2009 vs 2006 and OtherPropertyTypeIncome

I have a couple of questions, 1) I am working with data from 2006 and in some cases, clusters appear to have shifted so dramatically that the results seem impossible. For example, in 2006 our "high tech" cluster had about $11 million in the category "OtherPropertyTypeIncome" by 2009 that total had boomed to $235 million. Could that be a change in methodology or could we chalk that up to so many severance packages being handed out in that period of time? 2) What constitutes the category "OtherPropertyTypeIncome"? Thank you for reading!
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  • Again, what are the sectors and what are the regions?
  • The sectors which boomed are 234-275 and 345 for one cluster and for the instance where other income went from positive to negative it was sector six. The area of study was Clackamas County, Oregon.
  • Starting with the 2007 data we used the 2002 US Benchmark study for our based IO table. The sectoring scheme changed. If you are directly comparing sectors between the two models you are not comparing the same sectors. Make sure you are comparing the same sectors. Here is a concordance table between the two sectoring schemes. http://implan.com/V4/index.php?option=com_docman&task=doc_download&gid=113&Itemid=7 The change in benchmark tables can result in changes in the value added elements, particularly other property type income. Also, 2009 was a major recession year and many industries went from profits to losses during that time period. Between the benchmark change and the recession, I suspect that is driving the OPTI to go from profit to loss. I will run this by our data experts when they return from the MCRSA conference.
  • Other property income is mostly corporate income and is one of the most difficult items for us to estimate. The data sources we use are state level 3 digit NAICs which will explain why things occur in "clusters". We use BLS QCEW data to derive wage and salary income which is 6-digit NAICs. To that we add the employee compensation using the compensation to wage and salary ratio data which is avalailable by county at 3-digit NAICs from the BEA REA data (formerly REIS). Proprietor income data is also available from BEA REA data as well (subtracting employee compensation from total income by 3-digit NAICs industry). The BEA also releases 3-digit NAICs GSP data. One of the components for the GSP data is Property income. Subtracting proprietor income from Property income is how we derive the Other Property Income for 3-digit NAICs income. These three digit control values are distributed to the detailed industries based on the Benchmark I-O characteristics for property income. From one year to the next it is possible for the sign to flip. This is also true for the proprietor's income.

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