Methods for Estimation and Inference in Modern Econometrics is popular PDF and ePub book, written by Stanislav Anatolyev in 2011-06-07, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Methods for Estimation and Inference in Modern Econometrics can be Read Online from any device for your convenience.
Methods for Estimation and Inference in Modern Econometrics Book PDF Summary
This book covers important topics in econometrics. It discusses methods for efficient estimation in models defined by unconditional and conditional moment restrictions, inference in misspecified models, generalized empirical likelihood estimators, and alternative asymptotic approximations. The first chapter provides a general overview of established nonparametric and parametric approaches to estimation and conventional frameworks for statistical inference. The next several chapters focus on the estimation of models based on moment restrictions implied by economic theory. The final chapters cover nonconventional asymptotic tools that lead to improved finite-sample inference.
Detail Book of Methods for Estimation and Inference in Modern Econometrics PDF
- Author : Stanislav Anatolyev
- Release : 07 June 2011
- Publisher : CRC Press
- ISBN : 9781439838266
- Genre : Business & Economics
- Total Page : 230 pages
- Language : English
- PDF File Size : 9,7 Mb
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