Causal Inference in Econometrics

Vladik Kreinovich editor Van-Nam Huynh editor Songsak Sriboonchitta editor

Format:Paperback

Publisher:Springer International Publishing AG

Published:30th Mar '18

Currently unavailable, and unfortunately no date known when it will be back

Causal Inference in Econometrics cover

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.

ISBN: 9783319801087

Dimensions: unknown

Weight: 985g

638 pages

Softcover reprint of the original 1st ed. 2016