Joshua Gans
The Pandemic Information Gap
The Brutal Economics of COVID-19
Ebook (EPUB Format)
Why solving the information problem should be at the core of our pandemic response: essential reading about the long-term implications of our current crisis.COVID-19 is caused by a virus. The COVID-19 pandemic is caused by a lack of good information. A pandemic is essentially an information problem: this is the enlightening and provocative idea at the heart of this book. If we solve the information problem, argues economist Joshua Gans, we can defeat the virus. For example, when we don't know who is infected, we have to act as if everyone is infected. If we actively manage the information problem--if we know who is infected and with whom they…
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Beschreibung
Why solving the information problem should be at the core of our pandemic response: essential reading about the long-term implications of our current crisis.COVID-19 is caused by a virus. The COVID-19 pandemic is caused by a lack of good information. A pandemic is essentially an information problem: this is the enlightening and provocative idea at the heart of this book. If we solve the information problem, argues economist Joshua Gans, we can defeat the virus. For example, when we don't know who is infected, we have to act as if everyone is infected. If we actively manage the information problem--if we know who is infected and with whom they had contact--we can suppress the virus or buy time for vaccine development.This is an expanded version of an eBook originally published as Economics in the Age of COVID-19.
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Produktdetails
- ISBN: 978-0-262-36281-8
- EAN: 9780262362818
- Produktnummer: 33841869
- Verlag: MIT Press
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 160 S.
- Plattform: EPUB
- Masse: 422 KB
Über den Autor
Joshua Gans is Professor of Strategic Management and holds the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at the University of Toronto's Rotman School of Management. He is the author of The Disruption Dilemma (MIT Press), Prediction Machines, and other books, and coauthor of Innovation + Equality (MIT Press).
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