def test_incorrect_calc_all():
    """
    Test incorrect call of calc_all method.
    """
    # Do a quick "simulation" of executing response.calc_all(...) by setting
    # one of the calculated responses to anything other than None
    pre_calc_response = Response()
    pre_calc_response.investment_response = 9.99
    # Try to use pre_calc_response as argument to BusinessModel.calc_all method
    bizmod = BusinessModel(Policy(), itax.Policy(),
                           investor_data='nodata.csv')
    with pytest.raises(ValueError):
        bizmod.calc_all(response=pre_calc_response)
def test_reforms(reform_number, reforms, puf_subsample, actual_vs_expect):
    """
    Test BusinessModel corporate tax return results under reforms
    with no response.
    """
    bizmod = BusinessModel(reforms[reform_number]['policy_obj'],
                           itax.Policy(),
                           investor_data=puf_subsample)
    bizmod.calc_all(response=None)
    # compare actual and expected results
    dec = 3
    results = bizmod.corp_ref.taxreturn.combined_return.round(dec)
    fname = 'bizmod_corp_ref{}_expect.csv'.format(reform_number)
    actual_vs_expect(results, fname, precision=dec)
Example #3
0
        'newIntPaid_corp_hc': 1.0,
        'newIntPaid_corp_hcyear': 2018,
        'oldIntPaid_corp_hc': 1.0,
        'oldIntPaid_corp_hcyear': 2018,
        'newIntPaid_noncorp_hc': 1.0,
        'newIntPaid_noncorp_hcyear': 2018,
        'oldIntPaid_noncorp_hc': 1.0,
        'oldIntPaid_noncorp_hcyear': 2018
    }
}

# Create an individual-tax policy reform dictionary with no reform
iitax_refdict = dict()

# Create a BusinessModel object
BM = BusinessModel(btax_refdict, iitax_refdict)

# Execute the no-response calculations
BM.calc_noresponse()

# Look at the changes in total corporate and individual income tax liability
output_df = BM.ModelResults.round(3)
output_df.to_csv('example_results/nresp_model_results.csv', index=False)

# Take a closer look at corporate tax items under baseline and reform policy
output_df = BM.corp_base.taxreturn.combined_return.round(3)
output_df.to_csv('example_results/nresp_base.csv', index=False)
output_df = BM.corp_ref.taxreturn.combined_return.round(3)
output_df.to_csv('example_results/nresp_refm.csv', index=False)

