Faster way to run MRIO analysis?
I am trying to analyze at the impact of increased demand for primary care in multiple regions of North Carolina. The statewide aggregate "direct effect" will be split up across the regions, and will vary by region. I would like to have results for each region, as well as for the entire state. I plan to use the MRIO scenario analysis tool to run a scenario analysis for the demand shock in each region, with all other regions linked in order to capture the spillover effects (since these are occurring outside the region, but still within the state).
First of all, does the MRIO scenario analysis (with all other regions linked tool seem like a good way to go about this?
Second, is there a way to do this faster than the manual "point and click" method? There are 32 regions in this analysis; "point and click" will require me to link 31 models to the current model, run the analysis, export the results for the 32 regions, and then unlink the models so I can move on to the next one. I guess I could theoretically create 32 copies of each regional model to remove the need to unlink after each scenario, but that doesn't seem like a better option (it would result in 1,024 models, which seems pretty unwieldy). If there is any way to automate some or all of this process, I'd love to hear about. (If not, I'd love to see it in a later version of IMPLAN!)
One final question: I'm wondering why the results of the regional models do not add up to the statewide model. I ran a test using two regions and a "state" comprised of the two regions. I ran the "state" model with a $100,000 direct effect, and then ran MRIO models for both regions (with each one linked to the other). One region had a direct effect of $60,000, the other had $40,000. When I add the results of the two MRIO models, they do not sum to the results of the statewide model, even though the direct effects sum to the same amount in both cases. Any ideas why that might be?
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IMPLAN SupportHi Robert. The direct impacts should be the same in both models because you cannot have more or less in event values than what you initially started. The results from your models will never add up exactly because you are impacting different study areas with different economic structures and input demands in your study. Although the numbers will differ slightly, they should be within the generally accepted range of error (usually 5% or less on either side of the estimate). We know that any margin of difference is too larger, but this is really not too significant considering all of the manipulations that have occurred in getting to this point. You may consider scaling the results to narrow the margin of difference between individual regions and the total of the two regions in the model. As it relates to your question about a faster way of doing MRIO analysis, we are checking to see what other options there might be available to you outside of the current method that the IMPLAN model uses. We will provide you with a response as soon as we have an answer. We hope this helps.0
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