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Inferences about Economies of Scale DO Depend on the Form of Statistical Analysis

A Reconciliation

Bibliographic Data

ID2555401
AuthorsAlexander Macmillan (0000-0003-1277-0048, corresponding author), Alexander Mac Millan (Queen's University, corresponding author), Richard L Daft (Mitchell Institute)
Year1984
Volume62
Issue4
Pages1059-1067
Publication date1984-06-01
Open AccessNo
TypeARTICLE
VenueSocial Forces (JOURNAL)
Journal identifiersISSN: 0037-7732 • E-ISSN: 1534-7605
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/sf/62.4.1059
OpenAlexW2137719004, W4235285636
LanguageEN
Citations received2
References cited6

Feinberg and Trotta report simulation experiments of administrative scale relationships that show inference inconsistency across statistical models. Their findings are contrasted with our previous analysis (MacMillan and Daft, a) that reported inference consistency across statistical models with respect to definitional dependency. This paper reconciles the two sets of findings by concluding that definitional dependency is not a problem in ratio variable research, but measurement error may cause inference inconsistency. Three recommendations are suggested for investigators who use ratio variables to study organization scale and similar sociological relationships.

Cartography · Causal inference · Consistency (knowledge bases) · Dependency (UML) · Econometrics · Economic geography · Economics · Economies of scale · Geography · Inference · Microeconomics · Scale (ratio) · Statistical analysis · Statistical inference · Statistics · Variable (mathematics) · Artificial Intelligence · Computer Science · Economic Theory and Institutions · Energy Efficiency and Management · Experimental Behavioral Economics Studies · Mathematics · Occupational and Professional Licensing Regulation · Psychology · Sports Analytics and Performance · Wine Industry and Tourism

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Citations per year0.07
Citation span1985 - 1990 (6)
Highly citedNo

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