Causal Inference in Econometrics

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Causal Inference in Econometrics by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319272849
Publisher: Springer International Publishing Publication: December 28, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319272849
Publisher: Springer International Publishing
Publication: December 28, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Mathematics, Informatics, and Their Applications in Natural Sciences and Engineering by
Cover of the book Artificial Intelligence and Soft Computing by
Cover of the book Security and Safety Interplay of Intelligent Software Systems by
Cover of the book Bringing the Human Being Back to Work by
Cover of the book The Formation, Structure and Activity of Phytochemicals by
Cover of the book A Method of Fundamental Solutions in Poroelasticity to Model the Stress Field in Geothermal Reservoirs by
Cover of the book Using Transparency Against Corruption in Public Procurement by
Cover of the book Images of Italian Mathematics in France by
Cover of the book Environment and Skin by
Cover of the book Gender and Land Tenure in the Context of Disaster in Asia by
Cover of the book Advances in Nature-Inspired Computing and Applications by
Cover of the book FinTech in Germany by
Cover of the book Business Ethics as a Science by
Cover of the book Chromosomal Translocations and Genome Rearrangements in Cancer by
Cover of the book Geoinformation for Informed Decisions by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy