The state released an updated forecast from Moody’s today along with some slides that make little sense (found here). I would go into the details of the forecast but why bother? We have absolutely no insight into the forecast process followed, the assumptions underlying any model relationships, or even a list of variables employed and the time period considered. Seriously, if this were my forecasting class, they would fail.
For the last few days I focused on state level tax data. The release of a new forecast and the general state of the forecast process promises many more posts to come on this topic. I thought for today I would turn toward a more local number. Grand Forks had its largest month for sales tax collections in its recorded history. What does this look like?
I continue to think about the tax situation in North Dakota right now, particularly trying to understand what the data are trying to tell us. Obviously I want to avoid a situation of torturing the data until they confess, but that should not stop us from slicing and dicing the data to find something meaningful.
We are getting a new forecast this week for tax revenues in North Dakota. Or so we are told. I’ve written about the problems with these forecasts in the past, but there is a further issue here needing discussion. The simple fact of the matter is a lack of good practice in the overall approach, particularly with how forecast results are disseminated.
Just a few further thoughts, as yet completely unrefined, about the radio program today. The major discussion on the radio today was taxes. This is always an interesting topic because callers often provide multiple, and often contradictory, views of taxation. It is good that radio is not a visual medium (for many, many reasons) but the confused look on my face when listening to some of the callers would not be taken well I am sure.