Big Data for Twenty First Century Economic Statistics

Download or Read online Big Data for Twenty First Century Economic Statistics full in PDF, ePub and kindle. This book written by Katharine G. Abraham and published by University of Chicago Press which was released on 11 March 2022 with total pages 496. We cannot guarantee that Big Data for Twenty First Century Economic Statistics book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Big Data for Twenty First Century Economic Statistics
Author :
Publisher : University of Chicago Press
Release Date :
ISBN : 9780226801391
Pages : 496 pages
Rating : /5 ( users)
GET BOOK!

Download or Read Online Big Data for Twenty First Century Economic Statistics in PDF, Epub and Kindle

The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data—such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers—has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.

Big Data for Twenty First Century Economic Statistics

The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with

GET BOOK!
Capital in the Twenty First Century

The main driver of inequality—returns on capital that exceed the rate of economic growth—is again threatening to generate extreme discontent and undermine democratic values. Thomas Piketty’s findings in this ambitious, original, rigorous work will transform debate and set the agenda for the next generation of thought about

GET BOOK!
Data Driven Innovation Big Data for Growth and Well Being

This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.

GET BOOK!
Big Data Meets Survey Science

Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and

GET BOOK!
Understanding Economic Statistics  An OECD Perspective

Drawing on OECD statistics in particular, ‘Understanding Economic Statistics: an OECD perspective' shows readers how to use statistics to understand the world economy. It gives an overview of the history, key concepts and the main providers of economic statistics.

GET BOOK!
The History Manifesto

How should historians speak truth to power – and why does it matter? Why is five hundred years better than five months or five years as a planning horizon? And why is history – especially long-term history – so essential to understanding the multiple pasts which gave rise to our conflicted present? The

GET BOOK!
New Horizons for a Data Driven Economy

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and

GET BOOK!
Cogs and Monsters

How economics needs to change to keep pace with the twenty-first century and the digital economy Digital technology, big data, big tech, machine learning, and AI are revolutionizing both the tools of economics and the phenomena it seeks to measure, understand, and shape. In Cogs and Monsters, Diane Coyle explores

GET BOOK!
The Data Industry

Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data

GET BOOK!
Big Data

This revelatory exploration of big data, which refers to our newfound ability to crunch vast amounts of information, analyze it instantly and draw profound and surprising conclusions from it, discusses how it will change our lives and what we can do to protect ourselves from its hazards. 75,000 first printing.

GET BOOK!
The Leading Indicators

A history and critical assessment of leading indicators reveals their indelible impact on the economy, public policy and other critical decisions, discussing their shortcomings while making suggestions for reducing dependence on them.

GET BOOK!
Applied Data Science

This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement

GET BOOK!
Big Data

Download or read online Big Data written by Anonim, published by Unknown which was released on 2011. Get Big Data Books now! Available in PDF, ePub and Kindle.

GET BOOK!
Essentials of Business Analytics

This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme

GET BOOK!
Applied Spatial Statistics and Econometrics

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics,

GET BOOK!