I am hoping to use IMPLAN to model a change in the number of households (and/or population) in my study area, to analyze the effects of in-commuters living in the study area, rather than outside it. Since the demographic data can't be changed, is there a way to model it using one of the activities in IMPLAN? Since there would be new households (no change in jobs), and therefore construction increases presumably, it seems like there would be direct, indirect and induced impacts. Based on articles, it looks like the best way to account for that would be by using an institutional change for each household group, adding the expected increase in household spending. If I estimate the number of new residents by income group using PUMS data, what would be the best way to model the increase in spending? One option seems to be to use the average salary by income group (i.e. for the $50-75K group use $62.5K), and apply to the number of new residents. Would I need to adjust that dollar value for taxes, savings or other costs? Is there a more appropriate method using labor or household income? Thanks.
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