Author: Francis Amasa Walker
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 496
Book Description
Discussions in Economics and Statistics: Statistics, national growth, social economics
Author: Francis Amasa Walker
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 496
Book Description
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 496
Book Description
Discussions in Economics and Statistics
Discussions in Economics and Statistics: Statistics, national growth, social economics
Author: Francis Amasa Walker
Publisher:
ISBN: 9780678007990
Category : Economics
Languages : en
Pages : 481
Book Description
Publisher:
ISBN: 9780678007990
Category : Economics
Languages : en
Pages : 481
Book Description
Discussions in Economics and Statistics
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.
Statistics, national growth, social economics
Author: Francis Amasa Walker
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 506
Book Description
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 506
Book Description
Discussions in Economics and Statistics
Author: Francis Amasa Walker
Publisher:
ISBN: 9783337598693
Category :
Languages : en
Pages : 488
Book Description
Publisher:
ISBN: 9783337598693
Category :
Languages : en
Pages : 488
Book Description
Discussions in Economics and Statistics
Author: Francis Amasa Walker
Publisher: Palala Press
ISBN: 9781343186231
Category :
Languages : en
Pages : 494
Book Description
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Publisher: Palala Press
ISBN: 9781343186231
Category :
Languages : en
Pages : 494
Book Description
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Statistical Averages
Economic Dignity
Author: Gene Sperling
Publisher: Penguin
ISBN: 198487988X
Category : Political Science
Languages : en
Pages : 384
Book Description
“Timely and important . . . It should be our North Star for the recovery and beyond.” —Hillary Clinton “Sperling makes a forceful case that only by speaking to matters of the spirit can liberals root their belief in economic justice in people’s deepest aspirations—in their sense of purpose and self-worth.” —The New York Times When Gene Sperling was in charge of coordinating economic policy in the Obama White House, he found himself surprised when serious people in Washington told him that the Obama focus on health care was a distraction because it was “not focused on the economy.” How, he asked, was the fear felt by millions of Americans of being one serious illness away from financial ruin not considered an economic issue? Too often, Sperling found that we measured economic success by metrics like GDP instead of whether the economy was succeeding in lifting up the sense of meaning, purpose, fulfillment, and security of people. In Economic Dignity, Sperling frames the way forward in a time of wrenching change and offers a vision of an economy whose guiding light is the promotion of dignity for all Americans.
Publisher: Penguin
ISBN: 198487988X
Category : Political Science
Languages : en
Pages : 384
Book Description
“Timely and important . . . It should be our North Star for the recovery and beyond.” —Hillary Clinton “Sperling makes a forceful case that only by speaking to matters of the spirit can liberals root their belief in economic justice in people’s deepest aspirations—in their sense of purpose and self-worth.” —The New York Times When Gene Sperling was in charge of coordinating economic policy in the Obama White House, he found himself surprised when serious people in Washington told him that the Obama focus on health care was a distraction because it was “not focused on the economy.” How, he asked, was the fear felt by millions of Americans of being one serious illness away from financial ruin not considered an economic issue? Too often, Sperling found that we measured economic success by metrics like GDP instead of whether the economy was succeeding in lifting up the sense of meaning, purpose, fulfillment, and security of people. In Economic Dignity, Sperling frames the way forward in a time of wrenching change and offers a vision of an economy whose guiding light is the promotion of dignity for all Americans.