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Diego Comin

Diego Comin is a Professor of Economics at Dartmouth since 2014. He received his B.A. in Economics in 1995 from the University Pompeu Fabra, Barcelona, Spain and his PhD in Economics from Harvard University in 2000. Between 2000 and 2007, Comin has been Assistant Professor of Economics at New York University. Between 2007 and 2014, Comin has been Associate Professor of Business Administration at the Harvard Business School (HBS) where he taught both in the MBA and in executive programs. He has also designed and led immersion programs in Peru and Malaysia for which he received the Apgar Prize for Innovation in Teaching from the HBS Dean.

Comin is Research Fellow at the Center for Economic Policy Research and Faculty Research Fellow in the National Bureau of Economic Research's Economic Fluctuations and Growth Program. Comin is a fellow for the Institute of New Economic Thinking (INET) and his work has been supported by the Gates foundation, the National Science Foundation, the C.V. Star Foundation, and the Zentrum für Europäische Wirtschaftsforschung (ZEW). Comin is advising the Prime Minister of Malaysia on its development strategies and has consulted for the World Bank, IMF, Federal Reserve Bank of New York, Citibank, Danish Science Ministry, and the Economic and Social Research Institute (ESRI) of the government of Japan.

Comin works on macroeconomics broadly understood. Part of his research consists of studying the process of technological change and technology diffusion both across countries and over time. A second avenue of Comin's work studies the sources and propagation mechanisms of fluctuations at high and medium term frequencies. A third line of research pursued by Comin has explored the evolution of firm dynamics and their implications for the evolution of the US economy. His work has been published in academic journals, including the American Economic Review, the American Economic Journal, the Journal of Monetary Economics, the Review of Economics and Statistics and the Journal of Economic Growth.

Comin has written the book Malaysia Beyond 2020 where he presents a new approach to development policy that aims to create a knowledge-friendly eco-system where companies can move up in the value chain.

Malaysia Beyond 2020

During more than a decade, the Malaysian economy has showed signs of fatigue that indicate that productive opportunities are diminishing. What is causing the slowdown? Can the government do something about it? Are the lessons from Malaysia applicable to other emerging and advanced economies? This book presents a new analytical framework to explore these questions. The diagnostic is that the main root cause of the economic slowdown is the scarcity of technological knowledge by Malaysian companies. Solving this problem requires a new approach to policy-making that recognizes the importance of managing knowledge in society to create a knowledge friendly ecosystem where knowledge is created and allocated efficiently. A detail guide is provided about how to attain such an ecosystem starting from the current environment in Malaysia.

Buy it here:  link

Mapping Patterns of Technological Adoption Across Countries

Presentation at the New Champions Meeting, World Economic Forum, Dalian 2013.


Hotel Survey

Survey directed to managers in the hotel industry to assess the factors that affect development and operation of hotels. If you're a hotel manager, I would appreciate that you take five minutes to fill it.


My Data Sets

CHAT. The cross-country historical adoption (chat) dataset is an unbalanced panel dataset with information on the adoption of over 100 technologies in more than 150 countries since 1800. We discuss the main aim of CHAT, its scope and limitations, as well as several ways in which we have used the data so far and ways to potentially use the data for other research.


Primitive Technology. The primitive technology dataset measures at three points in history the presence of specific technologies in the territories that correspond to modern day countries. The periods covered are 1000 B.C., 0 A.D. and 1500 A.D. (i.e. right before the colonization). The technologies in the data set cover five wide sectors: agriculture, transportation, communication, military and industry.

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