Titre : | Classifying Non-banking Monetary Systems using Web Data |
in : | |
Auteurs : | Ariane Tichit, Auteur ; Clément Mathonnat, Auteur ; Diego Sébastien Landivar, Auteur |
Type de document : | Working Paper |
Mention d'édition : | November 2015 |
Editeur : | Clermont-Ferrand : Centre d'études et de recherches sur le développement international (Cerdi), 2015 |
Collection : | Études et Documents Cerdi, ISSN 2114-7957, num. 30 |
Format : | 26 p. |
Langues: | Anglais |
Catégories : |
[Eurovoc] ÉDUCATION ET COMMUNICATION > communication > système de communication > Internet > web sémantique [Eurovoc] FINANCES > économie monétaire > marché monétaire > monnaie > monnaie virtuelle |
Tags : | non-banking money ; text mining ; web data ; downward hierarchical clustering ; similarity analysis |
Résumé : | This paper develops a new classification of non-banking currencies projects based on a lexical analysis from web data. The advantage of this method is to derive an endogenous typology of monetary projects, based on how currencies are depicted on the internet. Therefore, it allows to by-pass issues face for now in the literature to uncover a clear classification of non-banking currencies projects from exogenous elements. Our textual corpus consists in 320 web pages, corresponding to 1210 text pages. We first applied to our data a downward hierarchical clustering, which enables us to endogenously derive five different classes, allowing us to operate distinctions not only between non-banking currencies projects, but also between these latter and the standard monetary system. Then, we resorted to a similarity analysis and according to our results; all non-banking currencies projects define themselves in relation to the standard monetary system, with the exception of Local Exchange Trading Systems (LETs). |
Axe de recherche : | Financement du développement |
En ligne : | https://halshs.archives-ouvertes.fr/halshs-01230219 |
Traduction de : |
Documents numériques (1)
https://halshs.archives-ouvertes.fr/halshs-01230219/file/2015.30.pdf URL |