Macroeconomic Forecasting in the Era of Big Data - Theory and Practice (Paperback, 1st ed. 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. 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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advanced Studies in Theoretical and Applied Econometrics, 52
Release date:	December 2020
First published:	2020
Editors:	Peter Fuleky
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	719
Edition:	1st ed. 2020
ISBN-13:	978-3-03-031152-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Economics > Macroeconomics > General Books > Business & Economics > Economics > Econometrics > General Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Applications of computing > Databases > General
LSN:	3-03-031152-X
Barcode:	9783030311520

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