Causal Inference in Econometrics
Causal Inference in Econometrics
edited by Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta
- 1st ed.
- Cham Springer International Publishing 2016
- 1 recurso en línea (XI, 638 páginas) 106 ilustraciones, 15 ilustraciones en color
- Studies in Computational Intelligence 622 1860-949X .
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.
9783319272849
Economía matemática
HB139 / .C387 2016
006.3
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.
9783319272849
Economía matemática
HB139 / .C387 2016
006.3