def build_model(self):
country = self.Country
gov = ConsolidatedGovernment(country, 'GOV', 'Government')
hh = Household(country, 'HH', 'Household', alpha_income=.6, alpha_fin=.4)
# A literally non-profit business sector
bus = FixedMarginBusiness(country, 'BUS', 'Business Sector')
# Create the linkages between sectors - tax flow, markets - labour ('LAB'), goods ('GOOD')
tax = TaxFlow(country, 'TF', 'TaxFlow', taxrate=.2)
labour = Market(country, 'LAB', 'Labour market')
goods = Market(country, 'GOOD', 'Goods market')
if self.UseBookExogenous:
# Need to set the exogenous variable - Government demand for Goods ("G" in economist symbology)
gov.SetExogenous('DEM_GOOD', '[0.,] + [20.,] * 105')
return self.Model
def build_model(self):
country = self.Country
gov = ConsolidatedGovernment(country, 'GOV', 'Government')
hh = HouseholdWithExpectations(country, 'HH', 'Household', alpha_income=.6, alpha_fin=.4)
# A literally non-profit business sector
bus = FixedMarginBusiness(country, 'BUS', 'Business Sector')
# Create the linkages between sectors - tax flow, markets - labour ('LAB'), goods ('GOOD')
tax = TaxFlow(country, 'TF', 'TaxFlow', .2)
labour = Market(country, 'LAB', 'Labour market')
goods = Market(country, 'GOOD', 'Goods market')
if self.UseBookExogenous:
# Need to set the exogenous variable - Government demand for Goods ("G" in economist symbology)
gov.SetExogenous('DEM_GOOD', '[0.,] + [20.,] * 105')
# In order to replicate the book results, we need to patch in this initial condition so that the
# expected income in period 1 is 16.
self.Model.AddInitialCondition('HH', 'AfterTax', 16.)
return self.Model
def test_LookupSector(self):
mod = Model()
can = Country(mod, 'Eh', 'Canada')
gov = ConsolidatedGovernment(can, 'GOV', 'Government')
hh = Household(can, 'HH', 'Household', .9)
self.assertEqual(can.LookupSector('HH').ID, hh.ID)
self.assertEqual(can.LookupSector('GOV').ID, gov.ID)
with self.assertRaises(KeyError):
can.LookupSector('Smurf')
def test_getitem(self):
# Hits both Model and Country GetItem
mod = Model()
can = Country(mod, 'CA', 'Can')
gov = ConsolidatedGovernment(can, 'GOV', 'Gov')
us = Country(mod, 'US', 'US')
with self.assertRaises(KeyError):
mod['x']
with self.assertRaises(KeyError):
can['x']
self.assertEqual(gov, mod['CA']['GOV'])
def CreateCountry(mod, name, code):
# Create the country.
cntry = Country(mod, code, name)
# Create sectors
ConsolidatedGovernment(cntry, 'GOV', 'Government')
hou = Household(cntry, 'HH', 'Household')
hou.AddVariable('TaxRate', 'Tax rate for workers', '.2')
cap = Capitalists(cntry, 'CAP', 'Capitalists')
cap.AddVariable('TaxRate', 'Tax rate for capitalists', '0.3')
FixedMarginBusiness(cntry, 'BUS', 'Business Sector')
# Create the linkages between sectors - tax flow, markets - labour ('LAB'), goods ('GOOD')
TaxFlow(cntry, 'TF', 'TaxFlow', .2)
Market(cntry, 'LAB', 'Labour market')
Market(cntry, 'GOOD', 'Goods market')
return cntry
def main():
# The next line of code sets the name of the output files based on the code file's name.
# This means that if you paste this code into a new file, get a new log name.
sfc_models.register_standard_logs('output', __file__)
# Create model, which holds all entities
mod = Model()
# Create first country - Canada. (This model only has one country.)
can = Country(mod, 'CA', 'Canada')
# Create sectors
gov = ConsolidatedGovernment(can, 'GOV', 'Government')
hh = Household(can, 'HH', 'Household')
# A literally non-profit business sector
bus = FixedMarginBusiness(can, 'BUS', 'Business Sector')
# Create the linkages between sectors - tax flow, markets - labour ('LAB'), goods ('GOOD')
tax = TaxFlow(can, 'TF', 'TaxFlow', .2)
labour = Market(can, 'LAB', 'Labour market')
goods = Market(can, 'GOOD', 'Goods market')
# Add the financial markets
# GOV -> issuing sector
mm = MoneyMarket(can, issuer_short_code='GOV')
dep = DepositMarket(can, issuer_short_code='GOV')
# --------------------------------------------
# Financial asset demand equations
# Need the full variable name for 'F' in household
hh_F = hh.GetVariableName('F')
hh.AddVariable('DEM_MON', 'Demand for Money', '0.5 * ' + hh_F)
hh.AddVariable('DEM_DEP', 'Demand for deposits', '0.5 * ' + hh_F)
# -----------------------------------------------------------------
# Need to set the exogenous variables
# Government demand for Goods ("G" in economist symbology)
mod.AddExogenous('GOV', 'DEM_GOOD', '[20.,] * 105')
mod.AddExogenous('DEP', 'r', '[0.0,] * 5 + [0.04]*100')
mod.AddInitialCondition('HH', 'F', 80.)
