Macroeconomic Forecasting in the Era of Big Data: Theory and Practice (1st ed. 2020) (Advanced Studies in Theoretical and Applied Econometrics #52)
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- Synopsis
- 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.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030311506
- Related ISBNs:
- 9783030311490
- Publisher:
- Springer International Publishing
- Date of Addition:
- 12/07/19
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Business and Finance, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Peter Fuleky
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- by Peter Fuleky
- in Nonfiction
- in Computers and Internet
- in Business and Finance
- in Mathematics and Statistics