Causal Inference in Econometrics is popular PDF and ePub book, written by Van-Nam Huynh in 2015-12-28, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Causal Inference in Econometrics can be Read Online from any device for your convenience.
Causal Inference in Econometrics Book PDF Summary
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.
Detail Book of Causal Inference in Econometrics PDF
- Author : Van-Nam Huynh
- Release : 28 December 2015
- Publisher : Springer
- ISBN : 9783319272849
- Genre : Technology & Engineering
- Total Page : 626 pages
- Language : English
- PDF File Size : 9,9 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Causal Inference in Econometrics by Van-Nam Huynh, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.