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.
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.
The Bureau of Labor Statistic released updated data for North Dakota today, and as promised I am posting an update to the data from last week. Not much changed really. The preliminary unemployment rate for December 2016 is 3.0% which is the same as the revised rate for November. The November value was originally 2.9%. We are not going to get upset by a .1% revision.
I thought I would add another brief look at the data on North Dakota’s labor market before we close up the year with new data releases next week. Once again these data go through November of 2016, and start in the immediate aftermath of the problems in the oil industry.