Robustness in Econometrics

Robustness in Econometrics This book presents recent research on robustness in econometrics. Robust data processing techniques - i.e., techniques that yield results minimally affected by outliers - and their applications to real-life economic and financial situations are the main focus of this book. The book also discusses applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. In day-by-day data, we often encounter outliers that do not reflect the long-term economic trends, e.g., unexpected and abrupt fluctuations. As such, it is important to develop robust data processing techniques that can accommodate these fluctuations. Autor: Vladik Kreinovich, Songsak Sriboonchitta Wydawnictwo: Springer Rok wydania: 2017 Okładka: twarda Liczba stron: 705 Wymiary: 15.5 x 23.5 x 3.8 cm Ilustracje: 120 Illustrations, color; 9 Illustrations, black and white; X, 705 p. 129 illus., 120 illus. in color. Język: angielski ISBN: 9783319507415