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  • 3.00 Credits

    5460. Industrial Organization and Public Policy. 3 hours. Emphasizes relationships between structure, conduct and performance of industries. Topics include concentration, barriers to entry, pricing, mergers, product differentiation, technical change, antitrust and regulation. Case studies of selected American industries illustrate the theory and public policy implications. Individual readings and research required. Prerequisite(s): ECON 3550 or consent of department. Students may not receive credit for both ECON 4460 and 5460. Usually offered spring semester
  • 3.00 Credits

    5550. Law and Economics. 3 hours. Advanced economic analysis of the mutual interaction between legal systems and economic activity. Topics include an introduction to legal systems and institutions, legal analysis, application of economic theory to develop and test hypotheses regarding the effects of laws on incentives and economic behavior, the allocation of resources, the distribution of income. Prerequisite(s): ECON 5000.
  • 3.00 Credits

    5600. Mathematical Economics. 3 hours. Mathematical approaches to economic theory: models of production, consumer choice, markets and pricing; simple macroeconomic models. Prerequisite(s): ECON 3550 or ECON 5030 and MATH 1710 or consent of department.
  • 3.00 Credits

    5630. Research Methods. 3 hours. Research methodology for business and the social sciences. Topics include descriptive statistics, basic probability theory, discrete and continuous probability distributions, hypothesis testing and introductory regression techniques. Emphasis is placed on economics applications. Usually offered fall or spring semesters. Prerequisite(s) : MATH 1100
  • 3.00 Credits

    5640. Multivariate Regression Analysis. 3 hours. Focuses on the basic statistical methods employed in linear regression analysis using examples most often encountered in economics, finance and accounting. Topics include: linear and intrinsically linear regression models; estimation under ideal and non-ideal conditions; linear hypothesis testing; multicollinearity; and, models with dummy variables. Usually offered fall and spring semesters. Prerequisite(s): MATH 1710 and ECON 5630 or consent of department.
  • 3.00 Credits

    5645. Empirical Linear Modeling. 3 hours. Develops the tools necessary to analyze, interpret, and develop empirical applications of econometric estimation procedures. Students will explore an assortment of applied problems that are typically encountered in quantitative research with particular attention given to the examination of real-world, economic, and other business-related phenomena. Particular attention is given to developing proficiency in the following areas: (1) organizing and manipulating data; (2) estimating linear regression models; (3) interpreting econometric results and computer output; and, (4) working with computer software. Prerequisite(s): ECON 5640.
  • 3.00 Credits

    5650. Advanced Econometrics. 3 hours. Focuses on the theoretical foundation of non-linear regression models often encountered in economics, finance and accounting. Topics include: the multivariate classical linear regression model; ideal conditions for estimation of the classic linear regression model; linear and non-linear hypothesis testing; the method of maximum likelihood estimation; the consequences of departures from ideal conditions; structural and reduced form equations and models with endogenous regressors; models with qualitative and limited dependent variables; and, models with panel data. Usually offered spring semester. Prerequisite(s): ECON 5600 and 5640 or consent of department.
  • 3.00 Credits

    5655. Econometric Analysis of Panel Data. 3 hours. Focuses on econometric methods for analyzing panel data in economics and business-related fields. Analysys of linear panel data models by fixed effects and random effects is the main topic. Topics include advanced methods for single analysis and some nonlinearpanel data models. Model assumptions, specification, estimation, interpretation and interference will be emphasized. Prerequisite(s) : ECON 5640 or equivalent.
  • 3.00 Credits

    5660. Time Series Econometrics and Forecasting. 3 hours. Focuses on time series analysis and forecasting methodologies applied to problems typically encountered in economics, finance, and accounting. Topics include: AR, MA, and ARMA models; dynamic time series models; non-stationarity and tests for unit roots; ARCH and GARCH models; VAR models and impulse response functions; fractional integration and cointegration; and, error correction models. Computer applications will be used to reinforce the theoretical models. Usually offered spring semester. Prerequisite(s): ECON 5640 or consent of department.
  • 3.00 Credits

    5670. Empirical Econometrics. 3 hours. Analysis, interpretation and development of empirical applications of econometric estimation procedures with emphasis on the examination of real-world economic phenomena and a focus on applied procedures including: dummy variables and structural change, heteroskedasticity, autocorrelation, simultaneous equations and causality, logit, probit, Tobit and panel data. Prerequisite(s): ECON 5650. Usually offered fall semester.
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