| Title | : | Robustness in Econometrics |
|---|---|---|
| Author | : | Vladik Kreinovich, Songsak Sriboonchitta & Van-Nam Huynh |
| Release | : | 2017-02-11 |
| Kind | : | ebook |
| Genre | : | Computers & Internet, Books, Computers, Business & Personal Finance, Economics, Professional & Technical, Engineering |
| Size | : | 14751468 |
| 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. |
