International Recommendations for Industrial Statistics
Author: United Nations. Statistical Office
Publisher: United Nations Publications
Published: 2009
Total Pages: 157
ISBN-13: 9789211615111
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Author: United Nations. Statistical Office
Publisher: United Nations Publications
Published: 2009
Total Pages: 157
ISBN-13: 9789211615111
DOWNLOAD EBOOKAuthor: UNIDO
Publisher: Edward Elgar Publishing
Published: 2021-04-30
Total Pages: 880
ISBN-13: 1800886500
DOWNLOAD EBOOKA unique and comprehensive source of information, this book is the only international publication providing economists, planners, policymakers and business people with worldwide statistics on current performance and trends in the manufacturing sector.
Author: United Nations Industrial Development Organization
Publisher: Edward Elgar Publishing
Published: 2020-02-28
Total Pages: 877
ISBN-13: 1789905710
DOWNLOAD EBOOKA unique and comprehensive source of information, this book is the only international publication providing economists, planners, policymakers and business people with worldwide statistics on current performance and trends in the manufacturing sector.
Author: Katharine G. Abraham
Publisher: University of Chicago Press
Published: 2022-03-11
Total Pages: 502
ISBN-13: 022680125X
DOWNLOAD EBOOKIntroduction.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 Nations. Statistical Division
Publisher: Statistical Papers (Ser. M)
Published: 2009
Total Pages: 168
ISBN-13:
DOWNLOAD EBOOKThe publication provides recommendations on the concepts, definitions, classifications, data sources, data compilation methods, approaches to data quality assessment, metadata and dissemination policies applicable in distributive trade statistics. The recommendations also cover some specific topics that have been identified as requiring additional guidance such as the treatment of informal sector units, compilation of indices of distributive trade and seasonal adjustment. The information is consistent with those issued in other fields of economic statistics and has been harmonized with the System of National Accounts 2008 (2008 SNA).
Author:
Publisher:
Published: 2010
Total Pages: 148
ISBN-13:
DOWNLOAD EBOOKUnited Nations publication. Sales no. E.08.XVII.28--T.p. verso.
Author: Ghosh
Publisher: CRC Press
Published: 1990-05-25
Total Pages: 562
ISBN-13: 9780824782511
DOWNLOAD EBOOKAuthor: United Nations Industrial Development Organization
Publisher: Edward Elgar Publishing
Published: 2019
Total Pages: 851
ISBN-13: 1788977890
DOWNLOAD EBOOKA unique and comprehensive source of information, this book is the only international publication providing economists, planners, policymakers and business people with worldwide statistics on current performance and trends in the manufacturing sector.
Author: United Nations Industrial Development Organization
Publisher: Edward Elgar Publishing
Published: 2017-02-24
Total Pages: 783
ISBN-13: 1786436469
DOWNLOAD EBOOKA unique and comprehensive source of information, this book is the only international publication providing economists, planners, policymakers and business people with worldwide statistics on current performance and trends in the manufacturing sector.
Author: United Nations Industrial Development Organization
Publisher: Edward Elgar Publishing
Published: 2015-02-27
Total Pages: 759
ISBN-13: 1784715506
DOWNLOAD EBOOKA unique and comprehensive source of information, this book is the only international publication providing economists, planners, policymakers and business people with worldwide statistics on current performance and trends in the manufacturing sector.&