A Monte Carlo Study of Tests of Blockwise Weak Separability
William Barnett and
Seungmook Choi
Journal of Business & Economic Statistics, 1989, vol. 7, issue 3, 363-77
Abstract:
Separability assumptions on functional structure have received a great deal of attention from econometricians and economic theorists because (1) separability provides the fundamental linkage between aggregation over goods and the maximization principles in economic theory, (2) separability provides the theoretical basis for partitioning the economy's structure into sectors and (3) separability provides a theoretical hypothesis, which can produce parameter restrictions, permitting great simplification in estimation of large demand systems. The power of the various available tests for separability has never been determined, however. We conduct Monte Carlo studies to examine the capability of currently available methods to provide correct inferences about separability.
Date: 1989
References: Add references at CitEc
Citations: View citations in EconPapers (47)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Chapter: A Monte Carlo Study of Tests of Blockwise Weak Separability (2004) 
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:bes:jnlbes:v:7:y:1989:i:3:p:363-77
Ordering information: This journal article can be ordered from
http://www.amstat.org/publications/index.html
Access Statistics for this article
Journal of Business & Economic Statistics is currently edited by Jonathan H. Wright and Keisuke Hirano
More articles in Journal of Business & Economic Statistics from American Statistical Association
Bibliographic data for series maintained by Christopher F. Baum ().