European Cultural Models in Statistical Perspective: A High-dimensionally Adjusted Cultural Index for the EU Countries, 2005-2009

Andrej Srakar (), Miroslav Verbič and Vesna Copic
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Vesna Copic: Faculty of Social Sciences, University of Ljubljana, Slovenia

No AWP-06-2015, ACEI Working Paper Series from Association for Cultural Economics International

Abstract: In the article, we present the construction of a cultural index using datasets of Eurostat’s Cultural Statistics Pocketbooks from 2007 and 2011 and Eurostat’s COFOG data. The datasets allow us a broad perspective over a set of more than 200 variables in 12 domains for the EU-27 member states. Using high-dimensionally adjusted factor analysis (Metropolis-Hastings Robbins-Monro algorithm), we construct a cultural index and determine a set of several cultural dimensions (as seen from the cultural statistics viewpoint). Using clustering analysis, we determine the general similarities and differences of observed cultural models and show several broadly different groupings that roughly, but not exclusively follow the divide speculated in some previous studies. The analysis therefore brings a novel and first statistically developed tool to empirically follow the changes in the condition of culture from the viewpoint of cultural statistics, while the clustering of models has important consequences for empirical cultural policy and has to be verified in future studies.

Keywords: Cultural statistics; European cultural models; Eurostat; composite indicators; multivariate analysis; Metropolis-Hastings Robbins-Monro algorithm (search for similar items in EconPapers)
JEL-codes: C38 Z11 Z18 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2015-07, Revised 2015-07
New Economics Papers: this item is included in nep-cul and nep-eur
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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