What is the impact of serial correlation on the indices?

Serial correlation describes the dependence of counts of successive time-points (years) and can be either positive or negative. Serial correlation has a small effect on the indices, except when there are very few data. Taking into account serial correlation frequently implies larger standard errors. Incorporate it into the model (unless the model cannot be estimated then), otherwise the standard errors are expected to be underestimated.