Some conceptual aspects of measuring homogeneity of industrial data from manufacturing censuses and surveys

Article type: Research Article

Authors: Potter, Harley D.¹

Note: [1] Harley D. Potter holds an M.A. in economics from the University of Minnesota and was employed for nineteen years in an Analysis and Development Section now part of the Industry Division of Statistics Canada. For a number of years prior to his retirement he was the Section chief.

Abstract: The importance of homogeneity in industrial data warrants the development of methods by which it may be measured for some particular purposes. These methods can be described by way of illustrating a general conceptual framework. The most commonly used homogeneity ratio, the primary product specialization ratio, can be shown to be a special case with certain characteristics. Some related or subordinate conceptual issues arise in actual application of this common homogeneity ratio and its conceptual applications can be highlighted. The general conceptual framework can also be applied to results of non-industrial surveys.

DOI: 10.3233/SJU-1988-5402

Journal: Statistical Journal of the United Nations Economic Commission for Europe, vol. 5, no. 4, pp. 359-375, 1988