Conversations (3)
The
reporting_entity field shows that about 15% of rows have changed their entity code between the first and second half of the year, which is unusual. If the same location can report under different codes, that creates a matching problem in the time series. Should we standardize the entity codes, or should we note the instability?a currency effect in the back half of the series?
Can someone explain the jump between these two consecutive readings? It doesn't match any known event.
The interaction between the two factors — call them X and Y — might be the real story here. Have we looked at the cross-tabulation or run an interaction test?