# Look at differences in real effects on corporations without any responses
Example #4
0
def test_bm_corp0(with_response, actual_vs_expect, puf_fullsample, tests_path):
    """
    Test BusinessModel corporate results under a corporate-income-tax reform
    using calc_norespone() and calc_withresponse() with zero elasticities,
    checking that the two sets of results are the same.
    """
    # ensure that expected results in the two with_response cases are the same
    assert filecmp.cmp(os.path.join(tests_path,
                                    'bm_corp0_base_nresp_expect.csv'),
                       os.path.join(tests_path,
                                    'bm_corp0_base_wresp_expect.csv'),
                       shallow=False)
    assert filecmp.cmp(os.path.join(tests_path,
                                    'bm_corp0_refm_nresp_expect.csv'),
                       os.path.join(tests_path,
                                    'bm_corp0_refm_wresp_expect.csv'),
                       shallow=False)
    # specify corporate-income-tax reform dictionary with these provisions:
    # - apply a 28% corporate tax rate
    # - eliminate bonus depreciation
    # - establish 50% haircut on the deductibility of interest on new debt
    citax_refdict = {
        2018: {
            'tau_c': 0.28,
            'depr_3yr_bonus': 0.0,
            'depr_5yr_bonus': 0.0,
            'depr_7yr_bonus': 0.0,
            'depr_10yr_bonus': 0.0,
            'depr_15yr_bonus': 0.0,
            'depr_20yr_bonus': 0.0,
            'depr_25yr_bonus': 0.0,
            'depr_275yr_bonus': 0.0,
            'depr_39yr_bonus': 0.0,
            'pymtc_status': 1,
            'newIntPaid_corp_hc': 1.0,
            'newIntPaid_corp_hcyear': 2018,
            'oldIntPaid_corp_hc': 1.0,
            'oldIntPaid_corp_hcyear': 2018,
            'newIntPaid_noncorp_hc': 1.0,
            'newIntPaid_noncorp_hcyear': 2018,
            'oldIntPaid_noncorp_hc': 1.0,
            'oldIntPaid_noncorp_hcyear': 2018
        }
    }
    # specify individual-income-tax reform dictionary with no reform provisions
    iitax_refdict = {}
    bizmod = BusinessModel(citax_refdict,
                           iitax_refdict,
                           investor_data=puf_fullsample)
    # calculate results in different ways depending on value of with_response
    if with_response:
        bizmod.update_elasticities({})  # all elasticities are zero
        bizmod.calc_withresponse()
    else:
        bizmod.calc_noresponse()
    # compare actual and expected results
    resp = 'wresp' if with_response else 'nresp'
    dec = 4
    results = bizmod.corp_base.taxreturn.combined_return.round(dec)
    fname = 'bm_corp0_base_{}_expect.csv'.format(resp)
    actual_vs_expect(results, fname, precision=dec)
    results = bizmod.corp_ref.taxreturn.combined_return.round(dec)
    fname = 'bm_corp0_refm_{}_expect.csv'.format(resp)
    actual_vs_expect(results, fname, precision=dec)
def test_bm_corp0(with_response, actual_vs_expect,
                  puf_subsample, tests_path):
    """
    Test BusinessModel corporate results under a corporate-income-tax reform
    using calc_all(response=None) and calc_all(response=zero_elasticities),
    checking that the two sets of results are exactly the same, which is what
    is expected.
    """
    # ensure that expected results in the two with_response cases are the same
    assert filecmp.cmp(os.path.join(tests_path,
                                    'bm_corp0_base_nresp_expect.csv'),
                       os.path.join(tests_path,
                                    'bm_corp0_base_wresp_expect.csv'),
                       shallow=False)
    assert filecmp.cmp(os.path.join(tests_path,
                                    'bm_corp0_refm_nresp_expect.csv'),
                       os.path.join(tests_path,
                                    'bm_corp0_refm_wresp_expect.csv'),
                       shallow=False)
    # specify corporate-income-tax reform policy with these provisions:
    # - apply a 28% corporate tax rate
    # - eliminate bonus depreciation
    # - establish 50% haircut on the deductibility of interest on new debt
    btax_reform = {
        'tau_c': {2018: 0.28},
        'depr_3yr_bonus': {2018: 0.0},
        'depr_5yr_bonus': {2018: 0.0},
        'depr_7yr_bonus': {2018: 0.0},
        'depr_10yr_bonus': {2018: 0.0},
        'depr_15yr_bonus': {2018: 0.0},
        'depr_20yr_bonus': {2018: 0.0},
        'depr_25yr_bonus': {2018: 0.0},
        'depr_275yr_bonus': {2018: 0.0},
        'depr_39yr_bonus': {2018: 0.0},
        'pymtc_hc': {2018: 1.0},
        'newIntPaid_corp_hc': {2018: 1.0},
        'newIntPaid_corp_hcyear': {2018: 2018},
        'oldIntPaid_corp_hc': {2018: 1.0},
        'oldIntPaid_corp_hcyear': {2018: 2018},
        'newIntPaid_noncorp_hc': {2018: 1.0},
        'newIntPaid_noncorp_hcyear': {2018: 2018},
        'oldIntPaid_noncorp_hc': {2018: 1.0},
        'oldIntPaid_noncorp_hcyear': {2018: 2018}
    }
    btax_policy_ref = Policy()
    btax_policy_ref.implement_reform(btax_reform)
    # specify individual-tax reform dictionary with no reform provisions
    itax_reform = {}
    itax_policy_ref = itax.Policy()
    itax_policy_ref.implement_reform(itax_reform)
    # calculate results in different ways depending on value of with_response
    if with_response:
        zero_elast_response = Response()
        zero_elast_response.update_elasticities({})  # all zero elasticities
        bizmod = BusinessModel(btax_policy_ref, itax_policy_ref,
                               investor_data=puf_subsample)
        bizmod.calc_all(response=zero_elast_response)
    else:
        bizmod = BusinessModel(btax_policy_ref, itax_policy_ref,
                               investor_data=puf_subsample)
        bizmod.calc_all(response=None)
    # compare actual and expected results
    resp = 'wresp' if with_response else 'nresp'
    dec = 4
    results = bizmod.corp_base.taxreturn.combined_return.round(dec)
    fname = 'bm_corp0_base_{}_expect.csv'.format(resp)
    actual_vs_expect(results, fname, precision=dec)
    results = bizmod.corp_ref.taxreturn.combined_return.round(dec)
    fname = 'bm_corp0_refm_{}_expect.csv'.format(resp)
    actual_vs_expect(results, fname, precision=dec)
}

# Policies for business tax rules
pol_pre = Policy()
pol_pre.implement_reform(bdict1)
pol_post = Policy()
pol_post.implement_reform(bdict2)
# Policies for individual income tax rules
ipol_pre = taxcalc.Policy()
#ipol_pre.implement_reform(taxcalc.Policy.read_json_reform('2017_law.json'))
ipol_post = taxcalc.Policy()
#ipol_post.implement_reform(taxcalc.Policy.read_json_reform('TCJA.json'))

# Create and run model
bm = BusinessModel(btax_policy_ref=pol_post,
                   itax_policy_ref=ipol_post,
                   btax_policy_base=pol_pre,
                   itax_policy_base=ipol_pre)
bm.calc_all(response=None)

