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.
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Specifications
Book Details
Title
Macroeconomic Forecasting in the Era of Big Data
Imprint
Springer Nature Switzerland AG
Product Form
Paperback
Publisher
Springer Nature Switzerland AG
Genre
Business & Economics
ISBN13
9783030311520
Book Category
Economics, Business and Management Books
BISAC Subject Heading
BUS021000
Book Subcategory
Economics Books
Language
English
Dimensions
Height
235 mm
Length
155 mm
Weight
1110 gr
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