Across-Regime Covariance Restrictions in Treatment Response Models
AbstractChib and Hamilton (2000) discuss Bayesian estimation of treatment response models subject to the restriction that the cross-regime correlation parameter is zero. This note points out important consequences of that restriction, and argues that the range of applicability of such an approach is necessarily limited. We also briefly discuss methods for fitting these models which do not impose such a restriction, and as a consequence, are not subject to the described limitations.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by California Irvine - School of Social Sciences in its series Papers with number 00-01-29.
Length: 7 pages
Date of creation: 2001
Date of revision:
Contact details of provider:
Postal: UNIVERSITY OF CALIFORNIA IRVINE, SCHOOL OF SOCIAL SCIENCES, IRVINECALIFORNIA 91717 U.S.A.
EVALUATION ; ECONOMIC MODELS ; RESTRICTIONS;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel).
If references are entirely missing, you can add them using this form.