The M.A. in Applied Economics is a 30-credit program that prepares you to advance in the field. To earn this degree, you will complete the Summer Math Camp, four core courses and six elective courses.
This course covers elements of modern microeconomics, emphasizing the development of the skills needed to evaluate the new generation of economic models, tools and ideas as they apply to recent changes in our economy. You’ll be introduced to basic tools of game theory, asymmetric information and modern general equilibrium price formation. You’ll apply what you learn to various topics, including consumer and producer choice, decision under uncertainty, and resource allocation under different market structures such as competition, monopoly and oligopoly. The course also touches on the impact of spillovers and network externalities in the information economy, and psychological and behavioral factors in individual decision-making.
This course bridges the gap between undergraduate macroeconomics courses and more advanced presentations of research articles, policy-oriented analyses and graduate textbooks. You’ll learn about standard models of how output, employment and the price level are determined. The course also discusses the role of fiscal and monetary policies, as well as selected topics from international macroeconomics. You’ll start with a brief discussion of macroeconomic aggregates and their measurement in practice, but the main focus of the course is analytical. You’ll learn standard analytical models to address two broadly distinct topics:
Macroeconomic performance and growth in the long run.
Short-run (business-cycle) fluctuations and fiscal and monetary policies to help smooth those fluctuations.
This course teaches you to apply statistical, econometric and programming methods to analyze economic data. Econometric techniques are widely used in business, government and academia to analyze markets, generate predictions from past data, assess the impact of economic policies and test economic theories. A solid understanding of econometrics is highly valued by employers across many fields. You’ll learn the theoretical foundations of data analysis and econometrics, and explore the mathematical justification for the key methods and the assumptions under which those methods are valid.
This core course in data analysis teaches you how to apply statistical, econometric and programming methods to analyze economic data. It is closely related to ECON 5553: Econometrics. Econometric techniques are widely used in business, government and academia to study markets, generate predictions from historical data, evaluate the effects of economic policies and test economic theories. A solid understanding of econometrics and, above all, the ability to apply its concepts to real data is highly valued by employers across many sectors. This course focuses on closing the gap between theoretical concepts and hands-on data analysis. Whereas ECON 5553 focuses on econometric concepts and theory, ECON 5554 focuses on the practical aspects of working with data. The course is organized into four main modules: an introduction to data analysis, descriptive data analysis, causal data analysis and predictive data analytics. You will develop a strong facility with the Stata econometrics package.
Some areas of focus
Statistical and econometrics methods
Use of econometric packages for policy evaluation
Electives
Our department offers a wide variety of elective courses from which you will choose. You must complete six economics elective courses to earn the M.A. in Applied Economics.
Sample economics electives
This is a selection of electives we have previously offered. Elective offerings are subject to change from year to year.
Join us at Georgetown University and become part of a focused program designed to equip you with the practical skills you need to accelerate your career growth.
Thank you for your interest in the M.A. in Applied Economics program. Please complete this form and we will contact you with more information.
