Учебные программы

Курс представляет основные методы, используемые в эконометрическом анализе.

Lectures written for a first-year Ph.D. course in econometrics.

This course will introduce econometric analysis of linear models, both theory and application.

Курс по эконометрике для студентов первого года обучения.

This is a basic course in econometrics designed to provide students with the tools required to evaluate and to carry out empirical research.

This course covers linear regression, generalized least squares, generalized method of moments, simultaneous equations, and Kalman filtering, among other topics.

To teach the student how to think about econometric estimation and testing strategies for linear and nonlinear regression frameworks.

Курс "Экономический анализ. Макроэкономика" читается на втором курсе Университета Калифорнии в Беркли. Основными учебниками курса являются:
Dornbusch, Rudiger; Fischer, Stanley; and Startz, Richard. Macroeconomics. 8th edition. McGraw-Hill, Inc., 2001. и
DeLong, J. Bradford. Macroeconomics. 1st edition. McGraw-Hill, Inc., 2002

Требования курса: "Введение в Микроэкономику" и "Введение в Макроэкономику", курс высшей математики на уровне 1 курса университета.
Основные темы курса: IS-LM, AD-AS, открытая макроэкономика, макроэкономическая политика.

Представлены программа курса и методические материалы (лекции) по курсу David D. Friedman "Economic Analysis of Law" (Santa Clara University). Программа включает содержание курса, списки основной и дополнительной литературы.

This course covers the questions of externalies, insurance, strategic behavior and property rights.

This course seeks to illustrate the complexity of decision making in a nonprofit organization and to show how microeconomic analysis in general, and labor market analysis in particular, can be usefully applied to analyze resource allocation decisions in universities. It also discusses why actual decision-making at universities may often appear to ignore economic forces.

Game Theory is a misnomer for Multiperson Decision Theory, the analysis of situations in which payoffs to agents depend on the behavior of other agents. It involves the analysis of conflict, cooperation, and (tacit) communication. Game theory has applications in several fields, such as economics, politics, law, biology, and computer science. In this course, I will introduce the basic tools of game theoretic analysis. In the process, I will outline some of the many applications of game theory, primarily in economics and political science. Game Theory has emerged as a branch of mathematics and is still quite mathematical. Our emphasis will be on the conceptual analysis, keeping the level of math to a minimum, especially at a level that should be quite acceptable to the average MIT student. Yet bear in mind that this still implies that you should be at ease with basic probability theory and calculus, and more importantly, you should be used to thinking in mathematical terms. Intermediate Microeconomics is also a prerequisite (simultaneous attendance to one of the intermediate courses is also acceptable). In any case, if you are taking this course, you should be prepared to work hard.

This course rates the interrelations between legal and economic processes, evaluates the role of government in these processes

This course provides an introduction to labor economics. Students will learn the microeconomic models used by economists to understand the behavior of workers and firms. The course will cover the basics labor demand, labor supply, human capital, wage determination, unions as well as some additional topics including household production, matching, altruism, and bargaining.