Macroeconomic Forecasting in the Era of Big Data (eBook)

Theory and Practice
Artikelnummer: 978-3-030-31150-6
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.


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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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2019
Seitenangabe719 S.
AusgabekennzeichenEnglisch
AbbildungenXIII, 719 p. 80 illus., 62 illus. in color.
Masse11'757 KB
PlattformPDF
ReiheAdvanced Studies in Theoretical and Applied Econometrics; Economics and Finance; Economics and Finance
AutorFuleky, Peter (Hrsg.)

Alle Bände der Reihe "Advanced Studies in Theoretical and Applied Econometrics; Economics and Finance; Economics and Finance (R0)"

Über den Autor Peter (Hrsg.) Fuleky

Peter Fuleky is an Associate Professor of Economics with a joint appointment at the University of Hawaii Economic Research Organization (UHERO), and the Department of Economics at the University of Hawaii at Manoa. His research focuses on econometrics, time series analysis, and forecasting. He is a co-author of UHERO's quarterly forecast reports on Hawaii's economy. He obtained his Ph.D. degree in Economics at the University of Washington, USA.

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