We investigate the relationship between article title characteristics and citations in economics using a large data set from Web of Science. Our results suggest that articles with a short title that also contains a non-alphanumeric character achieve a higher citation count.JEL Code: A12, A14

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This paper investigates the efficiency of 188 economics departments around the world using data from RePEc. We go beyond the heavily used data envelopment analysis and utilize partial frontier analysis -specifically order-α and order-m -which addresses some of the drawbacks of the standard efficiency frontier analysis and allows for so-called super-efficient departments. We examine the particularities of these approaches and find that the super-efficient departments are not only the "usual suspects". Furthermore, standard output rankings are not well correlated with our estimated efficiency rankings, which themselves are rather similar. JEL-Codes: I210, I230, D610. Terms of use: Documents in

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We investigate the relationship between article title characteristics and citations in economics using a large data set from Web of Science. Our results suggest that articles with a short title that also contains a non-alphanumeric character achieve a higher citation count.

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