Author: United States. Internal Revenue Service
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 336
Book Description
Statistics of Income
Author: United States. Internal Revenue Service
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 336
Book Description
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 336
Book Description
Source Book of Statistics of Income
Author:
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 622
Book Description
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 622
Book Description
Source Book Statistics of Income
Author:
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 620
Book Description
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 620
Book Description
A General Description of the Corporation Source Book
Author: Janice Coleman
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 32
Book Description
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 32
Book Description
Source Book, Statistics of Income
Author: Paul Rose
Publisher:
ISBN:
Category : Income tax
Languages : en
Pages : 300
Book Description
Publisher:
ISBN:
Category : Income tax
Languages : en
Pages : 300
Book Description
Source Book of Statistics of Income
Author:
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 614
Book Description
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 614
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.
Exploring Universal Basic Income
Author: Ugo Gentilini
Publisher: World Bank Publications
ISBN: 1464815119
Category : Political Science
Languages : en
Pages : 325
Book Description
Universal basic income (UBI) is emerging as one of the most hotly debatedissues in development and social protection policy. But what are thefeatures of UBI? What is it meant to achieve? How do we know, andwhat don’t we know, about its performance? What does it take to implementit in practice? Drawing from global evidence, literature, and survey data, thisvolume provides a framework to elucidate issues and trade-offs in UBI with a viewto help inform choices around its appropriateness and feasibility in different contexts.Specifically, the book examines how UBI differs from or complements othersocial assistance programs in terms of objectives, coverage, incidence, adequacy,incentives, effects on poverty and inequality, financing, political economy, andimplementation. It also reviews past and current country experiences, surveys thefull range of existing policy proposals, provides original results from micro–tax benefitsimulations, and sets out a range of considerations around the analytics andpractice of UBI.
Publisher: World Bank Publications
ISBN: 1464815119
Category : Political Science
Languages : en
Pages : 325
Book Description
Universal basic income (UBI) is emerging as one of the most hotly debatedissues in development and social protection policy. But what are thefeatures of UBI? What is it meant to achieve? How do we know, andwhat don’t we know, about its performance? What does it take to implementit in practice? Drawing from global evidence, literature, and survey data, thisvolume provides a framework to elucidate issues and trade-offs in UBI with a viewto help inform choices around its appropriateness and feasibility in different contexts.Specifically, the book examines how UBI differs from or complements othersocial assistance programs in terms of objectives, coverage, incidence, adequacy,incentives, effects on poverty and inequality, financing, political economy, andimplementation. It also reviews past and current country experiences, surveys thefull range of existing policy proposals, provides original results from micro–tax benefitsimulations, and sets out a range of considerations around the analytics andpractice of UBI.
Building Tax Culture, Compliance and Citizenship A Global Source Book on Taxpayer Education, Second Edition
Author: OECD
Publisher: OECD Publishing
ISBN: 9264724788
Category :
Languages : en
Pages : 150
Book Description
Widespread voluntary tax compliance plays a significant role in countries’ efforts to raise the revenues necessary to achieve Sustainable Development Goals. As part of this process, governments are increasingly reaching out to taxpayers – current and future – to teach, communicate and assist them in order to foster a “culture of compliance” based on rights and responsibilities, in which citizens see paying taxes as an integral aspect of their relationship with their government.
Publisher: OECD Publishing
ISBN: 9264724788
Category :
Languages : en
Pages : 150
Book Description
Widespread voluntary tax compliance plays a significant role in countries’ efforts to raise the revenues necessary to achieve Sustainable Development Goals. As part of this process, governments are increasingly reaching out to taxpayers – current and future – to teach, communicate and assist them in order to foster a “culture of compliance” based on rights and responsibilities, in which citizens see paying taxes as an integral aspect of their relationship with their government.
Interpreting Quantitative Data with SPSS
Author: Rachad Antonius
Publisher: SAGE
ISBN: 9780761973997
Category : Social Science
Languages : en
Pages : 336
Book Description
This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.
Publisher: SAGE
ISBN: 9780761973997
Category : Social Science
Languages : en
Pages : 336
Book Description
This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.