Bio
David Cheong is Adjunct Professor of International Economics
at SAIS Europe
Previously Professor Cheong worked as a Trade and Employment Specialist at the International Labour Organization, where he conducted research on the labor-market effects of trade and managed development-cooperation projects focused on this subject in several developing countries in South-East Asia, North and West Africa, and Central America. His long-standing engagement in academic and professional research on international trade has allowed him to gain a deep understanding of the international trading system and trade-related issues facing developing countries such as building productive capacity and enabling positive structural transformation. Professor Cheong has also worked as a consultant for the European Commission, USAID, the World Bank, and the Asian Development Bank, mainly providing evidence-based advisory services and policy recommendations on how to leverage trade opportunities for sustainable and inclusive development. Cheong holds a PhD in Economics from Brandeis University with a specialization in International Trade.
Courses
- Econometrics
Econometrics makes use of statistical methods to estimate economic relationships, test economic theories, and evaluate government and business policy. This course aims to provide the econometric tools to understand and conduct empirical research. The focus will be on the linear regression model, which we will cover in depth. We will also introduce panel data models and instrumental variable and two-stage least squares estimation. Wherever possible, we will make use of STATA statistical software to reinforce the theory.
Prerequisite: Statistics (waiver exam).
Offered Both Semesters
- Statistics for Data Analysis
Aim of the course is to introduce the basic statistical tools required to conduct and evaluate empirical research in economics and the social sciences. The topics that will be covered include descriptive statistics; Probability distributions; Confidence intervals; Significance tests; Association between categorical variables; Comparisons of two groups; Simple regression analysis; Multiple regression analysis. Special attention will be given to the application of these statistical tools to the analysis of real phenomena. In particular, in order to obtain a better understanding of the concepts taught in the lectures, an emphasis is placed on using software such as Excel and STATA. This course is a prerequisite for more advanced courses in econometrics.
Offered Both Semesters