A pragmatic model to estimate journal quality in accounting

This article presents a model to estimate the relative quality of publication outlets based on objective journal characteristics. Our model improves upon the one proposed by Bean and Bernardi [Bean, D. F., & Bernardi, R. A. (2005). Estimating the ratings of journals omitted in prior quality ratings. Advances in Accounting Education, 7, 109–127.] in three important ways. First, we develop a dependent variable that is a composite score based on five prior journal perception studies. Second, our model considers different independent variables; audience, journal availability, inclusion in the Social Sciences Citation Index (an independent measure of quality), and the journal’s submission fee. This combination of variables increases the model’s explanatory power by 21% compared to Bean and Bernardi’s average R 2. Finally, the results of our model are more consistent with those of prior perception studies. We also apply the model to recent accounting faculty publications, which provides a comparative rating of more than 200 journals. We expect our model for estimating journal quality to help faculty, promotion and tenure committees, and university administrators evaluate the quality of journals where accounting faculty publish, an important aspect of assessing research productivity.