def test_small_open(self):
agent = AggShockConsumerType()
agent.AgentCount = 100 # Very low number of agents for the sake of speed
agent.cycles = 0
# Make agents heterogeneous in their discount factor
agents = distributeParams(agent,
'DiscFac',
3,
Uniform(bot=.90, top=.94) # Impatient agents
)
# Make an economy with those agents living in it
small_economy = SmallOpenEconomy(
agents=agents,
Rfree = 1.03,
wRte = 1.0,
KtoLnow = 1.0,
**copy.copy(init_cobb_douglas)
)
small_economy.act_T = 400 # Short simulation history
small_economy.max_loops = 3 # Give up quickly for the sake of time
small_economy.makeAggShkHist() # Simulate a history of aggregate shocks
small_economy.verbose = False # Turn off printed messages
# Give data about the economy to all the agents in it
for this_type in small_economy.agents:
this_type.getEconomyData(small_economy)
small_economy.solve()
def setUp(self):
agent = AggShockConsumerType()
agent.AgentCount = 900 # Very low number of agents for the sake of speed
agent.cycles = 0
# Make agents heterogeneous in their discount factor
self.agents = distributeParams(
agent, "DiscFac", 3, Uniform(bot=0.90, top=0.94) # Impatient agents
)
# Make an economy with those agents living in it
self.economy = CobbDouglasEconomy(agents=self.agents)