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 Change and Maintaining Change by
Cover of the book Yoga Traveling by
Cover of the book Case-Based Reasoning Research and Development by
Cover of the book Nearly Zero Energy Buildings and Proliferation of Microorganisms by
Cover of the book Handbook of the Sociology of the Military by
Cover of the book Urban Environment, Travel Behavior, Health, and Resident Satisfaction by
Cover of the book Kazhdan-Lusztig Cells with Unequal Parameters by
Cover of the book The Bloody Code in England and Wales, 1760–1830 by
Cover of the book Fault Tolerant Control Schemes Using Integral Sliding Modes by
Cover of the book The Antarctic Silverfish: a Keystone Species in a Changing Ecosystem by
Cover of the book Direct Methods for Limit and Shakedown Analysis of Structures by
Cover of the book Pericyte Biology in Different Organs by
Cover of the book Global Governance and Muslim Organizations by
Cover of the book Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) by
Cover of the book Inorganic Metal Oxide Nanocrystal Photocatalysts for Solar Fuel Generation from Water 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