Big Data for Twenty-First-Century Economic Statistics PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Big Data for Twenty-First-Century Economic Statistics PDF full book. Access full book title Big Data for Twenty-First-Century Economic Statistics by Katharine G. Abraham. Download full books in PDF and EPUB format.
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.
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.
Author: Aman Ullah Publisher: CRC Press ISBN: 1482269902 Category : Business & Economics Languages : en Pages : 646
Book Description
This work examines theoretical issues, as well as practical developments in statistical inference related to econometric models and analysis. This work offers discussions on such areas as the function of statistics in aggregation, income inequality, poverty, health, spatial econometrics, panel and survey data, bootstrapping and time series.
Author: R. Mark Rogers Publisher: McGraw Hill Professional ISBN: 9780070540453 Category : Business & Economics Languages : en Pages : 332
Book Description
This text provides a thorough explanation of the non-financial economic indicators that are closely watched by the financial markets. It details how the indicators are compiled and what the statistical significance is for the economy, as well as presenting insights into interpreting the data.
Author: Asli Demirguc-Kunt Publisher: World Bank Publications ISBN: 1464812683 Category : Business & Economics Languages : en Pages : 148
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.
Author: Maddison Angus Publisher: OECD Publishing ISBN: 9789264104129 Category : Languages : en Pages : 0
Book Description
Following his The World Economy: a Millennial Perspective, Angus Maddison here offers a rare insight into the history and political influence of national accounts and national accounting. He demonstrates that such statistical data can shed light on ...
Author: Gábor Békés Publisher: Cambridge University Press ISBN: 1108483011 Category : Business & Economics Languages : en Pages : 741
Book Description
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Author: Ron C. Mittelhammer Publisher: Springer Science & Business Media ISBN: 1461450225 Category : Mathematics Languages : en Pages : 777
Book Description
Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new edition has been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted to the theories of estimation and hypothesis testing with associated examples and problems that indicate their wide applicability in economics and business. Features of the new edition include: a reorganization of topic flow and presentation to facilitate reading and understanding; inclusion of additional topics of relevance to statistics and econometric applications; a more streamlined and simple-to-understand notation for multiple integration and multiple summation over general sets or vector arguments; updated examples; new end-of-chapter problems; a solution manual for students; a comprehensive answer manual for instructors; and a theorem and definition map. This book has evolved from numerous graduate courses in mathematical statistics and econometrics taught by the author, and will be ideal for students beginning graduate study as well as for advanced undergraduates.
Author: Aleksandr Vladimirovich Avakov Publisher: Algora Publishing ISBN: 0875867529 Category : Business & Economics Languages : en Pages : 403
Book Description
This statistical volume contains data usually unavailable in other statistical publications. It gives statistics for two groups of countries in their 2007 borders. First, since year 1950 (for 1950, 1960, 1970, 1980, 1990, 2000, and 2007), it provides statistical data for all countries of the world (232 countries). Second, since year 1 AD (for 0001, 1000, 1500, 1600, 1700, 1820, 1870, 1880, 1890, 1900, 1913, 1920, 1929, and 1938), it provides data for a smaller group of countries (133 countries). This book is based on the groundbreaking works of Angus Maddison but it differs from his books in that it gives data up to the most recent year available and calculates GDP (gross and per capita) in the prices of that most recent year. For the recent years, the World Bank, CIA, and Encyclopedia Britannica were principal sources. But, despite the author's great debt to these sources, the preponderance of data in the book is not direct citations from them but rather the result of calculations. Among other computational techniques he uses a new logarithmic interpolation which takes care of cross-country statistical distortions when calculating in the prices of the most recent year. For every line of data (for every country, each year), he provides a note on the technique used in obtaining his estimate (i. e., proxy, exponential interpolation, direct estimate with source citation, etc.). Dr. Avakov's annual title Quality of Life, Balance of Powers, and Nuclear Weapons gives a current snapshot of world statistics. This new work, Two Thousand Years of Economic Statistics, gives the population and current price GDP data in a historical perspective.
Author: United States. Rehabilitation Services Administration. Division of Monitoring and Program Analysis. Statistical Analysis and Systems Branch Publisher: ISBN: Category : Rehabilitation Languages : en Pages : 44
Author: Thomas Orlik Publisher: Pearson Education ISBN: 9780132620215 Category : Business & Economics Languages : en Pages : 272
Book Description
In Understanding China’s Economic Indicators, leading economist and Wall Street Journal columnist Thomas M. Orlik introduces 35 of China's most significant economic statistics. Orlik explains why each indicator matters, how it is collected and computed, and its impact on equity, commodity, and currency markets. As China has emerged as a central player in the global economy, more and more investors are seeking profitable opportunities there. To choose the right investments, it's crucial to understand China's economic environment–and that means finding, interpreting, and utilizing China's growing base of economic indicators. Orlik helps investors make sense of data on everything from Chinese GDP growth to inflation, unemployment, bond yields, electricity production, and aircraft passenger numbers. He draws on the best information supplied by the Chinese government's statistical agency, ministries, and industry associations, as well as private sources. Each indicator is clearly described, along with a practical discussion of its implications for investors.
Author: Katharine G. Abraham
Author: Katharine G. Abraham
Author: Aman Ullah
Author: R. Mark Rogers
Author: Asli Demirguc-Kunt
Author: Maddison Angus
Author: Gábor Békés
Author: Ron C. Mittelhammer
Author: Aleksandr Vladimirovich Avakov
Author: United States. Rehabilitation Services Administration. Division of Monitoring and Program Analysis. Statistical Analysis and Systems Branch
Author: Thomas Orlik