
In economic applications, the presence of autocorrelation in the residuals is often the result of a mis-specification of the underlying model(1). One important form of mis-specification occurs when the true model is dynamic and the investigator wrongly assumes that it is static. The estimated residuals from a regression equation are then likely to show some degree of autocorrelation. In such cases, the Durhin-Watson d statistic(2) gives ample warning that something is wrong. Rut, although the signal is right, the reason for it might not have anything to do with autocorrelation. It might simply mean that some dynamic effect has heen neglected.
| 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). | 2 | |
| 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 |
