Clustering and polarization in the distribution of output: A multivariate perspective

Michele Battisti, Christopher F. Parmeter

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

Modeling the cross-country distribution of per capita income using mixture analysis provides a natural platform for the detection of clubs of countries. Unfortunately, these mixture methods, when based on a strictly univariate approach are limiting towards one's ability to learn about the underlying process of the emergence of what constitutes a club. This paper takes a fresh look at the constitution of the emerging clubs in the distribution of cross-country output using bivariate and multivariate mixture analysis. Our results suggest that clubs are also forming in the main Solowian determinants of economic growth.

Original languageEnglish (US)
Pages (from-to)144-162
Number of pages19
JournalJournal of Macroeconomics
Volume35
Issue number1
DOIs
StatePublished - Mar 1 2013

Keywords

  • Convergence
  • Mixture densities
  • Orientation

ASJC Scopus subject areas

  • Economics and Econometrics

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