Author:
Publisher:
ISBN:
Category : Industrial statistics
Languages : en
Pages : 96
Book Description
Report on the Census of Industrial Production
Author:
Publisher:
ISBN:
Category : Industrial statistics
Languages : en
Pages : 96
Book Description
Publisher:
ISBN:
Category : Industrial statistics
Languages : en
Pages : 96
Book Description
Service Annual Survey
Author:
Publisher:
ISBN:
Category : Service industries
Languages : en
Pages : 6
Book Description
Publisher:
ISBN:
Category : Service industries
Languages : en
Pages : 6
Book Description
Census of Manufactures (1972- )
Author:
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 132
Book Description
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 132
Book Description
Big Data for Twenty-First-Century Economic Statistics
Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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.
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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.
Census of Industrial Production
Author: Zambia. Central Statistical Office
Publisher:
ISBN:
Category : Industries
Languages : en
Pages : 92
Book Description
Publisher:
ISBN:
Category : Industries
Languages : en
Pages : 92
Book Description
1987 Census of Manufactures
Author:
Publisher:
ISBN:
Category : Manufacturing industries
Languages : en
Pages : 76
Book Description
Publisher:
ISBN:
Category : Manufacturing industries
Languages : en
Pages : 76
Book Description
County and City Data Book
Author:
Publisher:
ISBN:
Category : Cities and towns
Languages : en
Pages : 1112
Book Description
Publisher:
ISBN:
Category : Cities and towns
Languages : en
Pages : 1112
Book Description
International Recommendations for Industrial Statistics
Author: United Nations. Statistical Office
Publisher: United Nations Publications
ISBN: 9789211615111
Category : Political Science
Languages : en
Pages : 157
Book Description
Publisher: United Nations Publications
ISBN: 9789211615111
Category : Political Science
Languages : en
Pages : 157
Book Description
Career Guide to Industries
Author:
Publisher:
ISBN:
Category : Electronic journals
Languages : en
Pages : 308
Book Description
Publisher:
ISBN:
Category : Electronic journals
Languages : en
Pages : 308
Book Description
War Through Italian Eyes
Author: Alexander Henry
Publisher: Routledge
ISBN: 1000410099
Category : History
Languages : en
Pages : 160
Book Description
There is a popular notion that the Italian armed forces of the Second World War were an inferior fighting force. Despite the vast numbers taken prisoner, detailed studies of the experiences of these soldiers remain relatively uncommon and the value of this group to furthering our understanding of the Italian experience of war under Fascism is also rarely acknowledged. The existence in the National Archives of hundreds of pages of transcripts of covert British surveillance of Italian POWs has made it possible to engage with their experiences and opinions in much greater depth. The euphemistically termed ‘Special Reports’ present historians with a unique insight into how all levels of Italian soldiery viewed Fascist Italy’s experience of war, 1940-1943. This book examines reactions to Italian political leadership, the progress of the war, as well as Italian soldiers’ ‘everyday’ views on sex, war, the enemy, death, food, their allies, bravery, race, and killing. These fascinating documents reveal the complexity of the outlook of these men, which persistent – and influential – national stereotypes and historiographical trends fail to acknowledge.
Publisher: Routledge
ISBN: 1000410099
Category : History
Languages : en
Pages : 160
Book Description
There is a popular notion that the Italian armed forces of the Second World War were an inferior fighting force. Despite the vast numbers taken prisoner, detailed studies of the experiences of these soldiers remain relatively uncommon and the value of this group to furthering our understanding of the Italian experience of war under Fascism is also rarely acknowledged. The existence in the National Archives of hundreds of pages of transcripts of covert British surveillance of Italian POWs has made it possible to engage with their experiences and opinions in much greater depth. The euphemistically termed ‘Special Reports’ present historians with a unique insight into how all levels of Italian soldiery viewed Fascist Italy’s experience of war, 1940-1943. This book examines reactions to Italian political leadership, the progress of the war, as well as Italian soldiers’ ‘everyday’ views on sex, war, the enemy, death, food, their allies, bravery, race, and killing. These fascinating documents reveal the complexity of the outlook of these men, which persistent – and influential – national stereotypes and historiographical trends fail to acknowledge.