Three Essays on Causality Approach to Modeling Long-term Economic Growth PDF Download
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Author: Piyachart Phiromswad
Publisher:
ISBN:
Category :
Languages : en
Pages : 822
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Book Description
Author: Piyachart Phiromswad
Publisher:
ISBN:
Category :
Languages : en
Pages : 822
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Book Description
Author: Yasser Abdih
Publisher:
ISBN:
Category :
Languages : en
Pages : 194
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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 568
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Book Description
Author: Fang Ge
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Steven M. Sheffrin
Publisher:
ISBN:
Category : Economic development
Languages : en
Pages : 50
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Book Description
Author: Shibeshi Ghebre Kahsay
Publisher:
ISBN:
Category : Capital movements
Languages : en
Pages : 298
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Book Description
Author: William A. Brock
Publisher: Edward Elgar Publishing
ISBN: 9781858988146
Category : Econometric models
Languages : en
Pages : 0
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Book Description
Essays by a leader in the field of economics, originally published as articles in various economic journals between 1972 and 1997, illustrate the power of dynamic modeling to shed light on the forces of stability and instability in economic systems. Themes are stochastic models and optimal growth, financial and macroeconomic modeling, nonlinearity in economics, and ecology, mechanism design, and regulation. Some subjects are asset prices in a production economy, the economics of regulatory tiering, and optimal economic growth and uncertainty. An introduction by Brock ties together the main aspects of his research to date. Brock teaches economics at the University of Wisconsin-Madison. Dechert teaches economics at the University of Houston. The book is not indexed by subject. Annotation copyrighted by Book News, Inc., Portland, OR
Author: Gernot Doppelhofer
Publisher:
ISBN:
Category :
Languages : en
Pages : 378
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Author: Patrice Whitely
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 350
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Book Description
Author: Judea Pearl
Publisher: Basic Books
ISBN: 0465097618
Category : Computers
Languages : en
Pages : 432
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Book Description
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.