# Update the MTRs from taxcalc
bm.update_mtrlists()

# Create Response object
resp = Response()
resp.update_elasticities({
    'debt_taxshield_c': 0.17,
    'reprate_inc': -0.61,
    'first_year_response': 2018
})
resp.calc_all(bm.btax_params_base, bm.btax_params_ref)
Example #7
0
"""
import taxcalc as itax  # capabilities of individual Tax-Calculator
from biztax import Policy, BusinessModel, Response
import pandas as pd

btax_reform_dict0 = {'tau_c': {2020: 0.20}}

# Create business Policy object
btax_policy_reform0 = Policy()
btax_policy_reform0.implement_reform(btax_reform_dict0)

# Create an individual-tax itax.Policy object with no reform
itax_policy_noreform0 = itax.Policy()

# Execute BusinessModel calculations with no response
BM0 = BusinessModel(btax_policy_reform0, itax_policy_noreform0,
                    investor_data='rpuf.csv')
BM0.calc_all(response=None)

print(BM0.model_results)
print('Change in corporate tax revenue ($B): ' +
      str(sum(BM0.model_results['CTax_change'])))




btax_reform_dict1 = {
    'depr_3yr_method': {2020: 'Expensing'},
    'depr_5yr_method': {2020: 'Expensing'},
    'depr_7yr_method': {2020: 'Expensing'},
    'depr_10yr_method': {2020: 'Expensing'},
    'depr_15yr_method': {2020: 'Expensing'},
Example #8
0
def reforms():
    reform_dict = dict()
    # reform 0, the baseline
    reform_dict[0] = Data().btax_defaults
    # reform 1
    btax_dict1 = {
        2017: {
            'tau_c': 0.3,
            'depr_3yr_method': 'GDS',
            'depr_3yr_bonus': 0.8,
            'depr_5yr_method': 'ADS',
            'depr_5yr_bonus': 0.8,
            'depr_7yr_method': 'Economic',
            'depr_7yr_bonus': 0.8,
            'depr_10yr_method': 'GDS',
            'depr_10yr_bonus': 0.6,
            'depr_15yr_method': 'Expensing',
            'depr_15yr_bonus': 0.6,
            'depr_20yr_method': 'ADS',
            'depr_20yr_bonus': 0.4,
            'depr_25yr_method': 'EconomicDS',
            'depr_25yr_bonus': 0.2,
            'depr_275yr_method': 'GDS',
            'depr_275yr_bonus': 0.2,
            'depr_39yr_method': 'ADS',
            'depr_39yr_bonus': 0.2,
            'tau_amt': 0.0,
            'pymtc_status': 1
        },
        2018: {
            'netIntPaid_corp_hc': 0.5,
            'sec199_hc': 0.5,
            'ftc_hc': 0.5
        }
    }
    bizmod = BusinessModel(btax_dict1, {})
    reform_dict[1] = bizmod.btax_params_ref
    del btax_dict1
    del bizmod
    # reform 2
    btax_dict2 = {
        2017: {
            'oldIntPaid_corp_hcyear': 2017,
            'oldIntPaid_corp_hc': 0.5,
            'newIntPaid_corp_hcyear': 2017,
            'newIntPaid_corp_hc': 1.0,
            'oldIntPaid_noncorp_hcyear': 2017,
            'oldIntPaid_noncorp_hc': 0.5,
            'newIntPaid_noncorp_hcyear': 2017,
            'newIntPaid_noncorp_hc': 1.0
        },
        2018: {
            'undepBasis_corp_hcyear': 2018,
            'undepBasis_corp_hc': 0.5,
            'undepBasis_noncorp_hcyear': 2018,
            'undepBasis_noncorp_hc': 0.5
        }
    }
    bizmod = BusinessModel(btax_dict2, {})
    reform_dict[2] = bizmod.btax_params_ref
    del btax_dict2
    del bizmod
    return reform_dict
Example #9
0
    'oldIntPaid_noncorp_hc': {
        2018: 1.0
    },
    'oldIntPaid_noncorp_hcyear': {
        2018: 2018
    }
}
btax_policy_reform = Policy()
btax_policy_reform.implement_reform(btax_reform_dict)

# Create an individual-tax itax.Policy object with no reform
itax_policy_noreform = itax.Policy()

# Execute BusinessModel calculations with no response
BM = BusinessModel(btax_policy_reform,
                   itax_policy_noreform,
                   investor_data='puf.csv')
BM.calc_all(response=None)

# Look at the changes in total corporate and individual income tax liability
output_df = BM.model_results.round(3)
output_df.to_csv('example_results/nresp_model_results.csv', index=False)

# Take a closer look at corporate tax items under baseline and reform policy
output_df = BM.corp_base.taxreturn.combined_return.round(3)
output_df.to_csv('example_results/nresp_base.csv', index=False)
output_df = BM.corp_ref.taxreturn.combined_return.round(3)
output_df.to_csv('example_results/nresp_refm.csv', index=False)

# Look at differences in real effects on corporations without any responses
corp_diff = (BM.corp_ref.real_results - BM.corp_base.real_results).round(3)