A Monte Carlo Study of Tests of Blockwise Weak Separability

Datos Bibliográficos

ID19420175
AutoresWilliam A Barnett (0000-0002-1280-2663, University of Texas), Seungmook Choi (University of Nebraska), Seung-Mook Choi (University of Nebraska at Omaha)
Año1989
Volumen7
Número3
Páginas363-377
Fecha de publicación1989-07-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Business and Economic Statistics (JOURNAL)
Identificadores de la revistaISSN: 0735-0015 • E-ISSN: 1537-2707
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.1989.10509745
OpenAlexW4239608152
IdiomaEN
Citas recibidas5
Referencias citadas39

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