World Trade Statistical Review 2017

World Trade Statistical Review 2017
Title World Trade Statistical Review 2017 PDF eBook
Author World Trade Organization
Publisher
Pages 0
Release 2017-10-12
Genre Business & Economics
ISBN 9789287041517

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A comprehensive overview of the latest developments in world trade, covering the details of merchandise trade by product and trade in commercial services World Trade Statistical Review 2017 looks into the latest developments in world trade, with a detailed analysis of the most recent trends for trade in goods and services. The publication also looks into trade in value-added terms and the latest trade policy developments, highlighting recent trends in WTO members' use of trade-restrictive and trade-facilitating measures. In addition, it provides information on the participation of developing economies in world trade, Aid-for-Trade financial commitments and implementation of the WTO's landmark Trade Facilitation Agreement. The analytical chapters are complemented by a statistical appendix of over 60 tables providing comprehensive data on various facets of world trade in goods and services.

Foreign trade statistical bulletin

Foreign trade statistical bulletin
Title Foreign trade statistical bulletin PDF eBook
Author
Publisher
Pages 796
Release 1996-04
Genre Imports
ISBN

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Foreign Statistical Publications

Foreign Statistical Publications
Title Foreign Statistical Publications PDF eBook
Author
Publisher
Pages 20
Release 1971
Genre Statistics
ISBN

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International Financial Statistics Yearbook, 2018

International Financial Statistics Yearbook, 2018
Title International Financial Statistics Yearbook, 2018 PDF eBook
Author International Monetary Fund. Statistics Dept.
Publisher International Monetary Fund
Pages 1471
Release 2018-08-01
Genre Business & Economics
ISBN 1484354281

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This 2018 yearbook issue of International Financial Statistics (IFS) is a standard source of statistics on all aspects of international and domestic finance. The IMF publishes calculated effective exchange rates data only for countries that have given their approval. The country, euro area, and world tables provide measures of effective exchange rates, compiled by the IMF’s Research Department, Statistics Department, and area departments. The real effective exchange rate index in line rec is derived from the nominal effective exchange rate index, adjusted for relative changes in consumer prices. Consumer price indices, often available monthly, are used as a measure of domestic costs and prices for these countries.

World Trade Organization International Trade Statistics

World Trade Organization International Trade Statistics
Title World Trade Organization International Trade Statistics PDF eBook
Author World Tourism Organization
Publisher
Pages 0
Release 2015-11-15
Genre Business & Economics
ISBN 9789287039880

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International Trade Statistics 2015 provides a detailed overview of the latest developments in world trade, covering both merchandise and services trade as well as trade measured in value-added terms. A key developments section at the start of each chapter uses charts and maps to illustrate the most important trends. More detailed data are provided in a variety of tables covering specific aspects of world trade up to the end of 2014. A chapter on methodology explains how the data are compiled. International Trade Statistics 2015 serves as an invaluable reference tool for researchers, policymakers, and anyone interested in international trade.

Big Data for Twenty-First-Century Economic Statistics

Big Data for Twenty-First-Century Economic Statistics
Title Big Data for Twenty-First-Century Economic Statistics PDF eBook
Author Katharine G. Abraham
Publisher University of Chicago Press
Pages 502
Release 2022-03-11
Genre Business & Economics
ISBN 022680125X

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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.

Statistical Bulletin

Statistical Bulletin
Title Statistical Bulletin PDF eBook
Author
Publisher
Pages 1292
Release 1956
Genre Agriculture
ISBN

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