Digital Commons Network^™

Economic Transition And Growth, Peter C. B. Phillips, Donggyu Sul

Research Collection School Of Economics

Some extensions of neoclassical growth models are discussed that allow for cross-section heterogeneity among economies and evolution in rates of technological progress over time. The models offer a spectrum of transitional behavior among economies that includes convergence to a common steady-state path as well as various forms of transitional divergence and convergence. Mechanisms for modeling such transitions, measuring them econometrically, assessing group behavior and selecting subgroups are developed in the paper. Some econometric issues with the commonly used augmented Solow regressions are pointed out, including problems of endogeneity and omitted variable bias which arise under conditions of transitional heterogeneity. Alternative …

Financial Crisis, Imf, And Bank Efficiency: Empirical Evidence From The Asean-4 Banking Sectors, Fadzlan Sufian, Muzafar Shah Habibullah

Bulletin of Monetary Economics and Banking

Despite its severity and deep influence on both the real and financial sectors, empirical evidence on the evolution of the performance of the ASEAN-4 banking sectors since the 1997-1998 Asian financial crisis is relatively scarce. By employing the Data Envelopment Analysis (DEA) approach the present study examines for the first time the impact of the Asian financial crisis on the efficiency of the ASEAN-4 countries banking sectors. This study focuses on two major approaches vis. intermediation and revenue approaches. The empirical findings suggest that the estimates of technical efficiency are consistently higher under the revenue approach. We find that banks …

The Em Algorithm For Group Testing Regression Models Under Matrix Pooling, Christopher R. Bilder, Boan Zhang

Department of Statistics: Faculty Publications

No abstract provided.

Hedonic Regression Analysis Comparing Napa To Paso Robles Red Wine Prices With An Emphasis On Screw Cap Closure Methods, Todd Patrick Griffin

Agribusiness

The purpose of the senior project was to test and estimate quantitative and qualitative relationships between wine bottle characteristics in two different wine consuming regions of California. A hedonic regression analysis was performed to evaluate the significance on price fluctuations based on varietals of wine that contain labels of origin from two American Viticultural Areas (AVA’s) in California. A hedonic regression analysis divided the price of the product into variables that composed the product. The division of variables allowed the researcher to examine and observe whether they are of high or low significance to the estimation of price. The senior …

Review Of Super Crunchers By Ian Ayers, Eric Gaze

Numeracy

Ayers, I. Super Crunchers: Why Thinking-by-Numbers Is the New Way to be Smart. (Bantam Dell Publishing Group, 2007). 272 pp. Hard cover $25 ISBN 978-0-553-80540-6.

Super Crunchers tells the story of how analyzing data is changing the ways in which decisions are made. We in the National Numeracy Network make a case for the importance of quantitative literacy by referring to how much quantitative information is now available to each of us: “a world awash in numbers.” Ian Ayres zeroes in on the people who are making a living crunching all of these data. From the seemingly innocuous (how …

Emergency Department Capacity Planning For A Pandemic Scenario: Nurse Allocation, Florentino Antonio Rico

USF Tampa Graduate Theses and Dissertations

The problem considered in this research is the efficient allocation of resources in an emergency department during a large flow of patient consequent to a pandemic influenza breakout. Predicting the impact of a Pandemic Influenza is very complex due to the many unknown variables that may play a role to how severe a pandemic can be. Scenario planning is considered in this research to forecast different potential outcomes and help decision makers better understand the role of uncertainties and become prepared to make important decisions. The goal is to first create a forecast model to estimate the patient demand during …

Statistical Changes In Lakes In Urbanizing Watersheds And Lake Return Frequencies Adjusted For Trend And Initial Stage Utilizing Generalized Extreme Value Theory, Shayne Paynter

USF Tampa Graduate Theses and Dissertations

Many water resources throughout the world are demonstrating changes in historic water levels. Potential reasons for these changes include climate shifts, anthropogenic alterations or basin urbanization. The focus of this research was threefold: 1) to determine the extent of spatio-temporal changes in regional precipitation patterns 2) to determine the statistical changes that occur in lakes with urbanizing watersheds and 3) to develop accurate prediction of trends and lake level return frequencies. To investigate rainfall patterns regionally, appropriate distributions, either gamma or generalized extreme value (GEV), were fitted to variables at a number of rainfall gages utilizing maximum likelihood estimation. The …

Quantile Regression, Roger Koenker, Kevin F. Hallock

Kevin F Hallock

Quantile regression as introduced by Koenker and Bassett seeks to extend ideas of quantiles to the estimation of conditional quantile functions--models in which quantiles of the conditional distribution of the response variable are expressed as functions of observed covariates.

