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Robustness in Econometrics

Robustness in Econometrics - Studies in Computational Intelligence

1st Edition 2017

Hardback (20 Feb 2017)

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Publisher's Synopsis

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.

Book information

ISBN: 9783319507415
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: 1st Edition 2017
Language: English
Number of pages: 705
Weight: 1170g
Height: 235mm
Width: 155mm
Spine width: 38mm