
Earnings quality (EQ) has attracted special attention from researchers and their efforts have been to achieve a valid and reasonable method to assess it. In literature, there have been developed various definitions of EQ and have been proposed several approaches to measure it. Actually, there is no a generally accepted approach to measure EQ and empirical researchers use different empirical proxies that are likely related to desirable properties of accounting information. Although the existing plethora of acceptable methods for EQ measurement, none of these measures has revealed superior because EQ is considered a multidimensional concept that allows different users to interpret it differently. Therefore, the choice of an EQ measure depends on the research question posed and the availability of data and estimation models.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
