def getEconomyData(self, Economy):
'''
Imports economy-determined objects into self from a Market.
Instances of AggShockConsumerType "live" in some macroeconomy that has
attributes relevant to their microeconomic model, like the relationship
between the capital-to-labor ratio and the interest and wage rates; this
method imports those attributes from an "economy" object and makes them
attributes of the ConsumerType.
Parameters
----------
Economy : Market
The "macroeconomy" in which this instance "lives". Might be of the
subclass CobbDouglasEconomy, which has methods to generate the
relevant attributes.
Returns
-------
None
'''
AggShockConsumerType.getEconomyData(self, Economy)
self.KtoLBeliefNow_init = Economy.KtoLnow_init * np.ones(self.Nagents)
# Now do aggregate shocks of a market
# Make an aggregate shocks consumer
AggShockExample = AggShockConsumerType(**Params.init_agg_shocks)
AggShockExample.cycles = 0
AggShockExample.sim_periods = 3000
AggShockExample.makeIncShkHist(
) # Simulate a history of idiosyncratic shocks
# Make a Cobb-Douglas economy for the agents
EconomyExample = CobbDouglasEconomy(agents=[AggShockExample],
act_T=AggShockExample.sim_periods,
**Params.init_cobb_douglas)
EconomyExample.makeAggShkHist() # Simulate a history of aggregate shocks
# Have the consumers inherit relevant objects from the economy
AggShockExample.getEconomyData(EconomyExample)
# Solve the microeconomic model for the aggregate shocks example type (and display results)
t_start = clock()
AggShockExample.solve()
t_end = clock()
print('Solving an aggregate shocks consumer took ' +
mystr(t_end - t_start) + ' seconds.')
# # Solve the "macroeconomic" model by searching for a "fixed point dynamic rule"
# t_start = clock()
# EconomyExample.solve()
# t_end = clock()
# print('Solving the "macroeconomic" aggregate shocks model took ' + str(t_end - t_start) + ' seconds.')
PermShk = 1.1
# Make a Cobb-Douglas economy for the agents
StickyEconomyExample = CobbDouglasEconomy(agents=[StickyExample],
act_T=StickyExample.sim_periods,
**Params.init_cobb_douglas)
NotStickyEconomyExample = CobbDouglasEconomy(
agents=[NotStickyExample],
act_T=NotStickyExample.sim_periods,
**Params.init_cobb_douglas)
StickyEconomyExample.makeAggShkHist(
) # Simulate a history of aggregate shocks
NotStickyEconomyExample.makeAggShkHist(
) # Simulate a history of aggregate shocks
# Have the consumers inherit relevant objects from the economy
StickyExample.getEconomyData(StickyEconomyExample)
NotStickyExample.getEconomyData(NotStickyEconomyExample)
# Solve the microeconomic model for the aggregate shocks example type (and display results)
t_start = clock()
StickyExample.solve()
NotStickyExample.solve()
t_end = clock()
print('Solving an aggregate shocks consumer took ' +
mystr(t_end - t_start) + ' seconds.')
# # Solve the "macroeconomic" model by searching for a "fixed point dynamic rule"
# t_start = clock()
# StickyEconomyExample.solve()
# NotStickyEconomyExample.solve()
# t_end = clock()
# print('Solving the "macroeconomic" aggregate shocks model took ' + str(t_end - t_start) + ' seconds.')
