Cluster and Discriminant Analysis on Time-Series as a Research Tool

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

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Year of publication:	2011
Authors:	Galbraith, James K. ; Lu, Jack
Publisher:	[S.l.] : SSRN
Subject:	Clusteranalyse \| Cluster analysis \| Zeitreihenanalyse \| Time series analysis \| Theorie \| Theory \| Diskriminanzanalyse \| Discriminant analysis \| Regionales Cluster \| Regional cluster

Extent:	1 Online-Ressource (16 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: INEQUALITY AND INDUSTRIAL CHANGE: A GLOBAL VIEW, Chapter 16, James K. Galbraith and Maureen Berner, eds., Cambridge University Press, 2001 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 1, 1999 erstellt
Other identifiers:	10.2139/ssrn.228678 [DOI]
Classification:	C1 - Econometric and Statistical Methods: General ; C4 - Econometric and Statistical Methods: Special Topics ; C63 - Computational Techniques ; E32 - Business Fluctuations; Cycles ; J31 - Wage Level and Structure; Wage Differentials by Skill, Training, Occupation, etc ; L13 - Oligopoly and Other Imperfect Markets ; L16 - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure; Industrial Price Indices ; O38 - Government Policy
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014156247