GDP clustering: A reappraisal

Michele Battisti and Christopher Parmeter

Economics Letters, 2012, vol. 117, issue 3, 837-840

Abstract: This note explores clustering in cross country GDP per capita using recently developed model based clustering methods for panel data. Previous research characterizing the components of the overall distribution of output either use ad hoc methods, or methods which ignore/subvert the panel nature of the data. These new methods allow the characterization of the possible autoregressive relationship of output between time points. We show that traditional static clustering decade by decade gives mixed results regarding clustering over time, while the application of longitudinal mixtures presents three distinct clusters at all periods of time.

Keywords: Mixture densities; Output; Autoregressive; Isotropic (search for similar items in EconPapers)
JEL-codes: C33 O15 O16 O47 (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:117:y:2012:i:3:p:837-840

DOI: 10.1016/j.econlet.2012.08.038

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