Robustness in Econometrics

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Robustness in Econometrics

Robustness in Econometrics By Vladik Kreinovich, Songsak Sriboonchitta, Van-Nam Huynh
English | 2017 | PDF,EPBU | 693 Pages | ISBN : 3319507419 | 25.48 MB
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.

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