Created
November 13, 2013 16:42
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Basic income vs basic jobs model
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from pylab import * | |
from scipy.stats import * | |
num_adults = 227e6 | |
basic_income = 7.25*40*50 | |
labor_force = 154e6 | |
disabled_adults = 21e6 | |
current_wealth_transfers = 3369e9 | |
def basic_income_cost_benefit(): | |
direct_costs = num_adults * basic_income | |
administrative_cost_per_person = norm(250,75) | |
administrative_costs = num_adults * administrative_cost_per_person.rvs() | |
return direct_costs + administrative_costs | |
def basic_job_cost_benefit(): | |
administrative_cost_per_disabled_person = norm(500,150).rvs() | |
administrative_cost_per_worker = norm(5000, 1500).rvs() | |
disabled_cost = disabled_adults * (basic_income + administrative_cost_per_disabled_person) | |
num_basic_workers = (num_adults - disabled_adults - labor_force) | |
basic_worker_cost_benefit = num_basic_workers * ( | |
basic_income + | |
administrative_cost_per_worker | |
) | |
return disabled_cost + basic_worker_cost_benefit | |
N = 1024*32 | |
bi = zeros(shape=(N,), dtype=float) | |
bj = zeros(shape=(N,), dtype=float) | |
for k in range(N): | |
bi[k] = basic_income_cost_benefit() | |
bj[k] = basic_job_cost_benefit() | |
subplot(211) | |
width = 4e12 | |
height=50*N/1024 | |
title("Basic Income") | |
hist(bi, bins=50) | |
axis([0,width,0,height]) | |
subplot(212) | |
title("Basic Job") | |
hist(bj, bins=50) | |
axis([0,width,0,height]) | |
show() |
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