Email
Print Friendly
A A A

Atlanta Fed Working Papers


Identification, Vector Autoregression, and Block Recursion

Tao Zha
Federal Reserve Bank of Atlanta
Working Paper 96-8
August 1996

PDFDownload the full text of this paper in Adobe Acrobat 4.0 PDF format - (624 KB)
DOWNLOAD ACROBAT® READER SOFTWARE

In the applications of identified VAR models, finite-sample properties are not obvious to obtain when identifying restrictions are imposed on some lagged relationships. As a result, researchers have either left lagged relationships unrestricted even though some restrictions clearly make economic sense or failed to provide correct inference of the estimates. We extend the Bayesian methodology in the existing literature to these cases and develop the blockwise Monte Carlo methods. We show how to implement these methods to obtain the estimation and inference.

JEL classification: C11, C15, C32, C50

Key words: Contemporaneous recursive blocks; identifying restrictions; likelihood; finite samples, posterior; blockwise Monte Carlo methods

To receive notification about new papers or to order copies of printed papers, please use our Publications Order Form.