Standard Industrial Classification Manual PDF Download
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Author: United States. Bureau of the Budget
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: United States. Bureau of the Budget
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: United States. Social Security Board. Committee on Industrial Classification Practices
Publisher:
ISBN:
Category : Industries
Languages : en
Pages : 0
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Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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Book Description
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
Author: United States. Social Security Board. Committee on Industrial Classification Practices
Publisher:
ISBN:
Category : Industries
Languages : en
Pages : 168
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Author: United States Government Printing Office
Publisher:
ISBN: 9780160043291
Category :
Languages : en
Pages : 0
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Author: Jennifer C. Boettcher
Publisher: Bloomsbury Publishing USA
ISBN: 0313059179
Category : Business & Economics
Languages : en
Pages : 324
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Book Description
Many business researchers, from novice to expert, have been amazed to find that the answers to their questions could be found in the Economic Censuses provided by the U.S. government. Until now, there have been no comprehensive guides to this valuable resource. Industry Research Using the Economic Census explains Census concepts, methods, terminology, and data sources in an understandable manner, and assists Census users in locating needed Census data. Designed as a working handbook, it does not duplicate the data from the census, but introduces users to the features, uses, and formats of the data. This guidebook also discusses the important changes that the 1997 and 2002 Economic Censuses introduced from previous versions. Librarians, businesspeople, researchers, faculty, and students will find this guide valuable for mining the riches found in the Economic Censuses.
Author: United States. Committee on Standard Industrial Classification Interpretation and Code Assignment
Publisher:
ISBN:
Category : Commercial products
Languages : en
Pages : 36
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Book Description
Author:
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 716
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Every identifiable industry in the U.S. is organized into a major category of related industries and given a specific code number. These codes are called Standard Industrial Classification codes and this manual contains them all. The codes relate to an organizational system used by many professionals such as bankers, accountants, economists, and many more.
Author:
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ISBN:
Category : Commercial products
Languages : en
Pages :
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Author: U. S. National Bureau of Standards
Publisher: Forgotten Books
ISBN: 9780428622879
Category :
Languages : en
Pages : 34
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Book Description
Excerpt from Standard Industrial Classification (Sic) Codes: Federal General Data Standard Representations and Codes Comments concerning Federal Information Processing Standards Publications are welcomed, and should be addressed to the Director, Institute for Computer Sciences and Technology, National Bureau of Standards, Washington, DC. 20234. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
