Author: United States. Internal Revenue Service
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 256
Book Description
Statistics of Income
Author: United States. Internal Revenue Service
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 256
Book Description
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 256
Book Description
Source Book of Statistics of Income
Individual retirement arrangements (IRAs)
Author: United States. Internal Revenue Service
Publisher:
ISBN:
Category : Individual retirement accounts
Languages : en
Pages : 284
Book Description
Publisher:
ISBN:
Category : Individual retirement accounts
Languages : en
Pages : 284
Book Description
State Data Book
Author: United States. Rehabilitation Services Administration. Division of Monitoring and Program Analysis. Statistical Analysis and Systems Branch
Publisher:
ISBN:
Category : Rehabilitation
Languages : en
Pages : 56
Book Description
Publisher:
ISBN:
Category : Rehabilitation
Languages : en
Pages : 56
Book Description
The Global Findex Database 2017
Author: Asli Demirguc-Kunt
Publisher: World Bank Publications
ISBN: 1464812683
Category : Business & Economics
Languages : en
Pages : 228
Book Description
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.
Publisher: World Bank Publications
ISBN: 1464812683
Category : Business & Economics
Languages : en
Pages : 228
Book Description
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.
Corporate Income Taxes under Pressure
Author: Ruud A. de Mooij
Publisher: International Monetary Fund
ISBN: 1513511777
Category : Business & Economics
Languages : en
Pages : 388
Book Description
The book describes the difficulties of the current international corporate income tax system. It starts by describing its origins and how changes, such as the development of multinational enterprises and digitalization have created fundamental problems, not foreseen at its inception. These include tax competition—as governments try to attract tax bases through low tax rates or incentives, and profit shifting, as companies avoid tax by reporting profits in jurisdictions with lower tax rates. The book then discusses solutions, including both evolutionary changes to the current system and fundamental reform options. It covers both reform efforts already under way, for example under the Inclusive Framework at the OECD, and potential radical reform ideas developed by academics.
Publisher: International Monetary Fund
ISBN: 1513511777
Category : Business & Economics
Languages : en
Pages : 388
Book Description
The book describes the difficulties of the current international corporate income tax system. It starts by describing its origins and how changes, such as the development of multinational enterprises and digitalization have created fundamental problems, not foreseen at its inception. These include tax competition—as governments try to attract tax bases through low tax rates or incentives, and profit shifting, as companies avoid tax by reporting profits in jurisdictions with lower tax rates. The book then discusses solutions, including both evolutionary changes to the current system and fundamental reform options. It covers both reform efforts already under way, for example under the Inclusive Framework at the OECD, and potential radical reform ideas developed by academics.
Income Averaging
Author: United States. Internal Revenue Service
Publisher:
ISBN:
Category : Income averaging
Languages : en
Pages : 8
Book Description
Publisher:
ISBN:
Category : Income averaging
Languages : en
Pages : 8
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.
Your Federal Income Tax for Individuals
Author: United States. Internal Revenue Service
Publisher:
ISBN:
Category : Income tax
Languages : en
Pages : 336
Book Description
Publisher:
ISBN:
Category : Income tax
Languages : en
Pages : 336
Book Description
Revenue Statistics 2021 The Initial Impact of COVID-19 on OECD Tax Revenues
Author: OECD
Publisher: OECD Publishing
ISBN: 9264567356
Category :
Languages : en
Pages : 357
Book Description
This annual publication gives a conceptual framework to define which government receipts should be regarded as taxes. It presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards.
Publisher: OECD Publishing
ISBN: 9264567356
Category :
Languages : en
Pages : 357
Book Description
This annual publication gives a conceptual framework to define which government receipts should be regarded as taxes. It presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards.