Fix NEED calibration to use gross income for income band assignment#288
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nikhilwoodruff wants to merge 3 commits intomainfrom
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Fix NEED calibration to use gross income for income band assignment#288nikhilwoodruff wants to merge 3 commits intomainfrom
nikhilwoodruff wants to merge 3 commits intomainfrom
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NEED 2023 income bands use Experian modelled gross household income, not net income. The previous code used hbai_household_net_income which misallocated households across bands (especially at extremes — too few in £100k+ bands). This switches to household_gross_income (LCFS P344p) for both the LCFS training calibration and the FRS 4D raking step. Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Claude <noreply@anthropic.com>
The test was evaluating NEED band fit using hbai_household_net_income while the raking now targets household_gross_income. Co-Authored-By: Claude <noreply@anthropic.com>
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Summary
NEED 2023 income bands are based on Experian modelled gross household income, but the calibration code was using
hbai_household_net_income(disposable income after taxes) to assign households to bands. This caused high-income households to be placed in lower bands than they should be, and vice versa — the £100k-£150k and £150k+ bands had far too few households.This switches to
household_gross_income(LCFSP344pfor training data,household_gross_incomevariable for FRS raking) in both calibration steps:_calibrate_energy_to_need)impute_consumption)The QRF model predictors are unchanged —
hbai_household_net_incomeremains a useful predictor for the consumption imputation model itself.Test plan