QUANTITATIVE ANALYSIS OF WORLD DEVELOPMENT: A Cluster Analytic Approach

J. A. Zerby and M. Habibullah Khan*

Pakistan Journal of Applied Economics, 1983, vol. 2, issue 1, 39-65

Abstract: A number of multivariate statistical techniques such as Principal Component Analysis, Factor Analysis, Discriminant Analysis, Cannonical Analysis and Multidimensional Scaling have so far been applied to the study of development. Some of these applications are examined and it is suggested that a new technique known as ‘Cluster Analysis’ can be used more effectively than the previous ones for analysing the nature and process of development. As an illustration, the technique is applied to group 108 countries on the basis of 120 socioeconomic indicators. The selected countries are also ranked on various social and economic scales by using the Wroc1aw Taxonomic Method and the results provide a lot of important information about the structure of world development.

Date: 1983
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.aerc.edu.pk/wp-content/uploads/2017/03/3rd-Paper-Page-39-65-1.pdf (application/pdf)

Related works:
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:pje:journl:article1983sumiii

Access Statistics for this article

More articles in Pakistan Journal of Applied Economics from Applied Economics Research Centre Contact information at EDIRC.
Bibliographic data for series maintained by Samina Khalil ( this e-mail address is bad, please contact ).