David Cheong

David Cheong, PhD

Adjunct Professor of International Economics

SAIS Europe
Bologna, Italy

Expertise

Regions
  • Asia
  • China
Topics
  • Economics
  • International Economics
  • International Trade Theory and Policy
Languages
  • French
  • Portuguese

Background and Education

Specialist in Trade and Employment, International Labour Office (ILO). Prior to the ILO, Professor Cheong was an Assistant Professor of International Economics at the Bologna campus of the School of Advanced International Studies, Johns Hopkins University. His research and teaching have been in the areas of International Trade Policy, Globalisation and Employment, Foreign Direct Investment, Migration, and Development. Cheong has consulted for the World Bank, USAID, the World Trade Organization (WTO), and the Asian Development Bank (ADB). PhD in economics and international finance, Brandeis University (U.S.); MA in economics, Boston University (US); MA in international relations, Leeds University (UK); BA in business administration, University of Macau (China); Diploma, Academy of International Trade Law, Institute of European Studies, Macao (China).

Publications
Author of several journal articles and papers on international trade and the economies of the Asia-Pacific region among them: "Labour law and trade policy: What implications for economic and human development?," with F. Christian Ebert, in Labour Regulation and Development, Edward Elgar Publishing (2016); "Fdi Effects Of Asean Integration," with M. Plummer in Region et Developpement, vol. 29, Universite du Sud - Toulon Var, and MPRA Paper, no. 26004, University Library of Munich, Germany (2009); "Methods for Ex Post Economic Evaluation of Free Trade Agreements," in Working Papers on Regional Economic Integration, vol. 59, Asian Development Bank (2010); "Methods for Ex Ante Economic Evaluation of Free Trade Agreements," in Working Papers on Regional Economic Integration, vol. 52, Asian Development Bank (2010).


2017-06-27 00:00:00 
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Summer 2017 
Aim of the cour...
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 elementary probability theory, sampling, estimation, hypothesis testing, correlation and regression. 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 concept taught in lectures, an emphasis is placed on using software such as Excel and STATA. This course is a prerequisite for more advanced courses in econometrics.