Reference

Optimal Allocation Functions
Binary Optimal Allocation Functions Allocate W units of resources among N individuals. Each i of N gets 0 or 1.
ffp_opt_sobin_target_row()	Theorem 1 and 2, solves the binary targeting queue with Ai_i, alpha_i, and planner preferences, for one individual
ffp_opt_anlyz_rhgin_bin()	Theorem 1, Binary Optimal Allocation solution, loop along a vector of planner inequality preference (rho)
ffp_opt_sobin_rev()	Theorem 1, Equation 6, Resource Equivalent Variation
Discrete Optimal Allocation Functions Allocate W units of resources among N individuals. Each i of N gets some discrete units between individual minimum and maximum.
ffp_opt_anlyz_rhgin_dis()	Discrete Optimal Allocations, Queue, and Values
ffp_opt_sodis_value()	Value at each W point along Queue, for one planner rho, given optimal allocation
ffp_opt_sodis_rev()	Discrete Problem Resource Equivalent Variation
ffp_opt_anlyz_sodis_rev()	Discrete Problem Resource Equivalent Variation Multiple Rhos
Linear Bounded-Continuous Optimal Allocation Functions Allocate W units of resources among N individuals. Each i of N gets some continuous amount below minimum and maximum
ffp_opt_solin_relow()	Theorem 1, Binary Optimal Allocation solution, for one planner inequality preference (one rho value)
ffp_opt_anlyz_rhgin()	Theorem 2, Bounded Linear Allocation solution, loop along a vector of planner inequality preference (rho)
Optimal Allocation of Stimulus Checks Allocation files for Nygaard, Sorensen and Wang (2020) the optimal allocation of COVID-19 simulus checks.
ffp_snw_graph_feasible()	This is a support function that provides visualization for optimal allocation results.
ffp_snw_process_inputs()	Solving optimal allocation for Nygaard, Sorernsen and Wang (2020) given MPC and C simulation results.
ffp_snw_process_inputs_core()	Contains file processing components of ffp_snw_process_inputs function
ffp_snw_stimulus_checks_bush()	US Economic Recovery Act of 2008 Bush Stimulus Check amounts (tax-rebates) by household type and income array for Nygaard, Sorernsen and Wang (2021)
ffp_snw_stimulus_checks_bush_add2dfid()	Given dataframe solve for stimulus across household types and find relaxed policy bounds as defined by counterfactuals.
ffp_snw_tax_liability()	US 2008 Tax liability by household type given income for Nygaard, Sorernsen and Wang (2021)
ffp_nsw_opt_anlyz_rhgin_dis()	Discrete Optimal Allocations, Queue, and Values. NSW version.
ffp_nsw_opt_sodis_value()	Value at each W point along Queue, for one planner rho, given optimal allocation. NSW version.
Data
Simulated Data Illustrative Testing
ffd_draw_n_alpha()	Generate N=2 Data for Discrete and Bounded Continuous Examples
Raw Datasets Testing datasets
df_opt_birthwt	Test Dataset Birth Weight
df_opt_caschool	Test Dataset California Test Score Data
df_opt_nccrimes	Test Dataset North Carolina Crimes
df_opt_dtgch_aorig	Test Dataset Panel Height and Weight, Guatemala and Philippines, scrambled data, not actual.
df_opt_dtgch_cbem4	Test Dataset Panel Height and Weight, Philippines, scrambled data, not actual.
df_opt_lalonde_training	Test Dataset Job Training Effects Lalonde AER 1986
df_nsw_tiny_chk168_df_id	NSW Test Household ID file
Datasets with Optimal Allocation Results Datset files with additional columns that store optimal allocation results or allocation space parameters
df_opt_dtgch_cbem4_rrlop	Optimal Linear Allocation based on dtgch cbem4 solved by solin relow
df_opt_dtgch_cbem4_rrlop_allrh	Optimal Linear Allocation based on dtgch cbem4 solved by solin relow, multiple rhos, collected
df_opt_dtgch_cbem4_rrlop_argin	Optimal Linear Allocation dtgch cbem4, solin relow, multiple rhos, GINI
df_opt_lalonde_training_employ	Lalonde AER 1986 with Wage Regression Allocation Queue
df_opt_lalonde_training_wage	Lalonde AER 1986 with Wage Regression Allocation Queue
df_opt_caschool_prep_i	Test Dataset California Test Score Data: PREP I Frame, Select Input and Estimation Dates
df_opt_caschool_input_ib	Test Dataset California Test Score Data: IB Frame, Alternative Allocation
df_opt_caschool_input_il	Test Dataset California Test Score Data: IL Frame, Generated Effect Each Additional Allocation
Support Files Support functions and sample files that generate allocation space parameters from estimation space
ffy_opt_dtgch_cbem4()	Generates A_i and alpha_i for linear and log linear problems Cebu 4 Groups
ffy_opt_ghthm_dk()	ghthm = graph theme, support theme files