Produktbild: Causal Inference in Econometrics

Causal Inference in Econometrics

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Studies in Computational Intelligence 622

ISBN: 3319801082
ISBN 13: 9783319801087
Herausgeber: Van-Nam Huynh/Vladik Kreinovich/Songsak Sriboonchitta
Verlag: Springer Verlag GmbH
Umfang: xi, 638 S., 91 s/w Illustr., 15 farbige Illustr., 638 p. 106 illus., 15 illus. in color.
Erscheinungsdatum: 30.03.2018
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

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 reallife economic dependencies.

Artikelnummer: 5451697 Kategorie:

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