Race In The War On Drugs: The Social Consequences Of Presidential Rhetoric, Jeff L. Yates, Andrew Whitford

Jeff L Yates

One of the president’s main leadership tools for influencing the direction of American legal policy is public rhetoric. Numerous studies have examined the president’s use of the “bully pulpit” to lead policy by influencing Congress or public opinion, or by changing the behavior of public agencies. We argue that the president can use rhetoric to change the behavior of public agencies and that this can have important social consequences. We focus on the disproportionate impact of presidential rhetoric on different “target populations” in the context of the War on Drugs. Specifically, we observe that presidential rhetoric had a greater impact …

A Gasoline Demand Model For The United States Light Vehicle Fleet, Diana Rey

Electronic Theses and Dissertations

The United States is the world's largest oil consumer demanding about twenty five percent of the total world oil production. Whenever there are difficulties to supply the increasing quantities of oil demanded by the market, the price of oil escalates leading to what is known as oil price spikes or oil price shocks. The last oil price shock which was the longest sustained oil price run up in history, began its course in year 2004, and ended in 2008. This last oil price shock initiated recognizable changes in transportation dynamics: transit operators realized that commuters switched to transit as a …

The Intersection Of Judicial Attitudes And Litigant Selection Theories: Explaining U.S. Supreme Court Decision Making, Jeff L. Yates, Elizabeth Coggins

Jeff L Yates

Two prominent theories of legal decision making provide seemingly contradictory explanations for judicial outcomes. In political science, the Attitudinal Model suggests that judicial outcomes are driven by judges' sincere policy preferences -- judges bring their ideological inclinations to the decision making process and their case outcome choices largely reflect these policy preferences. In contrast, in the law and economics literature, Priest and Klein's well-known Selection Hypothesis posits that court outcomes are largely driven by the litigants' strategic choices in the selection of cases for formal dispute or adjudication -- forward thinking litigants settle cases where potential judicial outcomes are readily …

Semiparametric Regression During 2003-2007, David Ruppert, M. P. Wand, Raymond J. Carroll

Faculty of Informatics - Papers (Archive)

Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology - thus allowing more streamlined handling of longitudinal and spatial correlation. We review progress in the field over the five-year period between 2003 and 2007. We find semiparametric regression to be a vibrant field with substantial involvement and activity, continual enhancement and widespread application.

Comparative Models Of Hydrocarbon Emissions For A Diesel Engine Operating At Constant Loads And Speeds, Dennis G. Watson, David R. Bostic, Tony V. Harrison

Articles

Linear multiple regression (LMR) and nonlinear polynomial network (NPN) models were developed from data collected from ISO 8178‐4 (1996) test cycle B‐type tests (ISO) and an expanded set of tests (EXP) to predict hydrocarbon (HC) emissions from a diesel engine. LMR using the ISO training data (R2 = 0.94) resulted in overfitting of the model as applied to the evaluation data (R2 = 0.49). LMR based on the expanded data (R2 = 0.68) was a better LMR model when applied to the evaluation data (R2 = 0.64). NPN using the expanded training data (R2 = 0.99) resulted in the best …

Community College Online Course Retention And Final Grade: Predictability Of Social Presence, Simon Y. Liu, Joel Gomez, Cherng-Jyh Yen

Educational Leadership & Workforce Development Faculty Publications

This study employed a quantitative research design to examine the predictive relationships between social presence and course retention as well as final grade in community college online courses. Social presence is defined as the degree of one's feeling, perception and reaction to another intellectual entity in the online environment. Course final grades included A, B. C, D, F, I, or W. Course retention was defined as successfully completed a course with an A to C grade. The results of the binary and ordinal logistic regression analyses suggest that social presence is a significant predictor of course retention and final grade …