How close? An attempt at measuring the cultural distance between countries
AbstractWe present a (to the best of our knowledge) new method for evaluating the relative distance between any two countries, among several, on the basis of individual data. First, clusters of respondents are formed and the proportion of each country’s respondents who belong to the various clusters is calculated. Under the assumptions that 1) respondents in the same cluster are similar to one another (and different from those who belong to different clusters), and 2) that two countries are close to each other when their nationals distribute similarly between clusters, the distance between countries can be expressed in terms of distance between the observed distributions (the average of the squared differences between the ranks). The method is applied to the WVS (World Value Survey) dataset for the years 1994-2007, first separately, by “domain” (opinions and attitudes on, e.g., religion, politics, and family), and then on all of the (selected) variables together. On the basis of the data of the WVS, this procedure leads us to conclude that Italy and Poland, the two countries of interest in this study, are very close to each other in the European context.
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Bibliographic InfoPaper provided by Institute of Statistics and Demography, Warsaw School of Economics in its series Working Papers with number 62.
Length: 63 pages
Date of creation: 2014
Date of revision:
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Cultural Distance; European countries; Cluster analysis;
Find related papers by JEL classification:
- Z1 - Other Special Topics - - Cultural Economics
- Y8 - Miscellaneous Categories - - Related Disciplines
This paper has been announced in the following NEP Reports:
- NEP-ALL-2014-02-02 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Solveig Christiansen & Nico Keilman, 2013. "Probabilistic household forecasts based on register data- the case of Denmark and Finland," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(43), pages 1263-1302, June.
- Jan M. Hoem & Giuseppe Gabrielli & Aiva Jasilioniene & Dora Kostova & Anna Matysiak, 2010. "Levels of recent union formation," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(9), pages 199-210, February.
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