Causal Inference in Econometrics

This bookis devoted to the analysis of causal inference which  is one of the most difficult tasks in dataanalysis: when two phenomena are observed to be related, it is often difficultto decide whether one of them causally influences the other one, or whetherthese two phenomena have a common cause. This analysis is the main focus ofthis volume.
To get agood understanding of the causal inference, it is important to have models ofeconomic phenomena which are as accurate as possible. Because of this need,this volume also contains papers that use non-traditional economic models, suchas fuzzy models and models obtained by using neural networks and data miningtechniques. It also contains papers that apply different econometric models toanalyze real-life economic dependencies.

List of contents

Part I Fundamental Theory.- Part II Applications.

Summary

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.

Product details

• Assisted by: Van-Nam Huynh (Editor), Vladi Kreinovich (Editor), Vladik Kreinovich (Editor), Songsak Sriboonchitta (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 31.03.2016
• EAN: 9783319272832
• ISBN: 978-3-31-927283-2
• No. of pages: 638
• Dimensions: 164 mm x 242 mm x 42 mm
• Weight: 1076 g
• Illustrations: XI, 638 p. 106 illus., 15 illus. in color.
• Series: Studies in Computational Intelligence; Studies in Computational Intelligence
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Social sciences, law, business > Business; B, engineering, Applications of Mathematics, quality control, Finance & accounting, Industrial and Production Engineering, reliability, Economics, Mathematical, Quantitative Finance, Computational Intelligence, Industrial safety, Quality Control, Reliability, Safety and Risk, Reliability engineering