def __init__(self, **kwds):
'''
Instantiate a new FashionVictim with given data.
Parameters
----------
**kwds : keyword arguments
Any number of keyword arguments key=value; each value will be assigned
to the attribute key in the new instance.
Returns
-------
new instance of FashionVictimType
'''
# Initialize a basic AgentType
AgentType.__init__(
self,
solution_terminal=FashionVictimType._solution_terminal,
cycles=0,
time_flow=True,
pseudo_terminal=True,
**kwds)
# Add class-specific features
self.time_inv = [
'DiscFac', 'conformUtilityFunc', 'punk_utility', 'jock_utility',
'switchcost_J2P', 'switchcost_P2J', 'pGrid', 'pEvolution',
'pref_shock_mag'
]
self.time_vary = []
self.solveOnePeriod = solveFashion
self.update()
def __init__(self,time_flow=True,**kwds):
'''
Make a new consumer type for the cstwMPC model.
Parameters
----------
time_flow : boolean
Indictator for whether time is "flowing" forward for this agent.
**kwds : keyword arguments
Any number of keyword arguments of the form key=value. Each value
will be assigned to the attribute named in self.
Returns
-------
new instance of cstwMPCagent
'''
# Initialize a basic AgentType
AgentType.__init__(self,solution_terminal=deepcopy(Model.IndShockConsumerType.solution_terminal_),
time_flow=time_flow,pseudo_terminal=False,**kwds)
# Add consumer-type specific objects, copying to create independent versions
self.time_vary = deepcopy(Model.IndShockConsumerType.time_vary_)
self.time_inv = deepcopy(Model.IndShockConsumerType.time_inv_)
self.solveOnePeriod = Model.solveConsIndShock
self.update()
def __init__(self, cycles=0, time_flow=False, **kwds):
'''
Instantiate a new TractableConsumerType with given data.
Parameters
----------
cycles : int
Number of times the sequence of periods should be solved.
time_flow : boolean
Whether time is currently "flowing" forward for this instance.
Returns:
-----------
New instance of TractableConsumerType.
'''
# Initialize a basic AgentType
AgentType.__init__(self,
cycles=cycles,
time_flow=time_flow,
pseudo_terminal=True,
**kwds)
# Add consumer-type specific objects, copying to create independent versions
self.time_vary = []
self.time_inv = [
'DiscFac', 'Rfree', 'CRRA', 'PermGroFacCmp', 'UnempPrb', 'PFMPC',
'Rnrm', 'Beth', 'mLowerBnd', 'mUpperBnd'
]
self.shock_vars = ['eStateNow']
self.poststate_vars = ['aLvlNow', 'eStateNow'] # For simulation
self.solveOnePeriod = addToStableArmPoints # set correct solver
def __init__(self, time_flow=True, **kwds):
'''
Make a new consumer type for the cstwMPC model.
Parameters
----------
time_flow : boolean
Indictator for whether time is "flowing" forward for this agent.
**kwds : keyword arguments
Any number of keyword arguments of the form key=value. Each value
will be assigned to the attribute named in self.
Returns
-------
new instance of cstwMPCagent
'''
# Initialize a basic AgentType
AgentType.__init__(self,
solution_terminal=deepcopy(
Model.IndShockConsumerType.solution_terminal_),
time_flow=time_flow,
pseudo_terminal=False,
**kwds)
# Add consumer-type specific objects, copying to create independent versions
self.time_vary = deepcopy(Model.IndShockConsumerType.time_vary_)
self.time_inv = deepcopy(Model.IndShockConsumerType.time_inv_)
self.solveOnePeriod = Model.solveConsIndShock
self.update()
def __init__(self,cycles=0,time_flow=False,**kwds):
'''
Instantiate a new TractableConsumerType with given data.
'''
# Initialize a basic AgentType
AgentType.__init__(self,cycles=cycles,time_flow=time_flow,pseudo_terminal=True,**kwds)
# Add consumer-type specific objects, copying to create independent versions
self.time_vary = []
self.time_inv = ['beta','R','rho','Gamma','mho','kappa_PF','scriptR','Beth','m_min','m_max']
self.solveAPeriod = addToStableArmPoints
def __init__(self,time_flow=True,**kwds):
# Initialize a basic AgentType
AgentType.__init__(self,solution_terminal=deepcopy(Model.ConsumerType.solution_terminal_),time_flow=time_flow,pseudo_terminal=False,**kwds)
# Add consumer-type specific objects, copying to create independent versions
self.time_vary = deepcopy(Model.ConsumerType.time_vary_)
self.time_inv = deepcopy(Model.ConsumerType.time_inv_)
self.time_vary.remove('beta')
self.time_inv.append('beta')
self.solveAPeriod = Model.consumptionSavingSolverENDG # this can be swapped for consumptionSavingSolverEXOG or another solver
self.update()
def __init__(self,time_flow=True,**kwds):
'''
Make a new instance of AggShockConsumerType, an extension of
IndShockConsumerType. Sets appropriate solver and input lists.
