation and city culture in general, and we are trying to investigate the factors that are going to affect Uber and Yellow Taxi pickups in New …


Accounting For Agent Heterogeneity In Market And Policy Analysis, Konstantinos Giannakas 2019 University of Nebraska-Lincoln

Accounting For Agent Heterogeneity In Market And Policy Analysis, Konstantinos Giannakas

Zea E-Books Collection

doi:10.13014/K2416V8V

This book presents a multi-market framework of market and policy analysis that explicitly accounts for the empirically relevant heterogeneity in consumer preferences and producer characteristics. The explicit consideration of consumer and producer heterogeneity represents a significant departure from the representative consumer and producer that have been at the center of most of the literature on market and policy analysis, and enables the distributional impacts of changes in market conditions and policies to be fully identified. The framework is used to analyze the system-wide market and welfare impacts of a number of changes in market conditions (like changes in consumer …


On Cluster Robust Models, José Bayoán Santiago Calderón 2019 Claremont Graduate University

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 …


Canadian Hockey Leagues Game-To-Game Performance, Nick R. Riccardi 2019 Syracuse University

Canadian Hockey Leagues Game-To-Game Performance, Nick R. Riccardi

Sport Management - All Scholarship

This study examines game-to-game performance of players across the three Canadian Hockey Leagues (Western Hockey League, Ontario Hockey League, and Quebec Major Junior Hockey League) for the 2017-2018 season. It tests the importance of factors such as rest, travel, weather conditions, and more. Data for this study were collected from each of the three CHL websites and from www.weatherunderground.com. The null hypotheses of different factors affecting performance were tested through regression models using Ordinary Least Squares. The dependent variables, used across different specifications, were on-ice performance variables such as points, goals, and penalty minutes on a per-game basis.


Digital Commons powered by bepress