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.
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.
Consumer theory; production theory; general equilibrium and welfare.
Choice under uncertainty; game theory; mechanism design; principal-agent models.
The course includes topics such as the game theory under perfect information, game theory under imperfect information, matching and mechanism design.
Long-term economic growth; overlapping generations models; consumption, saving, and investment; real interest rates and asset prices; money and inflation.
Classical and Keynesian theories of cyclical fluctuations; real business cycle theory; determination of employment and real wages; credit markets and financial stability; stabilization policy.
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.
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.
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.
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.
This course covers theories and models that expand the horizons of game theory.
This course covers major contributions to mechanism design.
This course aims to examine the relationship between law and economic and behavioral approaches and to provide understanding of models and conceptual frameworks.
This course is about international trade theory and its policy aspects. It includes the Ricardian, Hecksher-Ohlin, specific factors and monopolistic competition trade models. It also includes topics on international competitiveness and development, protectionist policies and their welfare effects as well as the political economy of international trade.
This course examines macroeconomic theories of open economies, covering economic fluctuations in open economies, business cycle models, the effects of interest rate and terms of trade shocks on open economies, excessive borrowing, government debt stock and growth.
This course is a first course of a two-course introduction to modern theories of corporate finance. Beginning with the neoclassical and tradeoff models, the course continues with agency problems and asymmetric information. By the end of the two-course sequence, students will have a working knowledge of the main tools of corporate finance research, and be equipped to begin independent research.
This course is a first course of a two-course introduction to modern theories of corporate finance. It focuses on a select group of current topics, including diversification, mergers and acquisitions, executive compensation, financial development, corporate governance, and politics and finance. By the end of the two-course sequence, students will have a working knowledge of the main tools of corporate finance research, and be equipped to begin independent research.
This course is devoted to the analysis of theoretical asset pricing models. Among the topics included are the predictability of return and cash flows in the stock, bond, foreign exchange and real estate markets.
This course covers the empirical asset pricing models, focusing on the predictability of return and cash flows in the stock, bond, foreign exchange and real estate markets. Econometric methods developed for testing the models will be analyzed in detail.
Weekly departmental seminars and student presentations in their research areas.
Writing a scientific paper for publication requires skills that are different than writing a thesis or dissertation. This course focuses on issues including formulation of the research question, articulation of the theoretical foundation, explanation of the research methodology, description and critical discussion of the findings. The course will also present the key points in selecting the right outlet for publication, submitting the paper, and addressing the reviewers? comment in the revision.