def test_Market_handling(self):
mod = Model()
ext = ExternalSector(mod)
ca = Country(mod, 'CA', 'Canada', currency='CAD')
us = Country(mod, 'US', 'United States', currency='USD')
# gov_us.AddVariable('T', 'Government Taxes', '0.')
gov_ca = Sector(ca, 'GOV', 'Gummint')
gov_ca.AddVariable('DEM_GOOD', 'desc', '20.')
market = Market(ca, 'GOOD', 'Market')
supplier_ca = Sector(ca, 'BUS', 'Canada supplier')
supplier_us = Sector(us, 'BUS', 'US Supplier')
# Set supply so that CAD$10 is paid to each supplier.
market.AddSupplier(supplier_ca)
market.AddSupplier(supplier_us, '10.')
# Set CAD = 2, so 2 USD = 1 CAD (USD is weaker.)
mod.AddExogenous('EXT_XR', 'CAD', '[2.0,]*3')
mod.EquationSolver.MaxTime = 1
mod.main()
mod.TimeSeriesSupressTimeZero = True
# The business sector nets USD$20
self.assertEqual([20.], mod.GetTimeSeries('US_BUS__F'))
# The USD market is unbalanced; shortage of 20 USD
self.assertEqual([-20.], mod.GetTimeSeries('EXT_FX__NET_USD'))
# The CAD market is unbalanced; excess of 10 CAD
self.assertEqual([10.], mod.GetTimeSeries('EXT_FX__NET_CAD'))
# The supply in the US sector is USD $20
self.assertEqual([20.], mod.GetTimeSeries('US_BUS__SUP_CA_GOOD'))
# THe supply on the Canadian side is CAD $10
self.assertEqual([10.], mod.GetTimeSeries('CA_GOOD__SUP_US_BUS'))
def test_GoldSectors(self):
# Relatively big test, but it takes a lot of work to get a model
# where we can create a GoldStandardCentralBank, and to set up the
# equations so that they need to intervene.
# Consider this an end-to-end test.
mod = Model()
ext = ExternalSector(mod)
ca = Country(mod, 'CA', 'Canada', currency='CAD')
us = Country(mod, 'US', 'United States', currency='USD')
gov_us = GoldStandardGovernment(us, 'GOV')
# gov_ca = GoldStandardGovernment(ca, 'CA Gov', 'GOV', 200.)
tre_ca = Treasury(ca, 'TRE', 'Ministry of Finance')
cb_ca = GoldStandardCentralBank(ca, 'CB', treasury=tre_ca)
mon = MoneyMarket(ca, issuer_short_code='CB')
dep = DepositMarket(ca, issuer_short_code='TRE')
gov_us.AddVariable('T', 'Government Taxes', '0.')
tre_ca.AddVariable('T', 'Government Taxes', '0.')
tre_ca.SetEquationRightHandSide('DEM_GOOD', '20.')
market = Market(ca, 'GOOD', 'Market')
supplier_ca = Sector(ca, 'BUS', 'Canada supplier')
supplier_us = Sector(us, 'BUS', 'US Supplier')
market.AddSupplier(supplier_ca)
market.AddSupplier(supplier_us, '10.')
mod.EquationSolver.MaxTime = 1
mod.EquationSolver.MaxIterations = 90
mod.EquationSolver.ParameterErrorTolerance = 1e-1
mod.main()
mod.TimeSeriesSupressTimeZero = True
# markets should be balanced
self.assertAlmostEqual(0.,
mod.GetTimeSeries('EXT_FX__NET_CAD')[0],
places=2)
self.assertAlmostEqual(0.,
mod.GetTimeSeries('EXT_FX__NET_USD')[0],
places=2)
# U.S. buys 10 units of GOLD
self.assertAlmostEqual(10.,
mod.GetTimeSeries('US_GOV__GOLDPURCHASES')[0],
places=2)
# Canada sells 10 units
self.assertAlmostEqual(-10.,
mod.GetTimeSeries('CA_CB__GOLDPURCHASES')[0],
places=2)
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 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()