After all donor variables have been fused, there is the option of performing a final calibration of both consumption and expenditure variables to match state-level values from EIA SEDS macrodata (keeping in mind that there are potential issues with such data).
Average per-household consumption and residential prices, by fuel, state, and year -- derived from EIA SEDS (see here for code) -- are available in the geo_predictors.fst file. Multiply the fused estimates by state-specific correction factors to produce weighted state totals that match EIA SEDS.
After all donor variables have been fused, there is the option of performing a final calibration of both consumption and expenditure variables to match state-level values from EIA SEDS macrodata (keeping in mind that there are potential issues with such data).
Average per-household consumption and residential prices, by fuel, state, and year -- derived from EIA SEDS (see here for code) -- are available in the
geo_predictors.fstfile. Multiply the fused estimates by state-specific correction factors to produce weighted state totals that match EIA SEDS.