Updated ConsumerParameters to meaningful values
@@ -308,7 +308,7 @@ init_baby_labor['aXtraCount'] = 200 # Might be important to have many gridpoints
LivPrb = [0.99] # Survival probability
PermGroFac = [1.02] # Permanent income growth factor
-LbrCostCoeffs = [0.36] # Labor cost coefficents list of one element
+LbrCostCoeffs = [-1.0] # Labor cost coefficents list of one element
WageRte = [1.0] # Wage Rate
BoroCnstArt = None
@@ -352,7 +352,7 @@ init_labor_lifecycle['PermShkStd'] = [0.1,0.2,0.1,0.2,0.1,0.2,0.1,0.2,0.1,0.2]
init_labor_lifecycle['TranShkStd'] = [0.3,0.2,0.1,0.3,0.2,0.1,0.3,0.1,0.2,0.3]
init_labor_lifecycle['LivPrb'] = [0.99,0.9,0.8,0.7,0.6,0.5,0.4,0.3,0.2,0.1] # Living probability decreases as time moves forward.
init_labor_lifecycle['WageRte'] = [1.0,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9] # Wage rate in a lifecycle
-init_labor_lifecycle['LbrCostCoeffs'] = LbrCostCoeffs * 2 # Assume labor cost coeffs is a polynomial of degree 1
+init_labor_lifecycle['LbrCostCoeffs'] = [-2.0, 0.4] # Assume labor cost coeffs is a polynomial of degree 1
init_labor_lifecycle['T_cycle'] = 10
#init_labor_lifecycle['T_retire'] = 7 # IndexError at line 774 in interpolation.py.
init_labor_lifecycle['T_age'] = 11 # Make sure that old people die at terminal age and don't turn into newborns!
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