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Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.
De la contraportada
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación2010
- ISBN 10 364207975X
- ISBN 13 9783642079757
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas376
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Macroeconomic Patterns and Stories
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Macroeconomic Patterns and Stories
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Condición: 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 . Nº de ref. del artículo: 5047029
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783642079757
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Macroeconomic Patterns and Stories
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783642079757
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ISBN 10: 364207975X
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783642079757
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