Improved Statistics for Economic Growth PDF Download

Author: United States. Congress. Economic Joint Committee
Publisher:
ISBN:
Category :
Languages : en
Pages : 164

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Book Description

Author: United States. Congress. Joint Economic Committee. Subcommittee on Economic Statistics
Publisher:
ISBN:
Category : Economic development
Languages : en
Pages : 154

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Book Description

Author: United States. Congress. Joint Economic Committee. Subcommittee on Economic Statistics
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 92

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Book Description

Author: United States. Congress. Joint Economic Committee. Subcommittee on Economic Statistics
Publisher:
ISBN:
Category : Economic development
Languages : en
Pages : 25

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Book Description

Author: Michael J. Boskin
Publisher: Hoover Press
ISBN: 9780817959135
Category :
Languages : en
Pages : 40

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Book Description
Presents the full text of the essay entitled "Some Thoughts on Improving Economic Statistics," by Michael J. Boskin. Discusses the importance of economic statistics in the Information Age, the implications of the Information economy, and the statistics to be affected.

Author: United States. Congress. Senate. Committee on Governmental Affairs. Subcommittee on Government Information and Regulation
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 88

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Book Description

Author: Edward Denison
Publisher: Brookings Institution Press
ISBN: 9780815719755
Category : Business & Economics
Languages : en
Pages : 172

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Book Description
The growth rate of national income has fluctuated widely in the United States since 1929. In this volume, Edward F. Denison uses the growth accounting methodology he pioneered and refined in earlier studies to track changes in the trend of output and its determinants. At every step he systematically distinguishes changes in the economy’s ability to produce—as measured by his series on potential national income—from changes in the ratio of actual output to potential output. Using data for earlier years as a backdrop, Denison focuses on the dramatic decline in the growth of potential national income that started in 1974 and was further accentuated beginning in 1980, and on the pronounced decline from business cycle to business cycle in the average ratio of actual to potential output, a slide under way since 1969. The decline in growth rates has been especially pronounced in national income per person employed and other productivity measures as growth of total output has slowed despite a sharp acceleration in growth of employment and total hours at work. Denison organizes his discussion around eight table that divide 1929-82 into three long periods (the last, 1973-82) and seven shorter periods (the most recent, 1973-79 and 1979-82). These tables provide estimates of the sources of growth for eight output measures in each period. Denison stresses that the 1973-82 period of slow growth in unfinished. He observes no improvement in the productivity trend, only a weak cyclical recovery from a 1982 low. Sources-of-growth tables isolate the contributions made to growth between “input” and “output per unit of input.” Even so, it is not possible to quantify separately the contribution of all determinants, and Denison evaluates qualitatively the effects of other developments on the productivity slowdown.

Author: Ross Levine
Publisher: World Bank Publications
ISBN:
Category : Crecimiento economico
Languages : en
Pages : 59

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Book Description
The design, implementation, and interpretation of cross- country investigations should be improved. This review of conceptual, methodological, and statistical weaknesses in cross- country studies suggests that existing findings warrant only limited confidence.

Author: Jack E. Triplett
Publisher: Rowman & Littlefield
ISBN: 0815796633
Category : Business & Economics
Languages : en
Pages : 418

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Book Description
The services industries—which include jobs ranging from flipping hamburgers to providing investment advice—can no longer be characterized, as they have in the past, as a stagnant sector marked by low productivity growth. They have emerged as one of the most dynamic and innovative segments of the U.S. economy, now accounting for more than three-quarters of gross domestic product. During the 1990s, 19 million additional jobs were created in this sector, while growth was stagnant in the goods-producing sector. Here, Jack Triplett and Barry Bosworth analyze services sector productivity, demonstrating that fundamental changes have taken place in this sector of the U.S. economy. They show that growth in the services industries fueled the post-1995 expansion in the U.S. productivity and assess the role of information technology in transforming and accelerating services productivity. In addition to their findings for the services sector as a whole, they include separate chapters for a diverse range of industries within the sector, including transportation and communications, wholesale and retail trade, and finance and insurance. The authors also examine productivity measurement issues, chiefly statistical methods for measuring services industry output. They highlight the importance of making improvements within the U.S. statistical system to provide the more accurate and relevant measures essential for analyzing productivity and economic growth.

Author: Edward E. Leamer
Publisher: Springer Science & Business Media
ISBN: 3540463895
Category : Business & Economics
Languages : en
Pages : 360

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Book Description
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.