Macroeconomic Forecasting in the Era of Big Data: Theory and Practice


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Descripción

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.

Detalles del producto

Editorial
Springer Nature Switzerland AG
Fecha de Publicación
Idioma
Inglés
Tipo
Tapa dura
EAN/UPC
9783030311490
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