Author: Francis P. Donnelly
Publisher: SAGE Publications
ISBN: 1544355459
Category : Computers
Languages : en
Pages : 465
Book Description
Exploring the U.S. Census gives social science students and researchers the tools to understand, extract, process, and analyze census data, including the American Community Survey and other datasets. This text provides background on the data collection methods, structures, and potential pitfalls for unfamiliar researchers with applied exercises and software walk-throughs.
Exploring the U.S. Census
Author: Francis P. Donnelly
Publisher: SAGE Publications
ISBN: 1544355459
Category : Computers
Languages : en
Pages : 465
Book Description
Exploring the U.S. Census gives social science students and researchers the tools to understand, extract, process, and analyze census data, including the American Community Survey and other datasets. This text provides background on the data collection methods, structures, and potential pitfalls for unfamiliar researchers with applied exercises and software walk-throughs.
Publisher: SAGE Publications
ISBN: 1544355459
Category : Computers
Languages : en
Pages : 465
Book Description
Exploring the U.S. Census gives social science students and researchers the tools to understand, extract, process, and analyze census data, including the American Community Survey and other datasets. This text provides background on the data collection methods, structures, and potential pitfalls for unfamiliar researchers with applied exercises and software walk-throughs.
American Community Survey
Author:
Publisher:
ISBN:
Category : American community survey
Languages : en
Pages : 18
Book Description
Publisher:
ISBN:
Category : American community survey
Languages : en
Pages : 18
Book Description
Handbook on Geospatial Infrastructure in Support of Census Activities
Author:
Publisher: United Nations Publications
ISBN:
Category : Business & Economics
Languages : en
Pages : 276
Book Description
The handbook demonstrates how the use and application of contemporary geospatial technologies and geographical databases are beneficial at all stages of the population and housing census process.
Publisher: United Nations Publications
ISBN:
Category : Business & Economics
Languages : en
Pages : 276
Book Description
The handbook demonstrates how the use and application of contemporary geospatial technologies and geographical databases are beneficial at all stages of the population and housing census process.
Community Economic Analysis
Author: Ron Hustedde
Publisher: North Central Regional Center for Rural Development
ISBN:
Category : Political Science
Languages : en
Pages : 96
Book Description
Publisher: North Central Regional Center for Rural Development
ISBN:
Category : Political Science
Languages : en
Pages : 96
Book Description
United States Government Organization Manual
Author:
Publisher:
ISBN:
Category : Executive departments
Languages : en
Pages : 1760
Book Description
Publisher:
ISBN:
Category : Executive departments
Languages : en
Pages : 1760
Book Description
Instructions to Enumerators...
Author: United States. Census Office
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 64
Book Description
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 64
Book Description
United States Government Manual
Author:
Publisher:
ISBN:
Category : Administrative agencies
Languages : en
Pages : 794
Book Description
Publisher:
ISBN:
Category : Administrative agencies
Languages : en
Pages : 794
Book Description
The Gregg Reference Manual
Author: William A. Sabin
Publisher: McGraw-Hill/Irwin
ISBN: 9780072936032
Category : Business writing
Languages : en
Pages : 0
Book Description
The Gregg Reference Manual 9e by William Sabin is intended for anyone who writes, edits, or prepares material for distribution or publication. For nearly fifty years, this manual has been recognized as the best style manual for business professionals and for students who want to master the on-the-job standards of business professionals. Copyright © Libri GmbH. All rights reserved.
Publisher: McGraw-Hill/Irwin
ISBN: 9780072936032
Category : Business writing
Languages : en
Pages : 0
Book Description
The Gregg Reference Manual 9e by William Sabin is intended for anyone who writes, edits, or prepares material for distribution or publication. For nearly fifty years, this manual has been recognized as the best style manual for business professionals and for students who want to master the on-the-job standards of business professionals. Copyright © Libri GmbH. All rights reserved.
Alphabetical Index of Occupations
Author: United States. Bureau of the Census
Publisher:
ISBN:
Category : Occupations
Languages : en
Pages : 528
Book Description
Publisher:
ISBN:
Category : Occupations
Languages : en
Pages : 528
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.