Название: Macroeconomic Forecasting in the Era of Big dаta: Theory and Practice
Автор: Editor Peter Fuleky
Издательство: Springer
Год: 2020
Формат: PDF
Страниц: 716
Размер: 11.3 МБ
Язык: English

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.