Cluster and Discriminant Analysis on Time-Series as a Research Tool
INEQUALITY AND INDUSTRIAL CHANGE: A GLOBAL VIEW, Chapter 16, James K. Galbraith and Maureen Berner, eds., Cambridge University Press, 2001
16 Pages Posted: 12 Jun 2000 Last revised: 25 Apr 2011
Date Written: January 1, 1999
This paper presents a procedure for studying industrial performance and related issues such as changes in the wage structure. This procedure combines cluster analysis and discriminant analysis as a package, and applies this package to time series data. This enables us to organize industrial data into groups with similar wage or performance histories and then to extract summary time-series showing the main pattern of variation in performance between groups.
Keywords: cluster, discriminant, time-series
JEL Classification: C1, C4, C63, E32, J31, L13, L16, O38
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