Policy Analytics shows county a forecasting tool to model LIT scenarios using census and revenue data

Sam RB of Policy Analytics presented a forecasting model built to project unit-level LIT revenues under hypothetical rate scenarios and distribution methodologies. He said the model uses American Community Survey and Census Bureau population data (presenter cited both 2020 and 2023 data for different distribution purposes) plus recent Department of Revenue collection data to estimate adjusted gross income by municipality and to simulate outcomes such as a 0.4% EMS LIT or municipal opt-outs.