COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
This course explores the basic theories regarding the economics of money, banking, and financial markets. Topics include why money is needed; the monetary system and financial system; how money be should managed; and what kind of financial system is best.
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
This course discusses transformations in the governance of global trade. It examines tensions between multilateralism and bilateralism in global trade, reconfiguration of the WTO, and the role and protagonism of the EU and other key actors.
COURSE DETAIL
This course provides an introduction to models of international trade and their predictions of trade patterns, with some consideration of empirical studies and policy issues. The course introduces students to classical and new theories of international trade; uses examples and empirical evidence to introduce students to the methods most commonly used in the economic analysis of international trade; and enables students to engage with trade theory in a critical manner, understanding the arguments used both in favor and against trade liberalization.
COURSE DETAIL
The goal of this course is in introducing popular skills for analyzing economic data. We attempt to achieve this goal by getting familiar with the well-known econometric analyses and linking this to the knowledge on the numerical outputs generated by standard statistical packages. In attaining this goal, our interests will be focused more on cross-sectional data and their slight extensions. There are two reasons for this focus. First, analysis of cross-sectional data is a building bloc for the analysis of many other data sets. Second, the analysis of cross-sectional data is easier than analyzing other data sets as they do not involve too much complication that comes from the variation assumptions. Eventually, by these, studying cross-sectional data becomes a good starting point for achieving the specified objectives, even though their applicability is not so limited. After completing this course, students are expected to be able to conduct the following: Understanding the implicit assumptions behind economic data analysis; Interpreting the numerical outputs generated by standard statistical packages.
Prerequisite: Mathematics for economics and statistics; Recommended: Mathematical statistics.
COURSE DETAIL
This course aims to provide basic mathematical concepts that have been widely used in economics. Topics include feasibility (Farkas Lemma), convex sets, linear programming, and non-linear programming. Economic applications are discussed throughout the course in order to illustrate how mathematics is used in economic theory.
Prerequisite: Mathematics for Economics I, Microeconomics
COURSE DETAIL
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