ffd_draw_n_alpha: Generate N=2 Data for Discrete and Bounded Continuous...

In FanWangEcon/PrjOptiAlloc: The Optimal Allocation of Resources Among Heterogeneous Individuals

Description

Generates arbitrary dataframes needed for discrete as well as continuous optimization problems when there are N individuals?

Usage

ffd_draw_n_alpha(
  fl_w_dollar = 100,
  it_w_units_avg = 5,
  fl_eh_max_inc_i = 5,
  fl_min_max_eh_inc_ratio = 1.5,
  fl_disc_cts_match_ratio = 1.1,
  fl_A_i_alpha_i1_ratio = 2,
  fl_A_i_relative_ratio = 3,
  it_N = 2,
  it_rand_seed = 123
)

Arguments

fl_w_dollar	float amount of aggregate resources in dollar for both individuals
it_w_units_avg	float number of goods for cts at max, approxi number for dis
fl_eh_max_inc_i	float maximum increase EH for one individual
fl_min_max_eh_inc_ratio	float ratio of maximum and minimum outcome increase
fl_disc_cts_match_ratio	float if 1, disc unit = it_w_units_avg
fl_A_i_alpha_i1_ratio	float A_i divide the alphi_il ratio, discrete set this
fl_A_i_relative_ratio	float Relative ratio of A between the two individuals
it_N	integer the number of individuals
it_rand_seed	integer random seed

Author(s)

Fan Wang, http://fanwangecon.github.io

FanWangEcon/PrjOptiAlloc documentation built on Jan. 25, 2022, 6:55 a.m.