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Author: Don A. Fast
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
The U.S. Bureau of Labor Statistics' import and export price indexes (MXPI) are published from an ever decreasing sample relative to the size of trade. The Principal Federal Economic Indicator has an opportunity to retain and regain detailed MXPI using unit values calculated from comprehensive administrative trade data. Unit values are known to be biased, although bias is less prevalent among homogeneous products. This research presents a new methodological and statistical approach to blend unit values into official price indexes. First, a proof of concept for identifying homogeneous items is based on an analysis of two export products - dairy and vegetables - for 2015-16. The results provide a prototype and a roadmap for a consistent and testable approach that aligns with the concepts in official MXPI measures, maximizes the use of high-frequency data, and mitigates unit value bias. Applying the prototype, 52 of 142 import and 50 of 129 export 5-digit BEA End Use categories are identified as homogeneous using administrative data. This coverage accounts for 35 and 39 percent of the 2016 value of imports and exports, respectively. Incorporating unit values has the potential to deepen coverage and expand publication of detailed import and export price indexes.
Author: Don A. Fast
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
The U.S. Bureau of Labor Statistics' import and export price indexes (MXPI) are published from an ever decreasing sample relative to the size of trade. The Principal Federal Economic Indicator has an opportunity to retain and regain detailed MXPI using unit values calculated from comprehensive administrative trade data. Unit values are known to be biased, although bias is less prevalent among homogeneous products. This research presents a new methodological and statistical approach to blend unit values into official price indexes. First, a proof of concept for identifying homogeneous items is based on an analysis of two export products - dairy and vegetables - for 2015-16. The results provide a prototype and a roadmap for a consistent and testable approach that aligns with the concepts in official MXPI measures, maximizes the use of high-frequency data, and mitigates unit value bias. Applying the prototype, 52 of 142 import and 50 of 129 export 5-digit BEA End Use categories are identified as homogeneous using administrative data. This coverage accounts for 35 and 39 percent of the 2016 value of imports and exports, respectively. Incorporating unit values has the potential to deepen coverage and expand publication of detailed import and export price indexes.
Author: Don Fast
Publisher:
ISBN:
Category : Exports
Languages : en
Pages : 29
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Book Description
The U.S. Bureau of Labor Statistics' import and export price indexes (MXPI) are published from an ever decreasing sample relative to the size of trade. The Principal Federal Economic Indicator has an opportunity to retain and regain detailed MXPI using unit values calculated from comprehensive administrative trade data. Unit values are known to be biased, although bias is less prevalent among homogeneous products. This research presents a new methodological and statistical approach to blend unit values into official price indexes. First, a proof of concept for identifying homogeneous items is based on an analysis of two export products -- dairy and vegetables -- for 2015-16. The results provide a prototype and a roadmap for a consistent and testable approach that aligns with the concepts in official MXPI measures, maximizes the use of high-frequency data, and mitigates unit value bias. Applying the prototype, 52 of 142 import and 50 of 129 export 5-digit BEA End Use categories are identified as homogeneous using administrative data. This coverage accounts for 35 and 39 percent of the 2016 value of imports and exports, respectively. Incorporating unit values has the potential to deepen coverage and expand publication of detailed import and export price indexes.
Author: Don Fast
Publisher:
ISBN:
Category :
Languages : en
Pages : 29
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Book Description
The U.S. Bureau of Labor Statistics’ import and export price indexes (MXPI) are published from an ever decreasing sample relative to the size of trade. The Principal Federal Economic Indicator has an opportunity to retain and regain detailed MXPI using unit values calculated from comprehensive administrative trade data. Unit values are known to be biased, although bias is less prevalent among homogeneous products. This research presents a new methodological and statistical approach to blend unit values into official price indexes. First, a proof of concept for identifying homogeneous items is based on an analysis of two export products – dairy and vegetables – for 2015-16. The results provide a prototype and a roadmap for a consistent and testable approach that aligns with the concepts in official MXPI measures, maximizes the use of high-frequency data, and mitigates unit value bias. Applying the prototype, 52 of 142 import and 50 of 129 export 5-digit BEA End Use categories are identified as homogeneous using administrative data. This coverage accounts for 35 and 39 percent of the 2016 value of imports and exports, respectively. Incorporating unit values has the potential to deepen coverage and expand publication of detailed import and export price indexes.
Author:
Publisher:
ISBN:
Category : Consumer price indexes
Languages : en
Pages : 20
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Book Description
Author:
Publisher:
ISBN:
Category : Exports
Languages : en
Pages : 20
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Book Description
Author: OECD
Publisher: OECD Publishing
ISBN: 9264085416
Category :
Languages : en
Pages : 705
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Book Description
A joint production by six international organizations, this manual explores the conceptual and theoretical issues that national statistical offices should consider in the daily compilation of export and import price indices. Intended for use by both ...
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:
Publisher:
ISBN:
Category : Exports
Languages : en
Pages : 6
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Book Description
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1452784027
Category : Business & Economics
Languages : en
Pages : 706
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Book Description
"International Labour Office, International Monetary Fund, Organisation for Economic Co-operation and Development, Statistical Office of the European Communities (Eurostat), United Nations Economic Commission for Europe, The World Bank."
Author:
Publisher:
ISBN:
Category : Commercial products
Languages : en
Pages : 26
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Book Description
