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Author: United States. Bureau of Labor Statistics
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: United States. Bureau of Labor Statistics
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: United States. Bureau of Labor Statistics
Publisher:
ISBN:
Category : Labor
Languages : en
Pages : 666
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Author: United States. Bureau of Labor Statistics
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 24
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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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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:
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ISBN:
Category : Cost and standard of living
Languages : en
Pages :
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Author:
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Category : Industrial productivity
Languages : en
Pages : 32
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Author: United States Bureau of Labor Statistics
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author:
Publisher:
ISBN:
Category : Electronic journals
Languages : en
Pages : 308
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Author: Jay Stewart
Publisher: CreateSpace
ISBN: 9781491258248
Category :
Languages : en
Pages : 40
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Book Description
Over the past few years, there has been a keen interest, both in the popular press and among researchers, in whether job stability and job security have declined in recent years.1 With the recession that began in early 2001, there will be a renewed interest in this issue. Changes in job security have obvious implications for the welfare of workers. It is well known that job losers spend more time unemployed, and that they suffer persistent earnings losses after they find new jobs.2 However, it is less obvious why we should care about job stability. A decline in job stability could be either good news or bad news for workers, depending on the reason for the decline. For example, job stability could decline because economic conditions have worsened and workers have become more likely to lose jobs. Or stability could decline because economic conditions have improved and workers are finding better jobs.
Author: United States. Bureau of Labor Statistics
Publisher:
ISBN:
Category : Consumer price indexes
Languages : en
Pages : 228
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