Macroeconomic Forecasting in the Era of Big Data
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Macroeconomic Forecasting in the Era of Big Data by Peter Fuleky
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.
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.
| SKU | NIN9783030311520 |
| ISBN 13 | 9783030311520 |
| ISBN 10 | 303031152X |
| Title | Macroeconomic Forecasting in the Era of Big Data |
| Author | Peter Fuleky |
| Series | Advanced Studies In Theoretical And Applied Econometrics |
| Condition | New |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2020-12-19 |
| Number of pages | 719 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time |
