update estimate

code/do_all.py

@@ -99,15 +99,15 @@ def run_replication():
     replication_specs = {}
 
     if which_model == "1" or which_model == "":
-        replication_specs["init_agent_name"] = "IndShock"
+        replication_specs["agent_name"] = "IndShock"
     elif which_model == "2":
-        replication_specs["init_agent_name"] = "Portfolio"
+        replication_specs["agent_name"] = "Portfolio"
     elif which_model == "3":
-        replication_specs["init_agent_name"] = "WarmGlow"
+        replication_specs["agent_name"] = "WarmGlow"
     elif which_model == "4":
-        replication_specs["init_agent_name"] = "WarmGlowPortfolio"
+        replication_specs["agent_name"] = "WarmGlowPortfolio"
     elif which_model == "5":
-        replication_specs["init_agent_name"] = "WealthPortfolio"
+        replication_specs["agent_name"] = "WealthPortfolio"
     else:
         print("Invalid model choice.")
         return

code/estimark/chris_parameters.py

@@ -55,7 +55,6 @@
 bootstrap_size = 50  # Number of re-estimations to do during bootstrap
 seed = 1132023  # Just an integer to seed the estimation
 
-
 params_to_estimate = ["CRRA"]
 # Initial guess of the coefficient of relative risk aversion during estimation (rho)
 init_CRRA = 5.0
@@ -69,7 +68,6 @@
 init_WealthShare = 0.5  # Initial guess of the wealth share parameter
 bounds_WealthShare = [0.0, 1.0]  # Bounds for the wealth share parameter
 
-
 ######################################################################
 # Constructed parameters
 ######################################################################
@@ -114,7 +112,6 @@
     retirement_age + age_interval + 1,
 )  # only match ages 71 and older
 
-
 init_params_options = {
     "init_guess": {
         "CRRA": init_CRRA,
@@ -133,7 +130,6 @@
     },
 }
 
-
 # Survival probabilities over the lifecycle
 liv_prb = parse_ssa_life_table(
     female=False,