"""
Parameters class for Marco Veronese Passarella's 3IO-PC model
"""
__author__ = ["Karl Naumann-Woleske"]
__credits__ = ["Karl Naumann-Woleske"]
__license__ = "MIT"
__maintainer__ = ["Karl Naumann-Woleske"]
import logging
from macrostat.core.parameters import Parameters
logger = logging.getLogger(__name__)
[docs]
class ParametersIOPC(Parameters):
"""Parameters class for the Godley-Lavoie 2006 PC model."""
version = "IOPC"
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def __init__(
self,
parameters: dict | None = None,
hyperparameters: dict | None = None,
bounds: dict | None = None,
*args,
**kwargs,
):
"""Initialize the parameters of Marco Veronese Passarella's 3IO-PC model
Parameters
----------
parameters: dict | None
The parameters of the model.
hyperparameters: dict | None
The hyperparameters of the model.
bounds: dict | None
The bounds of the parameters.
"""
super().__init__(
parameters=parameters,
hyperparameters=hyperparameters,
bounds=bounds,
*args,
**kwargs,
)
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def get_default_parameters(self):
"""Return the default parameter values."""
return {
"TaxRate": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\theta",
"unit": "% per period",
"value": 0.2,
},
"PropensityToConsumeIncomeBase": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\alpha_{10}",
"unit": ".",
"value": 0.8,
},
"PropensityToConsumeIncomeInterest": {
"lower bound": 0.0,
"upper bound": 10.0,
"notation": r"\alpha_{11}",
"unit": ".",
"value": 8.0,
},
"PropensityToConsumeSavings": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\alpha_2",
"unit": ".",
"value": 0.4,
},
"WealthShareBills_Constant": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\lambda_0",
"unit": ".",
"value": 0.635,
},
"WealthShareBills_InterestRate": {
"lower bound": 0.0,
"upper bound": 10.0,
"notation": r"\lambda_1",
"unit": ".",
"value": 5.0,
},
"WealthShareBills_Income": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\lambda_2",
"unit": ".",
"value": 0.01,
},
"Markup": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\mu",
"unit": ".",
"value": 0.875,
},
"S1.LabourProductivity": {
"lower bound": 0.0,
"upper bound": 10.0,
"notation": r"pr_1",
"unit": ".",
"value": 3.5,
},
"S2.LabourProductivity": {
"lower bound": 0.0,
"upper bound": 10.0,
"notation": r"pr_2",
"unit": ".",
"value": 5,
},
"S3.LabourProductivity": {
"lower bound": 0.0,
"upper bound": 10.0,
"notation": r"pr_3",
"unit": ".",
"value": 2.2,
},
"S1.HouseholdBudgetShare": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\bar{\beta}_{C,1}",
"unit": ".",
"value": 0.15,
},
"S2.HouseholdBudgetShare": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\bar{\beta}_{C,2}",
"unit": ".",
"value": 0.35,
},
"S3.HouseholdBudgetShare": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\bar{\beta}_{C,3}",
"unit": ".",
"value": 0.5,
},
"S1.GovernmentBudgetShare": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\bar{\beta}_{G,1}",
"unit": ".",
"value": 0.10,
},
"S2.GovernmentBudgetShare": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\bar{\beta}_{G,2}",
"unit": ".",
"value": 0.30,
},
"S3.GovernmentBudgetShare": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"\bar{\beta}_{G,3}",
"unit": ".",
"value": 0.6,
},
"S1.S1.Requirement": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"a_{1,1}",
"unit": ".",
"value": 0.11,
},
"S1.S2.Requirement": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"a_{1,2}",
"unit": ".",
"value": 0.12,
},
"S1.S3.Requirement": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"a_{1,3}",
"unit": ".",
"value": 0.10,
},
"S2.S1.Requirement": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"a_{2,1}",
"unit": ".",
"value": 0.21,
},
"S2.S2.Requirement": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"a_{2,2}",
"unit": ".",
"value": 0.22,
},
"S2.S3.Requirement": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"a_{2,3}",
"unit": ".",
"value": 0.20,
},
"S3.S1.Requirement": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"a_{3,1}",
"unit": ".",
"value": 0.15,
},
"S3.S2.Requirement": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"a_{3,2}",
"unit": ".",
"value": 0.18,
},
"S3.S3.Requirement": {
"lower bound": 0.0,
"upper bound": 1.0,
"notation": r"a_{3,3}",
"unit": ".",
"value": 0.10,
},
}
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def get_default_hyperparameters(self):
"""Return the default hyperparameter values."""
hyperparameters = super().get_default_hyperparameters()
hyperparameters["timesteps"] = 100
hyperparameters["timesteps_initialization"] = 1
hyperparameters["sectors"] = [
"Household",
"S1",
"S2",
"S3",
"Government",
"CentralBank",
]
hyperparameters["iosectors"] = ["S1", "S2", "S3"]
hyperparameters["vector_sectors"] = ["S1", "S2", "S3"]
return hyperparameters
