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 Financial Dimensions of Marketing Decisions by
Cover of the book Crisis, Agency, and Law in US Civil-Military Relations by
Cover of the book The Ecosystems Revolution by
Cover of the book Understanding Leadership in Complex Systems by
Cover of the book Idiopathic Pulmonary Fibrosis by
Cover of the book Learning from Imbalanced Data Sets by
Cover of the book High Resolution Palaeoclimatic Changes in Selected Sectors of the Indian Himalaya by Using Speleothems by
Cover of the book Obesity by
Cover of the book Pathology of Transplantation by
Cover of the book Basic and Clinical Toxicology of Mustard Compounds by
Cover of the book Rivers – Physical, Fluvial and Environmental Processes by
Cover of the book Organized White Women and the Challenge of Racial Integration, 1945-1965 by
Cover of the book Corruption, Informality and Entrepreneurship in Romania by
Cover of the book Oaks Physiological Ecology. Exploring the Functional Diversity of Genus Quercus L. by
Cover of the book Kant, Shelley and the Visionary Critique of Metaphysics 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