Economic Demographic and Related Tax Statistics PDF Download
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Author:
Publisher:
ISBN:
Category : Demographic surveys
Languages : en
Pages : 92
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Book Description
Author:
Publisher:
ISBN:
Category : Demographic surveys
Languages : en
Pages : 92
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Book Description
Author:
Publisher:
ISBN:
Category : Demographic surveys
Languages : en
Pages : 0
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Book Description
Author: United States. Internal Revenue Service
Publisher:
ISBN:
Category : Taxation
Languages : en
Pages : 52
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Book Description
Author: Internal Revenue Service
Publisher:
ISBN:
Category : Taxation
Languages : en
Pages :
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Book Description
Author: Charles T. Nelson
Publisher:
ISBN:
Category : Income
Languages : en
Pages : 68
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Book Description
Shows 21 household income levels before and after taxes according to age, race, and Spanish origin of householder, household type and size, and housing tenure. Statistics cover aggregate income (all households), mean income, income per household.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264438181
Category :
Languages : en
Pages : 651
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Book Description
This annual publication provides details of taxes paid on wages in OECD countries. It covers personal income taxes and social security contributions paid by employees, social security contributions and payroll taxes paid by employers, and cash benefits received by workers. Taxing Wages 2021 includes a special feature entitled: “Impact of COVID-19 on the Tax Wedge in OECD Countries”.
Author:
Publisher:
ISBN:
Category : Age distribution (Demography)
Languages : en
Pages : 402
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Book Description
Author: United States. Internal Revenue Service
Publisher:
ISBN:
Category : Individual retirement accounts
Languages : en
Pages : 284
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Book Description
Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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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.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 030948359X
Category : Medical
Languages : en
Pages : 99
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Book Description
The National Academies of Sciences, Engineering, and Medicine's Roundtable on Population Health Improvement has been focused on the subject of dependable resources for population health since its inception in 2013. On December 7, 2017, the roundtable convened a workshop to explore tax policy as it relates to advancing population health, health equity, and economic prosperity. This publication summarizes the presentations and discussions from the workshop.
