Incorporating micro-feedback effects

In [1]:

    

import sys
sys.path.append("../../")
import taxcalc
from taxcalc import *
import pandas as pd
import numpy as np


    

In [3]:

    

# Create a Records object for Plan X and Plan Y
records_x = Records("../../puf.csv")
records_y = Records("../../puf.csv")
# Create a Parameters object for Plan X and Plan Y
params_x = Parameters(start_year=2013)
params_y = Parameters(start_year=2013)
# Create two Calculators
calcX = Calculator(parameters=params_x, records=records_x)
calcY = Calculator(parameters=params_y, records=records_y)


    

    




You loaded data for 2008.
Your data have beeen extrapolated to 2013.
You loaded data for 2008.
Your data have beeen extrapolated to 2013.

In [6]:

    

# Modify the relevant parameter for the Plan-Y Calculator.
calcY.II_rt7 = calcY.II_rt7 + .1
# Demonstrate that Plan X and Plan Y calculators are indeed different. 
print(calcX.II_rt7)
print(calcY.II_rt7)


    

    




0.396
0.496

In [10]:

    

# Call the behavioral effects calculator and create a new Plan Y Calculator obect. 
calcY_behavioral = behavior(calcX, calcY)
# Demonstrate that taxpayers' income was affected by the tax change.
print(calcY.e00200.sum())
print(calcY_behavioral.e00200.sum())


    

    




41460794504.8
40996640481.9

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