GDP clustering: a reappraisal

Michele Battisti, Christopher F. Parmeter, Michele Battisti

Risultato della ricerca: Articlepeer review

7 Citazioni (Scopus)


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.
Lingua originaleEnglish
pagine (da-a)837-840
Numero di pagine4
RivistaEconomics Letters
Stato di pubblicazionePublished - 2012

All Science Journal Classification (ASJC) codes

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