Bayesian Methods in Econometrics
AbstractThis consultation deals with the Bayesian approach to econometric analysis. It is based on subjective probability methods of maximizing utilization of both the prior information and observations of a given process. Bayesian methods are generally used in the theory and practice of econometrics and included in the curriculum of master programs of the leading world universities. The advantage of using the Bayesian approach (in comparison with the traditional one) may be particularly seen in a higher precision of statistical inference when dealing with small samples what is typical in econometric modeling
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Publishing House "SINERGIA PRESS" in its journal Applied Econometrics.
Volume (Year): 9 (2008)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://appliedeconometrics.cemi.rssi.ru/
bayesian approach to econometric analysis; small samples; prior information;
Find related papers by JEL classification:
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Slutskin, Lev, 2010. "Bayesian analysis in the case of an estimated parameter following a stochastic process," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 20(4), pages 119-131.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anatoly Peresetsky).
If references are entirely missing, you can add them using this form.