Social and Behavioral Sciences Commons^™

Internet Use And Economic Development: Evidence And Policy Implications, Joseph J. Macdougald

USF Tampa Graduate Theses and Dissertations

This dissertation explores how Internet use impacts four different measures of economic development using several econometric techniques on multi-country panel data. The economic development outcomes investigated are: per capita GDP, per capita export revenues, per capita market capitalization, and societal well-being as measured by the United Nations Human Development Index (HDI). Data from the World Bank, the International Telecommunication Union, and the United Nations –covering 202 countries over the period 1996 to 2007– are combined to allow for empirical investigation using dynamic panel data and finite mixture model estimation techniques on the total sample and subsamples stratified by country income …

Modeling Endogenous Treatment Eects With Heterogeneity: A Bayesian Nonparametric Approach, Xuequn Hu

USF Tampa Graduate Theses and Dissertations

This dissertation explores the estimation of endogenous treatment effects in the presence of heterogeneous responses. A Bayesian Nonparametric approach is taken to model the heterogeneity in treatment effects. Specifically, I adopt the Dirichlet Process Mixture (DPM) model to capture the heterogeneity and show that DPM often outperforms Finite Mixture Model (FMM) in providing more flexible function forms and thus better model fit. Rather than fixing the number of components in a mixture model, DPM allows the data and prior knowledge to determine the number of components in the data, thus providing an automatic mechanism for model selection.

Two DPM models …

Cap-And-Trade Modeling And Analysis For Electric Power Generation Systems, Patricio Rocha

USF Tampa Graduate Theses and Dissertations

Cap-and-trade is the most discussed CO₂ emissions control scheme in the U.S. It is a market-based mechanism that has been used previously to successfully reduce the levels of SO₂ and NO_x emitted by power generators. Since electricity generators are responsible for about 40% of the CO₂ emissions in the U.S., the implementation of CO₂ cap-and-trade will have a significant impact on electric power generation systems. In particular, cap-and-trade will influence the investment decisions made by power generators. These decisions in turn, will affect electricity prices and demand. If the allowances (or emission permits) created by …