Understanding Business Dynamics : An Integrated Data System for America's Future
Book Details
Format
Paperback / Softback
ISBN-10
0309104920
ISBN-13
9780309104920
Publisher
National Academies Press
Imprint
National Academies Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
Apr 5th, 2007
Print length
200 Pages
Weight
301 grams
Dimensions
22.90 x 15.20 x 2.50 cms
Product Classification:
Computing & information technologyComputing and Information Technology
Ksh 10,100.00
Publisher Out of Stock
0 in stock
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Quality
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Presents strategies for improving the accuracy, timeliness, coverage, and integration of data that are used in constructing aggregate economic statistics. This book also presents analysis of topics ranging from job creation and destruction and firm entry and exit to innovation and productivity.
The U.S. economy is highly dynamic: businesses open and close, workers switch jobs and start new enterprises, and innovative technologies redefine the workplace and enhance productivity. With globalization markets have also become more interconnected. Measuring business activity in this rapidly evolving environment increasingly requires tracking complex interactions among firms, establishments, employers, and employees. Understanding Business Dynamics presents strategies for improving the accuracy, timeliness, coverage, and integration of data that are used in constructing aggregate economic statistics, as well as in microlevel analyses of topics ranging from job creation and destruction and firm entry and exit to innovation and productivity. This book offers recommendations that could be enacted by federal statistical agencies to modernize the measurement of business dynamics, particularly the production of information on small and young firms that can have a disproportionately large impact in rapidly expanding economic sectors. It also outlines the need for effective coordination of existing survey and administrative data sources, which is essential to improving the depth and coverage of business data.
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