[1] - added Deep poverty impact

[masterismail]

example usage

The policy used can be found here

by age

from policyengine import EconomicImpact

impact = EconomicImpact(reform={
  "gov.hmrc.income_tax.rates.uk[0].rate": {
    "2024-01-01.2100-12-31": 0.55
  }},country="uk")

child = impact.calculate("poverty/deep/child")
adult = impact.calculate("poverty/deep/adult")
senior = impact.calculate("poverty/deep/senior")
all = impact.calculate("poverty/deep/gender/all")


print(f"child = {child} \n adult = {adult} \n senior = {senior} \n all = {all} ")

output

child = {'baseline': 2.44, 'reform': 2.45, 'change': 0.7} 
 adult = {'baseline': 2.6, 'reform': 2.7, 'change': 3.9} 
 senior = {'baseline': 1.76, 'reform': 1.76, 'change': 0.5} 
 all = {'baseline': 2.41, 'reform': 2.47, 'change': 2.7} 

by gender

from policyengine import EconomicImpact

impact = EconomicImpact(reform={
  "gov.hmrc.income_tax.rates.uk[0].rate": {
    "2024-01-01.2100-12-31": 0.55
  }},country="uk")

male = impact.calculate("poverty/deep/male")
female = impact.calculate("poverty/deep/female")
all = impact.calculate("poverty/deep/gender/all")


print(f"male = {male} \n female = {female} \n all = {all} ")

output

male = {'baseline': 2.66, 'reform': 2.73, 'change': 2.5} 
 female = {'baseline': 2.16, 'reform': 2.23, 'change': 2.9} 
 all = {'baseline': 2.41, 'reform': 2.47, 'change': 2.7}