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This book offers the wisdom and insight regarding the US economy from a well-known and distinguished econometrician who found himself first teaching macro economics to MBAs and then directing the highly regarded and widely quoted UCLA/Anderson Forecast, which provides quarterly forecasts for the US economy. Edward Leamer argues that, "We are pattern-seeking story-telling animals." He provides in this book the patterns and stories that are the basis for his understanding of what determines the business cycle and what determines long-run economic growth.
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This book offers the wisdom and insight regarding the US economy from a well-known and distinguished econometrician who found himself first teaching macro economics to MBAs and then Directing the highly-regarded and widely-quoted UCLA/Anderson Forecast which provides quarterly forecasts for the US economy. Edward Leamer argues that "We are pattern-seeking story-telling animals." He provides in this book the patterns and stories that are the basis for his understanding of what determines the business cycle and what determines long-run economic growth.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Macroeconomic Patterns and Stories
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Springer Berlin / Heidelberg, 2010
ISBN 10: 364207975X
ISBN 13: 9783642079757
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Prof. Leamer is the director of UCLA Anderson Forecast, the leading independent forecast providing insight to Decision Makers in Business, Academia, and Government We are pattern-seeking, story-telling animals is the motto of this refreshing and . Codice articolo 5047029
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Macroeconomic Patterns and Stories
ISBN 10: 364207975X
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Paperback. Condizione: Good. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Softcover reprint of hardcover 1st ed. 2009. Codice articolo 364207975X-11-1
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Macroeconomic Patterns and Stories
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Springer Berlin Heidelberg Okt 2010, 2010
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ISBN 13: 9783642079757
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The story of this book began with my dif cult transition from teaching international economics and econometrics in Economics Ph. D. programs at Harvard and UCLA to teaching in the MBA programs at the Anderson School at UCLA. On the basis of 20 years of apparent teaching success in Ph. D. education, I arrived at the Anderson School in 1990 with a self-image as a star teacher, but I was greeted with highly disturbingmediocreteachingevaluations. Facedwithadatasetthatwasinconsistent with my view of reality, I did what analysts usually do - I formulated a theory why the data were misleading. Here is how I thought about it. Two aspects of the course - content and amu- ment - drive numerical course evaluations. If you rank courses by the average of the content score and the amusement score, then the component that can be measured most accurately will determine the ranking. Do you understand why It is what - eraging does: it eliminates the noise. Suppose, for example, that a student cannot tell anything about the content, and the content score is simply a random number, varying from student to student. Those random numbers will average out across students to about the same number for each course. As the average course content score is about the same for every course, it is the amusement score that will drive the rankings. 376 pp. Englisch. Codice articolo 9783642079757
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The story of this book began with my dif cult transition from teaching international economics and econometrics in Economics Ph. D. programs at Harvard and UCLA to teaching in the MBA programs at the Anderson School at UCLA. On the basis of 20 years of apparent teaching success in Ph. D. education, I arrived at the Anderson School in 1990 with a self-image as a star teacher, but I was greeted with highly disturbingmediocreteachingevaluations. Facedwithadatasetthatwasinconsistent with my view of reality, I did what analysts usually do - I formulated a theory why the data were misleading. Here is how I thought about it. Two aspects of the course - content and amu- ment - drive numerical course evaluations. If you rank courses by the average of the content score and the amusement score, then the component that can be measured most accurately will determine the ranking. Do you understand why It is what - eraging does: it eliminates the noise. Suppose, for example, that a student cannot tell anything about the content, and the content score is simply a random number, varying from student to student. Those random numbers will average out across students to about the same number for each course. As the average course content score is about the same for every course, it is the amusement score that will drive the rankings. Codice articolo 9783642079757
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Taschenbuch. Condizione: Neu. Neuware -The story of this book began with my dif cult transition from teaching international economics and econometrics in Economics Ph. D. programs at Harvard and UCLA to teaching in the MBA programs at the Anderson School at UCLA. On the basis of 20 years of apparent teaching success in Ph. D. education, I arrived at the Anderson School in 1990 with a self-image as a star teacher, but I was greeted with highly disturbingmediocreteachingevaluations. Facedwithadatasetthatwasinconsistent with my view of reality, I did what analysts usually do ¿ I formulated a theory why the data were misleading. Here is how I thought about it. Two aspects of the course ¿ content and amu- ment ¿ drive numerical course evaluations. If you rank courses by the average of the content score and the amusement score, then the component that can be measured most accurately will determine the ranking. Do you understand why It is what - eraging does: it eliminates the noise. Suppose, for example, that a student cannot tell anything about the content, and the content score is simply a random number, varying from student to student. Those random numbers will average out across students to about the same number for each course. As the average course content score is about the same for every course, it is the amusement score that will drive the rankings.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 376 pp. Englisch. Codice articolo 9783642079757
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