Machine-learning techniques in economics : new tools for predicting economic growth / Atin Basuchoudary, James T. Bang, Tinni Sen.
Basuchoudhary, Atin, author.; Bang, James T., author.; Sen, Tinni, author.
2017
HD82 .B37 2017
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Machine-learning techniques in economics : new tools for predicting economic growth / Atin Basuchoudary, James T. Bang, Tinni Sen.
Author Basuchoudhary, Atin, author.
ISBN 9783319690148 (electronic book)
3319690140 (electronic book)
9783319690131
3319690132
DOI https://doi.org/10.1007/978-3-319-69014-8
Published Cham, Switzerland : Springer, [2017]
Language English
Description 1 online resource : illustrations.
Other Standard Identifiers 10.1007/978-3-319-69014-8 doi
Call Number HD82 .B37 2017
Dewey Decimal Classification 338.9
Summary This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists. .-- Provided by publisher.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Vendor-supplied metadata.
Added Author Bang, James T., author.
Sen, Tinni, author.
Series SpringerBriefs in economics.
Available in Other Form Machine-learning techniques in economics.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Why this Book?
Data, Variables, and Their Sources
Methodology
Predicting Economic Growth: A First Look
Predicting Economic Growth: Which Variables Matter?
Predicting Recessions: What We Learn from Widening the Goalposts
Epilogue.

Browse Subjects

Show more subjects...

Statistics

from
to
Export