A study of economic factors causing fluctuations in aggregate economic activity and the methods of forecasting business activity.

Applied course that covers monetary economics, general macroeconomics conditions, financial markets, and forecasting techniques. Topics include the determination of national income, the roles of the monetary sector and financial markets, expectations, and business cycles. A description of formal and informal forecasting techniques in common use by financial market participants will be included.

Calculus, matrix algebra, mathematical statistics to understand basic economic models and applications and the fundamentals of econometric analysis. The intent of this course is to provide and develop the tools the students will need to engage in applied economic analysis and that will be used in subsequent courses in the MS in Economics Program.

This course covers essential microeconomic models and issues for the advanced applied economist and is the foundational course for the microeconomics in the applied track of the MS in economics program. The focus is on topics and methods most frequently used and relied upon in applied business and policy problems. By doing so, the course will prepare students for subsequent coursework for the applied MS track. Additionally, it will strive for students to gain strong intuitive skills regarding how to approach applied economics problems and their related empirical applications.

An applied analysis of macroeconomic conditions useful to a professional business economist is presented. Emphasis is on blending mainstream economic models of the economy with data to interpret current conditions, prospects for future conditions, and monetary and fiscal policies that influence these conditions.

This course examines a variety of topics in applied econometrics. The course begins with a review of the classic linear regression model and ordinary least squares estimation. The primary focus of the class is to examine how estimation can be done when the classic model doesn't apply. Topics include endogenous regressors and instrumental variables, limited dependent variables models and maximum likelihood estimation, unobserved heterogeneity and panel data methods.

This course is an introduction to the use and application of modern analytical modeling for supporting decision making in business. It explores the use of analytical models and technologies including descriptive modeling, data mining, machine learning, and predictive modeling. It also examines a variety of topics in applied regression analysis, including linear and complex models. Emphasis is on business applications of analytical models.

This course provides students with an overview of modern techniques in the forecast of time series used in a variety of applications in the private and public sectors including revenue and sales forecasting. Asan applied course the techniques will be motivated by specific practical problems and will be put to use in forecasting practices. The course covers auto-regressive and moving average models, distributed lag models, forecasting, Vector Auto-Regression, unit roots and testing, and auto-regressive conditional heteroskedasticity.

ECO 631 studies the economics of organizations and the economics of strategy. The first half of the course applies transactions costs and principal-agent theories to study the internal organization of the firm. Topics to be covered include the boundaries of the firm, corporate governance, choice of production process, and internal incentive systems. The second half of the course applies economic tools to the analysis of firm strategy.

This course applies general theoretical principles of economics to the health care sector. The basic approach is to recognize the importance of scarcity and incentives, allowing for differences peculiar to health. The demand and supply of health and medical care are examined as they involve physicians, nurses and hospitals. The competitiveness of their markets, health insurance and the role of government are explored. Special topics include regulation and planning, benefit-cost analysis, and reform health plans.