Rankings of Academic Journals and Institutions in Economics
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Notice bibliographique
Résumé
There has been a lot of recent research literature on rankings of economics \ndepartments throughout the world. They serve as signals tools for attracting new faculty and retaining older in highly ranked institutions and also help attract the best graduate students who have academic aspirations. Many times these rankings are used by university administrators to allocate scarce education funds to di¤erent departments according to their success in these rankings. There has been a long standing tradition for US economic departments to be ranked (see Scott and Mitias (1996) and Dusansky and Vernon (1998) for recent such rankings). Recent European studies of this kind include Kirman and Dahl \n(1994) and Kalaitzidakis, Mamuneas and Stengos (1999). There have been also \nrankings of departments in Asia (see Jin and Yau (1999)), Canada (see Lucas (1995)), as well as Australia (see Harris (1990)). Rankings are also constructed in other related disciplines such as finance for the same reasons outlined above, see Chung and Cox, (1990)). Coupé (2000) provides a comprehensive ranking of economic departments \nworld-wide. His ranking methodology is based on employing various performance measures from the existing literature, such as the citations weighted journal ranking by Laband and Piette (1994), to assess the output of individual researchers and then according to their a¢liation compute the department \nrankings. He reports the rankings from the different methodologies and he also \npresents a ranking based on the average of these different methods. However, the latter ranking is based on averaging rank statistics and as such it is not very \ninformative. A common drawback that permeates most of the studies that produce department rankings is that they are based on a certain ranking of economic journals that was itself constructed over a certain time period that typically is different from the corresponding period of the department rankings. Hence, a typical list of journals that is citations weighted uses weights that correspond to an earlier period from the current one. That means that the most current \nresearch outlets that are used by the profession (new journals, improved older \njournals etc.) are not used with their true weights for the period under investigation. \nHence, potentially rankings that use a list of research journals with weights from a di¤erent period may produce biased and unreliable rankings for the current period. In this paper we try to rectify this defficiency in the literature by both computing an updated list of journal rankings with current weights computed from their citations impact and then use those to produce a world wide ranking of academic institutions. \nThe paper is organized as follows. The next section provides the methodology that we employ to arrive at the new journal rankings. We provide details of the way that we arrive at these journal rankings that form the weights to be used for the derivation of the institutional rankings as well as the methodology that is used to construct the latter. In the next section we discuss the results. Finally we conclude.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle