Macroeconomic Forecasting in the Era of Big Data: Theory and Practice (2020)
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.
Quantity | Price | Discount |
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List Price | $279.99 |
Non-returnable discount pricing
$279.99
Book Information
Publisher: | Springer |
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Publish Date: | 12/12/2019 |
Pages: | 719 |
ISBN-13: | 9783030311490 |
ISBN-10: | 303031149X |
Language: | English |
Full Description
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.