Cultural data integration via random graphical modelling
arxiv(2023)
摘要
Cultural values vary significantly around the world. Despite a large
heterogeneity, similarities across national cultures are to be expected. This
paper studies cross-country culture heterogeneity via the joint inference of
copula graphical models. To this end, a random graph generative model is
introduced, with a latent space that embeds cultural relatedness across
countries. Taking world-wide country-specific survey data as the primary source
of information, the modelling framework allows to integrate external data, both
at the level of cultural traits and of their interdependence. In this way, we
are able to identify several dimensions of culture.
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