Causal Inference in Econometrics (Studies in Computational Intelligence, 622)
ISBN-13:
9783319272832
ISBN-10:
3319272837
Edition:
1st ed. 2016
Author:
Vladik Kreinovich, Van-Nam Huynh, Songsak Sriboonchitta
Publication date:
2016
Publisher:
Springer
Format:
Hardcover
649 pages
FREE US shipping
Book details
ISBN-13:
9783319272832
ISBN-10:
3319272837
Edition:
1st ed. 2016
Author:
Vladik Kreinovich, Van-Nam Huynh, Songsak Sriboonchitta
Publication date:
2016
Publisher:
Springer
Format:
Hardcover
649 pages
Summary
Causal Inference in Econometrics (Studies in Computational Intelligence, 622) (ISBN-13: 9783319272832 and ISBN-10: 3319272837), written by authors
Vladik Kreinovich, Van-Nam Huynh, Songsak Sriboonchitta, was published by Springer in 2016.
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Description
This book is devoted to the analysis of causal inference which is one of the most difficult tasks in data analysis: when two phenomena are observed to be related, it is often difficult to decide whether one of them causally influences the other one, or whether these two phenomena have a common cause. This analysis is the main focus of this volume. To get a good understanding of the causal inference, it is important to have models of economic phenomena which are as accurate as possible. Because of this need, this volume also contains papers that use non-traditional economic models, such as fuzzy models and models obtained by using neural networks and data mining techniques. It also contains papers that apply different econometric models to analyze real-life economic dependencies.
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