I will be attending the Second State Demographics Conference in Bismarck on Monday the 27th. Okay, that is not quite accurate. I am giving a keynote address as well as running a breakout session. The keynote looks at the how and why of demographic analysis in the state of North Dakota. In the breakout I am actually showing how I came up with the various different items in my presentation from sources to analysis. The spreadsheet (or spreadsheets, not sure if it will be one Excel workbook or many) will be available at the conference and later on here.
Budget Negotiation Basics
While I have yet to read the budget document in its entirety I think people are short-changeing the strategic aspects to budget announcements. I include a typical news article below. Offering up a particular suggestion for direction and then being willing to give on some aspects likely gets you back where you wanted to be originally.
The Song Remains the Same
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.
Some local flavor, Grand Forks Sales Tax Data
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?
Continue reading Some local flavor, Grand Forks Sales Tax Data
Taxing my brain
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.