Sales tax data is a continuing theme for me these days and so I thought we could look at any seasonal patterns in the data. I am going to hold off on the formal statistical tests for right now and we will go with the graphical approach. If there is seasonality in the data the graph should show common movements in the lines for different years. For example, if June is always a slow month for retail sales the collections should drop for most June observations compared to the May observations. I generate this for 2001 to 2017.
A closer look at recent sales tax data seems a logical follow-up to the long run view from last time. There are two things to note from this graph: 1) the negative trend is still clearly evident, and 2) the reduction in volatility from the twelve month rolling is clear.
I was asked about the path of sales tax collections in Grand Forks recently so I took to my trusty computer and made a graph. This looks at the rolling total tax accumulations by month for each of the last five years. There is a great deal of clustering for these years, but 2017 looks to be on track for one of the lowest years.
JT and I are devoting a portion of my weekly appearance to the Grand Forks Flood of 1997, and the business and economic consequences of the event. The consequences of some events are best understood with the perspective of time, and natural disasters are clearly this type of event. For today’s post I chose to look at unemployment, but in a slightly different way.
Last week on the Jarrod Thomas Show there was a caller suggesting some inconsistency between the data on Grand Forks sales tax and local economic events. I do not think this was an allegation of malfeasance, just that the numbers were not making sense. Sales taxes reached a record level in February of 2017, but the caller cited three factors seemingly at odds with this circumstance: Continue reading Comments about local sales tax