Macroeconomic Forecasting in the Era of Big Data
Theory and Practice
Editors: Fuleky, Peter (Ed.)
Free Preview- Presents a comprehensive collection of big data tools used in macroeconomic forecasting.
- Surveys the most recent developments in the field.
- Offers algorithmic descriptions of big data techniques for forecasting.
- Useful as a reference, a textbook, and a resource for professional forecasters.
Buy this book
- About this book
-
This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.
- About the authors
-
Peter Fuleky is an Associate Professor of Economics with a joint appointment at the University of Hawaii Economic Research Organization (UHERO), and the Department of Economics at the University of Hawaii at Manoa. His research focuses on econometrics, time series analysis, and forecasting. He is a co-author of UHERO's quarterly forecast reports on Hawaii's economy. He obtained his Ph.D. degree in Economics at the University of Washington, USA.
- Table of contents (21 chapters)
-
-
Sources and Types of Big Data for Macroeconomic Forecasting
Pages 3-23
-
Dynamic Factor Models
Pages 27-64
-
Factor Augmented Vector Autoregressions, Panel VARs, and Global VARs
Pages 65-93
-
Large Bayesian Vector Autoregressions
Pages 95-125
-
Volatility Forecasting in a Data Rich Environment
Pages 127-160
-
Table of contents (21 chapters)
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Macroeconomic Forecasting in the Era of Big Data
- Book Subtitle
- Theory and Practice
- Editors
-
- Peter Fuleky
- Series Title
- Advanced Studies in Theoretical and Applied Econometrics
- Series Volume
- 52
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-31150-6
- DOI
- 10.1007/978-3-030-31150-6
- Hardcover ISBN
- 978-3-030-31149-0
- Softcover ISBN
- 978-3-030-31152-0
- Series ISSN
- 1570-5811
- Edition Number
- 1
- Number of Pages
- XIII, 719
- Number of Illustrations
- 18 b/w illustrations, 62 illustrations in colour
- Topics
