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.
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.
An overview of Turkey's political economy in the light of the broader debates in political economy; Turkish development experience in historical and comparative perspective; Turkish neo-liberalism in retrospect; the impact of globalization and regionalization; crises and relations with the IMF and the USA; foreign direct investment and Turkey?s external economic relations with special reference to the EU; State-society relations and income distribution issues.
The use of laboratory and field experiments as a data collection method for understanding economic decisions and testing economic theories; how to design a good and valid economics experiment, the methodology of experimental design. The topics that will be studied theoretically and experimentally in the course include decision-making under risk and uncertainty, decision-making over time and related psychological phenomena/biases, market experiments, bargaining experiments, social preferences, fairness and altruism, incentive schemes and motivation, gender and economic decisions.