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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: Sergio Consoli Publisher: Springer Nature ISBN: 3030668916 Category : Application software Languages : en Pages : 357
Book Description
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Author: Frank Rose Publisher: Springer Science & Business Media ISBN: 3642998054 Category : Business & Economics Languages : en Pages : 280
Book Description
The Internet provides an infrastructure that makes the steadily increasing amount of information accessible efficiently, quickly, and inexpensively. Closely connec ted with this opportunity is the danger that the available information will over charge the individual information seeker's capability to process the information and to judge its quality. In this situation, information intermediaries can take upon the role of an expert and a guarantor of quality similar to intermediaries in markets for physical goods or finances. Thus, information intermediaries can be a trust worthy, information processing third party, mediating between information seekers and information sources. The current technological development has created information technologies that are capable to efficiently process large amounts of information. However, the pro vision of intermediation services necessitates a thorough examination of the basic principles underlying the economics of information intermediaries as well as a sound foundation on information technologies. The present work by Frank Rose addresses the fundamental question concerning the economics of information intermediaries by means of an abstract model. The model focuses on services that concentrate on the search and mediation of information, and identifies the essential influencing factors of the intermediary's environment. The model is then employed to investigate the impact of environmental conditions on the information intermediary on the one hand, and the optimal strategy of the information intermediary as a reaction to environmental conditions on the other hand.
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: Paul Krugman Publisher: W. W. Norton & Company ISBN: 0393067114 Category : Political Science Languages : en Pages : 318
Book Description
"The most consistent and courageous—and unapologetic—liberal partisan in American journalism." —Michael Tomasky, New York Review of Books In this "clear, provocative" (Boston Globe) New York Times bestseller, Paul Krugman, today's most widely read economist, examines the past eighty years of American history, from the reforms that tamed the harsh inequality of the Gilded Age and the 1920s to the unraveling of that achievement and the reemergence of immense economic and political inequality since the 1970s. Seeking to understand both what happened to middle-class America and what it will take to achieve a "new New Deal," Krugman has created his finest book to date, a "stimulating manifesto" offering "a compelling historical defense of liberalism and a clarion call for Americans to retake control of their economic destiny" (Publishers Weekly). "As Democrats seek a rationale not merely for returning to power, but for fundamentally changing—or changing back—the relationship between America's government and its citizens, Mr. Krugman's arguments will prove vital in the months and years ahead." —Peter Beinart, New York Times
Author: Lynne Lewis Publisher: Routledge ISBN: 0429995121 Category : Business & Economics Languages : en Pages : 383
Book Description
Environmental Economics and Policy is a best-selling text for environmental economics courses. Offering a policy-oriented approach, it introduces economic theory, empirical fieldwork, and case studies that show how underlying economic principles provided the foundation for environmental policies. Key features include: Introductions to the theory and method of environmental economics, including externalities, benefit-cost analysis, valuation methods, and ecosystem goods and services. Extensive coverage of the major issues including climate change mitigation and adaptation, air and water pollution, and environmental justice. Boxed "Examples" and "Debates" throughout the text, which highlight global examples and major talking points. This text will be of use to undergraduate students of economics. Students will leave the course with a global perspective of how environmental economics has played and can continue to play a role in promoting fair and efficient environmental management. The text is fully supported with end-of-chapter summaries, discussion questions, and self-test exercises in the book. Additional online resources include references, as well as PowerPoint slides for each chapter.
Author: The Modern Language Association of America Publisher: Modern Language Association ISBN: 1603293523 Category : Language Arts & Disciplines Languages : en Pages : 339
Book Description
Relied on by generations of writers, the MLA Handbook is published by the Modern Language Association and is the only official, authorized book on MLA style. The new, ninth edition builds on the MLA's unique approach to documenting sources using a template of core elements--facts, common to most sources, like author, title, and publication date--that allows writers to cite any type of work, from books, e-books, and journal articles in databases to song lyrics, online images, social media posts, dissertations, and more. With this focus on source evaluation as the cornerstone of citation, MLA style promotes the skills of information and digital literacy so crucial today. The many new and updated chapters make this edition the comprehensive, go-to resource for writers of research papers, and anyone citing sources, from business writers, technical writers, and freelance writers and editors to student writers and the teachers and librarians working with them. Intended for a variety of classroom contexts--middle school, high school, and college courses in composition, communication, literature, language arts, film, media studies, digital humanities, and related fields--the ninth edition of the MLA Handbook offers New chapters on grammar, punctuation, capitalization, spelling, numbers, italics, abbreviations, and principles of inclusive language Guidelines on setting up research papers in MLA format with updated advice on headings, lists, and title pages for group projects Revised, comprehensive, step-by-step instructions for creating a list of works cited in MLA format that are easier to learn and use than ever before A new appendix with hundreds of example works-cited-list entries by publication format, including websites, YouTube videos, interviews, and more Detailed examples of how to find publication information for a variety of sources Newly revised explanations of in-text citations, including comprehensive advice on how to cite multiple authors of a single work Detailed guidance on footnotes and endnotes Instructions on quoting, paraphrasing, summarizing, and avoiding plagiarism A sample essay in MLA format Annotated bibliography examples Numbered sections throughout for quick navigation Advanced tips for professional writers and scholars
Author: Ajay Agrawal Publisher: University of Chicago Press ISBN: 0226833127 Category : Business & Economics Languages : en Pages : 172
Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author: Katerina Petchko Publisher: Academic Press ISBN: 0128130113 Category : Business & Economics Languages : en Pages : 474
Book Description
How to Write about Economics and Public Policy is designed to guide graduate students through conducting, and writing about, research on a wide range of topics in public policy and economics. This guidance is based upon the actual writing practices of professional researchers in these fields and it will appeal to practitioners and students in disciplinary areas such as international economics, macroeconomics, development economics, public finance, policy studies, policy analysis, and public administration. Supported by real examples from professional and student writers, the book helps students understand what is expected of writers in their field and guides them through choosing a topic for research to writing each section of the paper. This book would be equally effective as a classroom text or a self-study resource. - Teaches students how to write about qualitative and quantitative research in public policy and economics in a way that is suitable for academic consumption and that can drive public policy debates - Uses the genre-based approach to writing to teach discipline-appropriate ways of framing problems, designing studies, and writing and structuring content - Includes authentic examples written by students and international researchers from various sub-disciplines of economics and public policy - Contains strategies and suggestions for textual analysis of research samples to give students an opportunity to practice key points explained in the book - Is based on a comprehensive analysis of a research corpus containing 400+ research articles in various areas of public policy and economics
Author: Katharine G. Abraham
Author: Katharine G. Abraham
Author: Sergio Consoli
Author: Frank Rose
Author: Gábor Békés
Author: Paul Krugman
Author: Mr.Yan Carriere-Swallow
Author: Lynne Lewis
Author: The Modern Language Association of America
Author: Ajay Agrawal
Author: Katerina Petchko