Online MS in Applied Economics Curriculum

In this class we will develop models that help us explain the behavior and structure of the economy in the short and long run. These models will provide a set of tools to understand the determinants of gross domestic product, inflation and unemployment and the effects of monetary and fiscal policies on these variables. Upon completion of this course, you should be able to analyze the economic effects of government policies and identify and interpret key macroeconomic indicators.

This course is an introduction to the fundamental aspects of empirical economic research. You will learn key concepts related to sampling, descriptive statistics, probability theory and application, confidence intervals, hypothesis testing, and regression analysis. You will have the opportunity to use EXCEL and STATA to apply these concepts to actual data.

This class presents economic models of antitrust and regulation. The course is divided into roughly three sections: the economics of imperfect and competitive markets, the regulation of these imperfect competitive markets in the context of antitrust law, and the regulation of markets with regard to social policy goals.

Focuses on the measurement and analysis of business cycles and other relevant macroeconomic data. Leading indicators are used as forecasting tools to predict when economies move from expansion to recessions and vice versa. Focus is on important economic indicators and data, such as price indexes, deflation, and seasonal adjustment. How can these indicators be applied and interpreted to understand short term trends? How can they assist in economic and business making?

This course is a study of empirical techniques that are particularly relevant to the analysis of microeconomic models. The first half of this course will deal with practical solutions to dealing with variables that are not considered exogenous. In the second half we will first address empirical techniques that take into account dependent variables that are not necessarily continuous (or normally distributed) and other deviations from more basic OLS regressions. We will finish up with an introduction to Time Series Analysis and its underlying assumptions.

Decision theory and criteria for decision making concerning output, pricing, capital budgeting, scale of operation, investment and inventory control. Attention also given to concepts of profits, production and cost functions.

This course applies economic theories and econometric techniques to the study of financial markets. Students will learn the interaction between the real economy and the financial markets. Upon completion of this course, you should be able to apply economic theory in the context of financial markets and become familiar with sources of data and financial institutions.

Covers the statistical tools needed to understand empirical economic research and to plan and execute independent research projects. Topics include an in-depth coverage of endogeneity, panel data, instrumental variables, simultaneous equations models, difference-in-differences and evaluation of government policies and programs.

Teaches estimation, testing and forecasting time series models; covers univariate and multivariate time series with topics including ARIMA models, volatility models, unit roots, spurious regression, cointegration, VAR models and Granger Casualty; emphasis on practical financial and economic applications. These tools are used in finance to measure risk, dynamic portfolio selection, and risk control.