The Economist Book of Vital World Statistics

The Economist Book of Vital World Statistics

Author:

Publisher: Random House Business Books

Published: 1990

Total Pages: 472

ISBN-13:

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A view of how the countries of the world compare on everything from economic strength to energy consumption, industrial output to inflation, export trends to education standards, freezer ownership to financial institutions, CCF emissions to the cost of living and meat production to murder rates.


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.


Applied Statistics for Economists

Applied Statistics for Economists

Author: Margaret Lewis

Publisher: Routledge

Published: 2012-11-12

Total Pages: 465

ISBN-13: 1136668713

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This book is an undergraduate text that introduces students to commonly-used statistical methods in economics. Using examples based on contemporary economic issues and readily-available data, it not only explains the mechanics of the various methods, it also guides students to connect statistical results to detailed economic interpretations. Because the goal is for students to be able to apply the statistical methods presented, online sources for economic data and directions for performing each task in Excel are also included.


Applied Statistics in Business and Economics

Applied Statistics in Business and Economics

Author: David P. Doane

Publisher:

Published: 2006-02

Total Pages: 834

ISBN-13: 9780071108140

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David Doane offers an Excel focused approach to using statistics in business. All statistical concepts are illustrated with applied examples immediately upon introduction.


Statistics For Economists

Statistics For Economists

Author: Linus Yamane

Publisher: World Scientific

Published: 2023-12-05

Total Pages: 373

ISBN-13: 9811278822

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This first course in statistics is designed for undergraduate students. There are dozens of statistics textbooks in the market. But most of these textbooks are either pitched at a level that is too high or too low for most undergraduate students. Many use calculus and are designed for graduate students in technical fields. Others provide black box formulas without any derivations. This textbook focuses on deriving everything from first principles without using calculus or linear algebra. It is important for students to understand why they are doing what they are doing. Otherwise students cannot distinguish meaningless results from significant results. This textbook gets to the major points quickly and is thus relatively short and very accessible.


Statistics for Business and Financial Economics

Statistics for Business and Financial Economics

Author: Cheng F. Lee

Publisher: World Scientific

Published: 2000

Total Pages: 1124

ISBN-13: 9789810234850

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This text integrates various statistical techniques with concepts from business, economics and finance, and demonstrates the power of statistical methods in the real world of business. This edition places more emphasis on finance, economics and accounting concepts with updated sample data.


Applied Statistics and Multivariate Data Analysis for Business and Economics

Applied Statistics and Multivariate Data Analysis for Business and Economics

Author: Thomas Cleff

Publisher: Springer

Published: 2019-07-10

Total Pages: 488

ISBN-13: 303017767X

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This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.