EconPapers    
Economics at your fingertips  
 

A Note on Some Monte Carlo Results on Non-Negative Variance Estimators for a Random Coefficient Regression Model

B. R. Froehlich

American Journal of Agricultural Economics, 1973, vol. 55, issue 2, 231-234

Abstract: A consistent estimator is used as a first step in estimating variances. Since this procedure frequently gives negative values, alternatives are proposed. One of these, the quadratic programming estimator, was believed to be superior to both of the others examined in this study. The experiment does not support this conjecture.

Date: 1973
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.2307/1238444 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:55:y:1973:i:2:p:231-234.

Access Statistics for this article

American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().

 
Page updated 2025-03-19
Handle: RePEc:oup:ajagec:v:55:y:1973:i:2:p:231-234.