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.

The course includes topics such as the game theory under perfect information, game theory under imperfect information, matching and mechanism design.

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.

Classical and Keynesian theories of cyclical fluctuations; real business cycle theory; determination of employment and real wages; credit markets and financial stability; stabilization policy.

Choice under uncertainty; game theory; mechanism design; principal-agent models.

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.