Business Administration (BSAD)
Courses
BSAD 6310. FOUNDATIONS OF SCIENTIFIC INQUIRY. 3 Hours.
The evolution of the modern corporation is briefly addressed. The core topics include the structure of explanation, the structure of scientific laws, theory building, philosophy of science and relativistic/post-relativistic philosophies of science.
BSAD 6311. EXPERIMENTAL DESIGN. 3 Hours.
In-depth coverage of selected topics in the design of research and analysis of data; topics include philosophy of science, theory of measurement, complex experimental and quasi-experimental designs.
BSAD 6312. REGRESSION. 3 Hours.
The theoretical and practical aspects of regression analysis. Topics include simple and multiple linear regression, the matrix formulation of regression models, regression diagnostics and remedial measures, collinearity and ridge regression, normal correlation models, and non-linear least squares, time series including ARIMA models are covered. Practical applications of statistical software packages are emphasized.
BSAD 6313. ANOVA. 3 Hours.
Experimental design and data analysis, especially as related to business and economic research. Topics include completely randomized designs, complete and incomplete blocks, nested designs, estimation and testing of fixed, random and mixed effects, sampling, nonparametric statistics and analysis of variance.
BSAD 6314. MULTIVARIATE STATISTICS. 3 Hours.
Focuses on methods of analyzing mean and covariance structures. Topics include commonly applied multivariate methods such as multiple analysis of variance, repeated measures, discriminant analysis, profile analysis, canonical correlations and factor analytic methods. The use of matrix algebra and available computer packages will be stressed.
BSAD 6315. TIME SERIES. 3 Hours.
Univariate and multivariate time series; analysis of economic and financial data; out-of-sample forecasting using computer software. Autoregressive-moving average models, vector autoregression, unit roots, co-integration, ARCH and GARCH.
BSAD 6316. FINANCIAL ECONOMETRICS. 3 Hours.
In-depth study of the econometric tools and techniques used in empirical finance research. Course emphasizes data extraction and analysis of common finance databases, as well as the theoretical basis for current empirical finance techniques and methods.
BSAD 6317. APPLIED BUSINESS & ECONOMICS DATA ANALYSIS I. 3 Hours.
Statistical methods applied to business and economic problems; topics include multiple regression, generalized linear regression, systems estimation.
BSAD 6318. APPLIED BUSINESS AND ECONOMICS DATA ANALYSIS II. 3 Hours.
This course covers cross section, panel data, and limited dependent variables methods. There is a dual focus on the conceptual framework and the application of the techniques on real data sets. Topics include regression analysis of natural experiments, differences-in-differences, panel data methods, instrumental variable estimation, structural equation modeling, sample selection corrections, limited dependent variable models (such as Probit, Logit, Tobit, Poison, Negative Binomial, Ordered Probit), multilevel/hierarchical models, and quantile regression. Participants use statistical packages such as EXCEL, SAS, R and STATA to apply techniques to data sets. The course uses articles from the business and economics literature and shows how models or variables (such as diversification index, market value, Q, CAPM, market concentration, elasticity, industrial performance, labor productivity, total factor productivity, CSR index, entry barrier measures, hedonic models, analysis of natural experiments, gravity model) that are used are calculated and employed. Participants build an understanding of appropriate methods for different research design or analyses of data for providing solutions to assist in decision-making. Students are expected to complete an empirical research project and present their findings. Prerequisite: ECON 5336.
BSAD 6330. Nonparametric Statistics. 3 Hours.
A survey of statistical tools which may be used when the normal assumptions of parametric statistics cannot be made; including procedures for categorical data, methods involving ranks, bootstrapping, and Kolmogorov-Smirnov type techniques. Cross listed with BSTAT 5330. Prerequisite: BSTAT 5325 or equivalent.
BSAD 6392. DOCTORAL RESEARCH AND TEACHING COLLOQUIUM. 3 Hours.
Review of the research process and contemporary developments in the methodology and design of empirical research in the major fields of study represented in the doctoral program. Review of teaching methods for effective classroom instruction. May be repeated for credit.
BSAD 6399. DISSERTATION. 3 Hours.
BSAD 6699. DISSERTATION. 6 Hours.
BSAD 6999. DISSERTATION. 9 Hours.
BSAD 7399. DOCTORAL DEGREE COMPLETION. 3 Hours.
This course may be taken during the semester in which a student expects to complete all requirements for the doctoral degree and graduate. Enrolling in this course meets minimum enrollment requirements for graduation, for holding fellowships awarded by The Office of Graduate Studies and for full-time GTA or GRA positions. Students should verify that enrollment in this course meets other applicable enrollment requirements. To remain eligible in their final semester of study for grants, loans or other forms of financial aid administered by the Financial Aid Office must enroll in a minimum of 5 hours as required by the Office of Financial Aid. Other funding sources may also require more than 3-hours of enrollment. Additional hours may also be required to meet to requirements set by immigration law or by the policies of the student's degree program. Students should contact the Financial Aid Office, other sources of funding, Office of International Education and/or their graduate advisor to verify enrollment requirements before registering for this course. This course may only be taken once and may not be repeated. Students who do not complete all graduation requirements while enrolled in this course must enroll in a minimum of 6 dissertation hours (6699 or 6999) in their graduation term. Graded P/F/R.