Causal Inference in Econometrics

Van-Nam Huynh (Curatore)

Vladik Kreinovich (Curatore)

Springer International Publishing AG, 2016

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.

• Curatore: Van-Nam Huynh, Vladik Kreinovich
• Editore: Springer International Publishing AG
• Collana: Studies in Computational Intelligence
• Anno: 2016
• Rilegatura: Hardback
• Pagine: 638 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783319272832

Testo in English