mod.main()
mod.TimeSeriesSupressTimeZero = True
mod.TimeSeriesCutoff = 20
Quick2DPlot(mod.GetTimeSeries('t'), mod.GetTimeSeries('GOOD__SUP_GOOD'),
'Goods supplied (national production Y)')
Quick2DPlot(mod.GetTimeSeries('t'), mod.GetTimeSeries('HH__F'),
'Household Financial Assets (F)')
def test_contains(self):
mod = Model()
can = Country(mod, 'CA', 'Can')
gov = ConsolidatedGovernment(can, 'GOV', 'Gov')
self.assertIn(gov, can)
def test_AddSector(self):
mod = Model()
can = Country(mod, 'Eh', 'Canada')
gov = ConsolidatedGovernment(can, 'GOV', 'Government')
self.assertEqual(can.SectorList[0].ID, gov.ID)
def main():
# The next line of code sets the name of the output files based on the code file's name.
# This means that if you paste this code into a new file, get a new log name.
sfc_models.register_standard_logs('output', __file__)
# Create model, which holds all entities
mod = Model()
# Create first country - Canada.
can = Country(mod, 'CA', 'Canada')
# Create sectors
gov = ConsolidatedGovernment(can, 'GOV', 'Government')
hh = Household(can, 'HH', 'Household')
# A literally non-profit business sector
bus = FixedMarginBusiness(can, 'BUS', 'Business Sector')
# Create the linkages between sectors - tax flow, markets - labour ('LAB'), goods ('GOOD')
tax = TaxFlow(can, 'TF', 'TaxFlow', .2)
labour = Market(can, 'LAB', 'Labour market')
goods = Market(can, 'GOOD', 'Goods market')
# Create a second country, with non-zero profits
# This is a very error-prone way of building the model; if we repeat code blocks, they should be in
# a function.
# Create United States - Almost identical to Canada.
us = Country(mod, 'US', 'United States')
# Create sectors
gov2 = ConsolidatedGovernment(us, 'GOV', 'Government')
hh2 = Household(us, 'HH', 'Household')
# ********** Profit margin of 10% *****************
bus2 = FixedMarginBusiness(us, 'BUS', 'Business Sector', profit_margin=.1)
# Create the linkages between sectors - tax flow, markets - labour ('LAB'), goods ('GOOD')
tax2 = TaxFlow(us, 'TF', 'TaxFlow', .2)
labor2 = Market(us, 'LAB', 'Labor market')
goods2 = Market(us, 'GOOD', 'Goods market')
# *****************************************************************
# Need to set the exogenous variable - Government demand for Goods ("G" in economist symbology)
# Since we have a two country model, we need to specify the full sector code, which includes the country code.
mod.AddExogenous('CA_GOV', 'DEM_GOOD', '[20.,] * 105')
mod.AddExogenous('US_GOV', 'DEM_GOOD', '[20.,] * 105')
# Do the main work of building and solving the model
mod.main()
CUT = 25
t = mod.GetTimeSeries('t', cutoff=CUT)
Y_CA = mod.GetTimeSeries('CA_GOOD__SUP_GOOD', cutoff=CUT)
Y_US = mod.GetTimeSeries('US_GOOD__SUP_GOOD', cutoff=CUT)
p = Quick2DPlot([t, t], [Y_CA, Y_US], 'Output - Y', run_now=False)
p.Legend = ['Canada (0% profit)', 'U.S. (10% Profit)']
p.DoPlot()
F_CA = mod.GetTimeSeries('CA_BUS__F', cutoff=CUT)
F_US = mod.GetTimeSeries('US_BUS__F', cutoff=CUT)
p = Quick2DPlot([t, t], [F_CA, F_US],
'Business Sector Financial Assets (F)',
run_now=False)
p.Legend = ['Canada (0% profit)', 'U.S. (10% Profit)']
p.DoPlot()
BAL_CA = mod.GetTimeSeries('CA_GOV__FISC_BAL', cutoff=CUT)
BAL_US = mod.GetTimeSeries('US_GOV__FISC_BAL', cutoff=CUT)
p = Quick2DPlot([t, t], [BAL_CA, BAL_US],
'Government Financial Balance',
run_now=False)
p.Legend = ['Canada (0% profit)', 'U.S. (10% Profit)']
p.DoPlot()