Distributional charts

[masterismail]

Usage

Distributional / by Income / Relative

# Import necessary modules
from policyengine import EconomicImpact

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

# Calculate the Gini coefficient
rel = impact.chart("distributional/by_income/relative")

print("rel")

Distributional / by Income / Average

# Import necessary modules
from policyengine import EconomicImpact

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

# Calculate the Gini coefficient
avg = impact.chart("distributional/by_income/average")

print("avg")

Distributional / by wealth / Relative

# Import necessary modules
from policyengine import EconomicImpact

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

# Calculate the Gini coefficient
rel = impact.chart("distributional/by_wealth/relative")

print("rel:")

Distributional / by wealth / Average

# Import necessary modules
from policyengine import EconomicImpact

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

# Calculate the Gini coefficient
avg = impact.chart("distributional/by_wealth/average")

print("avg:")