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
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
All of Statistics
Author: Larry Wasserman
Publisher: Springer Science & Business Media
ISBN: 0387217363
Category : Mathematics
Languages : en
Pages : 446
Book Description
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Publisher: Springer Science & Business Media
ISBN: 0387217363
Category : Mathematics
Languages : en
Pages : 446
Book Description
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
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.
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.
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.
Source Book of Statistics of Income
Income and Wealth
Author: Alan Reynolds
Publisher: Greenwood
ISBN: 0313336881
Category : Business & Economics
Languages : en
Pages : 0
Book Description
Explains the hows and whys of income distribution--why some are rich, some are poor, how income is measured, and the impact of goverment policies on jobs and personal wealth.
Publisher: Greenwood
ISBN: 0313336881
Category : Business & Economics
Languages : en
Pages : 0
Book Description
Explains the hows and whys of income distribution--why some are rich, some are poor, how income is measured, and the impact of goverment policies on jobs and personal wealth.
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 debated issues in development and social protection policy. But what are the features of UBI? What is it meant to achieve? How do we know, and what don’t we know, about its performance? What does it take to implement it in practice? Drawing from global evidence, literature, and survey data, this volume provides a framework to elucidate issues and trade-offs in UBI with a view to help inform choices around its appropriateness and feasibility in different contexts. Specifically, the book examines how UBI differs from or complements other social assistance programs in terms of objectives, coverage, incidence, adequacy, incentives, effects on poverty and inequality, financing, political economy, and implementation. It also reviews past and current country experiences, surveys the full range of existing policy proposals, provides original results from micro†“tax benefit simulations, and sets out a range of considerations around the analytics and practice 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 debated issues in development and social protection policy. But what are the features of UBI? What is it meant to achieve? How do we know, and what don’t we know, about its performance? What does it take to implement it in practice? Drawing from global evidence, literature, and survey data, this volume provides a framework to elucidate issues and trade-offs in UBI with a view to help inform choices around its appropriateness and feasibility in different contexts. Specifically, the book examines how UBI differs from or complements other social assistance programs in terms of objectives, coverage, incidence, adequacy, incentives, effects on poverty and inequality, financing, political economy, and implementation. It also reviews past and current country experiences, surveys the full range of existing policy proposals, provides original results from micro†“tax benefit simulations, and sets out a range of considerations around the analytics and practice of UBI.