Update demographic parameters to TxSxJ shape#12
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Add income_percentiles=p.lambdas.flatten() to get_pop_objs calls so demographics now returns (T, S, J)-shaped arrays for omega, rho, and imm_rates. Also sum omega_SS over J before passing to get_e_interp, which expects 1-D age weights. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Pass demog80["omega_SS"] (shape S x J) directly to get_e_interp instead of summing over J first. In income.py, replace the omega_SS.reshape(S, 1) * lambdas.reshape(1, J) pattern with plain omega_SS, since the joint age-income distribution is now stored directly in omega_SS rather than being reconstructed from the marginal age distribution and lambdas. The utils.Inequality class already handles 2-D pop_weights natively, so those call sites need no change. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
Updates the country calibration to match the new
(T, S, J)-shaped demographic objects from OG-Core'sdemog_Jbranch.income_percentiles=p.lambdas.flatten()to bothget_pop_objscalls incalibrate.py— required by the updatedexpand_pop_obj_Jfunctionomega_SSover the J dimension before passing toget_e_interp, which expects 1-D age weightsogbra_default_parameters.jsonwith the new demographic array shapes:omega,rho,imm_rates:(400, 80, 7)(was(400, 80))omega_SS,rho_preTP,imm_rates_preTP,omega_S_preTP:(80, 7)(was(80,)or absent)g_n_ss,g_n_preTP: new scalar entriesg_n:(400,)unchangedDepends on: OG-Core
demog_JbranchTest plan
ogbra_default_parameters.jsonloads correctly with the updated OG-Coreogbraunit tests once OG-Coredemog_Jis merged and installed🤖 Generated with Claude Code