The Situation: I've set up 14 regional models (each model is an aggregation of several counties) covering the entire State of California. For each regional model, I've linked the other 13 models for MRIO analysis. (I have 14 separate folders, with each folder containing all the 14 models, so each model file is only used once in an MRIO model). The Problem: When I run an MRIO (say for San Francisco Bay Area as the primary region linked to the other 13 models) - I get normal results in 9 of the linked models but inconsistent results in 4 regions, i.e. ridiculously high numbers for induced effects, in millions of jobs for approx $300,000 construction spending. See attachment for a screenshot of results in one of the affected regions. I've run this several times with different regional models as Primary but I get the same inconsistent results in the same regional models. I've re-created these 4 regional models and replaced them but I'm still getting the same results. FYI, The 4 regional models contain the following counties: Region 1 (San Luis Obispo, Santa Barbara, Ventura), Region 2 (Inyo, Mono); Region 3 (Riverside, San Bernardino); and Region 4 (Los Angeles). I'll really appreciate your speedy response. Thanks.
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