ConsRepAgentModel

This module contains models for solving representative agent macroeconomic models. This stands in contrast to all other model modules in HARK, which (unsurprisingly) take a heterogeneous agents approach. In RA models, all attributes are either time invariant or exist on a short cycle; models must be infinite horizon.

class HARK.ConsumptionSaving.ConsRepAgentModel.RepAgentConsumerType(**kwds)

Bases: HARK.ConsumptionSaving.ConsIndShockModel.IndShockConsumerType

A class for representing representative agents with inelastic labor supply.

Parameters:cycles (int) – Number of times the sequence of periods should be solved.
get_states()

TODO: replace with call to transition

Calculates updated values of normalized market resources and permanent income level. Uses pLvlNow, aNrmNow, PermShkNow, TranShkNow.

Parameters:None
Returns:
Return type:None
pre_solve()

A method that is run immediately before the model is solved, to check inputs or to prepare the terminal solution, perhaps.

Parameters:none
Returns:
Return type:none
time_inv_ = ['CRRA', 'Rfree', 'DiscFac', 'BoroCnstArt', 'BoroCnstArt', 'vFuncBool', 'CubicBool', 'CapShare', 'DeprFac']
class HARK.ConsumptionSaving.ConsRepAgentModel.RepAgentMarkovConsumerType(**kwds)

Bases: HARK.ConsumptionSaving.ConsRepAgentModel.RepAgentConsumerType

A class for representing representative agents with inelastic labor supply and a discrete MarkovState

get_controls()

Calculates consumption for the representative agent using the consumption functions.

Parameters:None
Returns:
Return type:None
get_shocks()

Draws a new Markov state and income shocks for the representative agent.

Parameters:None
Returns:
Return type:None
initialize_sim()

Prepares this AgentType for a new simulation. Resets the internal random number generator, makes initial states for all agents (using sim_birth), clears histories of tracked variables.

Parameters:None
Returns:
Return type:None
pre_solve()

A method that is run immediately before the model is solved, to check inputs or to prepare the terminal solution, perhaps.

Parameters:none
Returns:
Return type:none
reset_rng()

Reset the RNG behavior of this type. This method is called automatically by initialize_sim(), ensuring that each simulation run uses the same sequence of random shocks; this is necessary for structural estimation to work. This method extends AgentType.reset_rng() to also reset elements of IncShkDstn.

Parameters:None
Returns:
Return type:None
time_inv_ = ['CRRA', 'Rfree', 'DiscFac', 'BoroCnstArt', 'BoroCnstArt', 'vFuncBool', 'CubicBool', 'CapShare', 'DeprFac', 'MrkvArray']
update_solution_terminal()

Update the terminal period solution. This method should be run when a new AgentType is created or when CRRA changes.

Parameters:None
Returns:
Return type:None