Courses
ECON 515
This course covers major contributions to mechanism design.
ECON 512
Departures from the standard assumptions: specification tests; a first look at time series; generalised regression; nonlinear regression; simultaneous equations, identification, instrumental variables. Extensions and applications: ML, GMM, VAR, GARCH, panel data.
ECON 508
Classical and Keynesian theories of cyclical fluctuations; real business cycle theory; determination of employment and real wages; credit markets and financial stability; stabilization policy.
ECON 504
Choice under uncertainty; game theory; mechanism design; principal-agent models.
ECON 500
To facilitate a swift transition from undergraduate to graduate training, the mathematical foundation that all students should have will be reviewed. Topics include: mathematical statements and proofs; functions; sequences and limits; continuity; differentiation; metric spaces; integration.
ECON 513
The focus of the course is the empirical applications and tests of macroeconomic and/or microeconomic theories. Students are provided with the ability to analyze the standard econometric applications.
ECON 509
The course includes topics such as the business cycle theory, dynamic stochastic general equilibrium models, models of unemployment with search, market efficiency and macroeconomic performance, and theories of long-run growth.
ECON 505
The course includes topics such as the game theory under perfect information, game theory under imperfect information, matching and mechanism design.
ECON 501
Covers selected topics in mathematics that are frequently used in economic theory and its applications. Topics include: introduction to optimization theory (existence of a solution, alternative characterizations of compactness, Weirestrass Theorem, convexity); convex sets, concave and quasi-concave functions; characterization of a solution, Lagrange and Kuhn-Tucker approaches; parametric continuity, correspondences and maximum theorem; parametric monotonicity, lattices, supermodularity; fixed point theorems.
ECON 495
ECON 514
This course covers theories and models that expand the horizons of game theory.
ECON 511
Review of probability and statistics: random variables, univariate and joint probability distributions, expectations; bivariate normal; sampling distributions; introduction to asymptotic theory; estimation; inference. Linear regression: conditional expectation function; multiple regression; classical regression model, inference and applications.
ECON 507
Long-term economic growth; overlapping generations models; consumption, saving, and investment; real interest rates and asset prices; money and inflation.
ECON 503
Consumer theory; production theory; general equilibrium and welfare.
ECON 499
Integration of the knowledge from different areas of the economics curriculum: microeconomics, macroeconomics, econometrics by applying concepts and frameworks to real life cases to formulate and implement creative and effective solutions to economic challenges; teamwork and presentations.