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A Monte Carlo Study of Tests of Blockwise Weak Separability

Bibliographic Data

ID19420175
AuthorsWilliam A Barnett (0000-0002-1280-2663, University of Texas), Seungmook Choi (University of Nebraska), Seung-Mook Choi (University of Nebraska at Omaha)
Year1989
Volume7
Issue3
Pages363-377
Publication date1989-07-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.1989.10509745
OpenAlexW4239608152
LanguageEN
Citations received5
References cited39

Separability assumptions on functional structure have received a great deal of attention from econometricians and economic theorists because (a) separability provides the fundamental linkage between aggregation over goods and the maximization principles in economic theory, (b) separability provides the theoretical basis for partitioning the economy's structure into sectors, and (c) 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

Econometrics · Economics · Mathematical economics · Mathematical optimization · Maximization · Monte Carlo method · Statistics · Utility maximization · Computer Science · Economic theories and models · Economics of Agriculture and Food Markets · Global trade and economics · Mathematics

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Unique citing works5
Citations per year0,14
Citation span1990 - 2003 (14)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 5
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