image_of_diego

Diego.Comin@dartmouth.edu (603) 646-2531
(617) 588-1428

Areas of Interest

  • Macroeconomics
  • Technology
  • Innovation
  • Economic Development
  • International economics
  • Tourism

Industries

  • Government
  • Tourism & Hotels
  • Manufacturing
  • Education
  • Agriculture
  • Business Services

Geographies

  • Europe
  • Japan
  • Malaysia
  • Mexico
  • Peru
  • South America
  • Southeast Asia
  • Spain
  • United States

Diego Comin


Diego Comin is a Professor of Economics at Dartmouth College. He is also 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).

Professor Comin has published multiple articles in top economic journals on the topics of business cycles, technology diffusion, economic growth and firm volatility. He has also authored cases studies published in the book Drivers of Competitiveness. Comin’s research has been supported by the Gates foundation, the National Science Foundation, the C.V. Star Foundation, the INET foundation and the Zentrum für Europäische Wirtschaftsforschung (ZEW).

Comin advised during two years the Prime Minister of Malaysia on its development strategies and led the creation of the Malaysian Public-Private Research Network (PPRN), a public institution that provided solutions to companies’ technological problems by matching them with researchers that were experts in the relevant field.

Comin has developed macroeconomic models of technology and business cycles for the design of policies at the European Central Bank (ECB), the European Commission (EU). Additionally, he 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. Recently, Microsoft has used the models of technology diffusion developed in Comin and Hobijn (2010) to forecast the diffusion of their cloud services.

Professor Comin received his PhD in Economics from Harvard University in 2000. Since then, he has been Assistant Professor of Economics at New York University and 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.




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.

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Mapping Patterns of Technological Adoption Across Countries

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

PRESENTATION BY MALAYSIA IXP TO PM NAJIB

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.

Survey

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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