'''
AgentType.__init__(self,solution_terminal=deepcopy(IndShockConsumerType.solution_terminal_),
time_flow=time_flow,pseudo_terminal=False,**kwds)
# Add consumer-type specific objects, copying to create independent versions
self.time_vary = deepcopy(IndShockConsumerType.time_vary_)
self.time_inv = deepcopy(IndShockConsumerType.time_inv_)
self.delFromTimeInv('Rfree','BoroCnstArt','vFuncBool','CubicBool')
self.solveOnePeriod = solveConsAggShock
self.p_init = np.ones(self.Nagents)
self.update()
def __init__(self,time_flow=True,**kwds):
'''
Make a new instance of AggShockConsumerType, an extension of the basic
ConsumerType. Sets appropriate solver and input lists.
'''
AgentType.__init__(self,solution_terminal=deepcopy(IndShockConsumerType.solution_terminal_),
time_flow=time_flow,pseudo_terminal=False,**kwds)
# Add consumer-type specific objects, copying to create independent versions
self.time_vary = deepcopy(IndShockConsumerType.time_vary_)
self.time_inv = deepcopy(IndShockConsumerType.time_inv_)
self.time_vary.remove('DiscFac')
self.time_inv += ['DiscFac','kGrid','kNextFunc','Rfunc','wFunc']
self.solveOnePeriod = solveConsumptionSavingAggShocks
self.update()
def __init__(self,time_flow=True,**kwds):
'''
Make a new instance of AggShockConsumerType, an extension of
IndShockConsumerType. Sets appropriate solver and input lists.
'''
AgentType.__init__(self,solution_terminal=deepcopy(IndShockConsumerType.solution_terminal_),
time_flow=time_flow,pseudo_terminal=False,**kwds)
# Add consumer-type specific objects, copying to create independent versions
self.time_vary = deepcopy(IndShockConsumerType.time_vary_)
self.time_inv = deepcopy(IndShockConsumerType.time_inv_)
self.delFromTimeInv('Rfree','BoroCnstArt','vFuncBool','CubicBool')
self.solveOnePeriod = solveConsAggShock
self.p_init = np.ones(self.Nagents)
self.update()
def __init__(self, cycles=1, time_flow=False, **kwds):
'''
Instantiate a new ConsumerType with given data.
'''
# Initialize a basic AgentType
AgentType.__init__(self,
solution_terminal=deepcopy(
ConsumerType.solution_terminal_),
cycles=cycles,
time_flow=time_flow,
pseudo_terminal=False,
**kwds)
# Add consumer-type specific objects, copying to create independent versions
self.time_vary = deepcopy(ConsumerType.time_vary_)
self.time_inv = deepcopy(ConsumerType.time_inv_)
self.solveAPeriod = consumptionSavingSolverCubic # this can be swapped for consumptionSavingSolverLinear or another solver
def __init__(self,cycles=0,time_flow=True,**kwds):
'''
Instantiate a new RetiringConsumerType with given data.
'''
# Initialize a basic AgentType
AgentType.__init__(self,solution_terminal=deepcopy(ConsumerType.solution_terminal_),cycles=cycles,time_flow=time_flow,pseudo_terminal=True,**kwds)
# Add consumer-type specific objects, copying to create independent versions
self.time_vary = deepcopy(ConsumerType.time_vary_)
self.time_inv = deepcopy(ConsumerType.time_inv_)
self.time_vary.remove('beta')
self.time_vary.remove('survival_prob')
self.time_vary.remove('Gamma')
self.time_vary += ['sigma_epsilon','solveAPeriod']
self.time_inv += ['solution_retired','transformations','state_grid','beta','survival_prob','Gamma']
self.solveAPeriod = [discreteChoiceContinuousStateSolver, retirementChoiceSolver]
self.update()
def __init__(self,**kwds):
'''
Instantiate a new FashionVictim with given data.
Parameters
----------
**kwds : keyword arguments
Any number of keyword arguments key=value; each value will be assigned
to the attribute key in the new instance.
Returns
-------
new instance of FashionVictimType
'''
# Initialize a basic AgentType
AgentType.__init__(self,solution_terminal=FashionVictimType._solution_terminal,cycles=0,time_flow=True,pseudo_terminal=True,**kwds)
# Add class-specific features
self.time_inv = ['DiscFac','conformUtilityFunc','punk_utility','jock_utility','switchcost_J2P','switchcost_P2J','pGrid','pEvolution','pref_shock_mag']
self.time_vary = []
self.solveOnePeriod = solveFashion
self.update()
def __init__(self,cycles=0,time_flow=False,**kwds):
'''
Instantiate a new TractableConsumerType with given data.
Parameters
----------
cycles : int
Number of times the sequence of periods should be solved.
time_flow : boolean
Whether time is currently "flowing" forward for this instance.
Returns:
-----------
New instance of TractableConsumerType.
'''
# Initialize a basic AgentType
AgentType.__init__(self,cycles=cycles,time_flow=time_flow,pseudo_terminal=True,**kwds)
# Add consumer-type specific objects, copying to create independent versions
self.time_vary = []
self.time_inv = ['DiscFac','Rfree','CRRA','PermGroFacCmp','UnempPrb','PFMPC','Rnrm','Beth','mLowerBnd','mUpperBnd']
self.solveOnePeriod = addToStableArmPoints # set correct solver
