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Working paper

Построение рейтингов журналов по экономике с помощью методов теории коллективного выбора

The data on 212 economic journals are used to produce qualitative estimates of (in)consistency of evaluations based on the main bibliometric indices (2- and 5-year impact-factors, immediacy index, SNIP, SJR, Hirsch index, article influence). Aggregated rankings are calculated. These rankings aggregate the information on journals’ comparative values contained in separate index rankings. A new approach for the construction of aggregated rankings is proposed, based on several methods of social choice theory. Rankings are aggregated by simple majority rule. The result of the aggregation is a binary relation showing which journal from a given pair is better than the other one with respect to majority of indices used for their evaluation. A social choice solution concept based on majority relation (Copeland rule, Markov ranking, the uncovered set and the minimal externally stable set) is applied to determine journals to be considered as the best ones in a given set of journals. An aggregated ranking is produced as a result of a multistage procedure of selection and exclusion of the best journals.