Exploring the U.S. Census
Exploring the U.S. Census

Author: Frank Donnelly

Publisher: SAGE Publications

Published: 2019-10-07

Total Pages: 364

ISBN-13: 1544355432

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Exploring the U.S. Census gives social science students and researchers alike the tools to understand, extract, process, and analyze data from the decennial census, the American Community Survey, and other data collected by the U.S. Census Bureau. Donnelly′s text provides a thorough background on the data collection methods, structures, and potential pitfalls of the census for unfamiliar researchers, collecting information previously available only in widely disparate sources into one handy guide. Hands-on, applied exercises at the end of the chapters help readers dive into the data. Along the way, the author shows how best to analyze census data with open-source software and tools. Readers can freely evaluate the data on their own computers, in keeping with the free and open data provided by the Census Bureau. By placing the census in the context of the open data movement, this text makes the history and practice of the census relevant so readers can understand what a crucial resource the census is for research and knowledge.

Statistical Abstract of the United States, 2012
Statistical Abstract of the United States, 2012

Author: Census Bureau

Publisher: www.Militarybookshop.CompanyUK

Published: 2011-09

Total Pages: 1024

ISBN-13: 9781780394237

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The Statistical Abstract of the United States, published since 1878, is the standard summary of statistics on the social, political, and economic organization of the United States. It is designed to serve as a convenient volume for statistical reference and as a guide to other statistical publications and sources. The latter function is served by the introductory text to each section, the source note appearing below each table, and Appendix I, which comprises the Guide to Sources of Statistics, the Guide to State Statistical Abstracts, and the Guide to Foreign Statistical Abstracts.

Differential Undercounts in the U.S. Census
Differential Undercounts in the U.S. Census

Author: William P. O’Hare

Publisher: Springer

Published: 2019-02-13

Total Pages: 174

ISBN-13: 3030109739

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This open access book describes the differences in US census coverage, also referred to as “differential undercount”, by showing which groups have the highest net undercounts and which groups have the greatest undercount differentials, and discusses why such undercounts occur. In addition to focusing on measuring census coverage for several demographic characteristics, including age, gender, race, Hispanic origin status, and tenure, it also considers several of the main hard-to-count populations, such as immigrants, the homeless, the LBGT community, children in foster care, and the disabled. However, given the dearth of accurate undercount data for these groups, they are covered less comprehensively than those demographic groups for which there is reliable undercount data from the Census Bureau. This book is of interest to demographers, statisticians, survey methodologists, and all those interested in census coverage.

Census 2020
Census 2020

Author: Teresa A. Sullivan

Publisher: Springer Nature

Published: 2020-02-24

Total Pages: 118

ISBN-13: 3030405788

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The decennial Census is the US Government's largest statistical undertaking, and it costs billions of dollars in planning, execution, and analysis. From a statistical viewpoint, it is critical because it is the only database that maps every inhabitant into a geographic location. By constitutional mandate, census data are the basis for reapportioning the House of Representatives and the Electoral College. The states use census data to redistrict their state legislatures and often to redraw boundaries for local elections. Census data inform the distribution of over $1.5 trillion in federal funding during the decade. This book details the fundamentals and significance of the 2020 Census for the non-specialist reader. It covers why the Census is the only statistical activity required by the US Constitution, the challenges of working towards an accurate and complete count, and what political ramifications flow from this process. Concise, timely, and comprehensible, this book provides helpful real-life examples while also offering an overview of the entwined statistical and political issues that surround the Census.

The American Census
The American Census

Author: Margo J. Anderson

Publisher: Yale University Press

Published: 2015-08-25

Total Pages: 343

ISBN-13: 0300216963

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This book is the first social history of the census from its origins to the present and has become the standard history of the population census in the United States. The second edition has been updated to trace census developments since 1980, including the undercount controversies, the arrival of the American Community Survey, and innovations of the digital age. Margo J. Anderson’s scholarly text effectively bridges the fields of history and public policy, demonstrating how the census both reflects the country’s extraordinary demographic character and constitutes an influential tool for policy making. Her book is essential reading for all those who use census data, historical or current, in their studies or work.

Big Data for Twenty-First-Century Economic Statistics
Big Data for Twenty-First-Century Economic Statistics

Author: Katharine G. Abraham

Publisher: University of Chicago Press

Published: 2022-03-11

Total Pages: 502

ISBN-13: 022680125X

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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.