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  • Book
  • © 2009

Macroeconomic Patterns and Stories

Authors:

  • 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 comprehensive guide to MBA students
  • Includes supplementary material: sn.pub/extras

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Table of contents (20 chapters)

  1. Front Matter

    Pages i-xvi
  2. Introduction

  3. Four Key Variables: Growth, Unemployment, Inflation and Interest Rates

    1. Gross Domestic Product

      • Edward E. Leamer
      Pages 19-38
    2. The Components of GDP: C+I+G+X−M

      • Edward E. Leamer
      Pages 39-50
    3. Employment

      • Edward E. Leamer
      Pages 51-64
    4. Inflation and Interest Rates

      • Edward E. Leamer
      Pages 65-90
    5. Extrapolative Forecasting

      • Edward E. Leamer
      Pages 91-100
  4. A Recession Symptoms

    1. Unwanted Idleness: Recessions and Recoveries

      • Edward E. Leamer
      Pages 103-110
    2. Recession Comparison Charts

      • Edward E. Leamer
      Pages 111-122
    3. Who Struggles and Who Does Well in Recessions?

      • Edward E. Leamer
      Pages 123-135
  5. B Recession Stories

    1. Idleness Stories

      • Edward E. Leamer
      Pages 139-153
    2. Cycle Stories

      • Edward E. Leamer
      Pages 155-171
  6. C Recession Early Warning Signs

    1. Clues: Temporal Ordering of Components of GDP

      • Edward E. Leamer
      Pages 175-202
  7. D Recession Causes

    1. In Search of Recession Causes

      • Edward E. Leamer
      Pages 231-259
  8. Expansions: With and Without Spurts

  9. The Longer Run: Savings, Investment, Government Borrowing, Foreign Lending and Your Home

    1. Savings and Investment

      • Edward E. Leamer
      Pages 283-297
    2. Government

      • Edward E. Leamer
      Pages 299-312

About this book

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.

Authors and Affiliations

  • Anderson School of Management Global Economics & Management Area, University of California, UCLA, Los Angeles, USA

    Edward E. Leamer

Bibliographic Information

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access