Source code for utility_modules.calibrate_exante_latents

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#PARAMETERS
import pandas as pd
import pdb
class calibrate_exante_latents():
    def __init__(self,calibrate_ex_ante_variables,Latent_vars,output_calib,person_id):
        #all input parameters
        self.delta=calibrate_ex_ante_variables['delta']
        self.seed=calibrate_ex_ante_variables['seed']
        self.IM_range_under400=calibrate_ex_ante_variables['IM_range_under400']
        self.IM_range_over400=calibrate_ex_ante_variables['IM_range_over400']
        self.unins_delta=calibrate_ex_ante_variables['unins_delta']
        self.unins_random=calibrate_ex_ante_variables['unins_random']
        self.extra_esi_delta=calibrate_ex_ante_variables['extra_esi_delta']
        self.extra_esi_latent=calibrate_ex_ante_variables['extra_esi_latent']
        self.esi_crowdout_delta=calibrate_ex_ante_variables['esi_crowdout_delta']
        self.extra_medicaid_delta = calibrate_ex_ante_variables['extra_medicaid_delta']
        self.Latent_vars=Latent_vars
        self.long_calibration_table=output_calib
        #read in person_id of hieu_table so that the program can know the shape of output exante when there is no update_lv
        self.person_id=person_id

    #import firm_choice

    def create_ex_ante_latent(self):
        #the case we don't have update_lv
        if self.Latent_vars is None:
            exante_latents=pd.DataFrame(data=0,index=range(0,self.person_id.shape[0]),\
            columns=['c_unins','c_esi_self','c_esi_spouse','c_esi_parent_1','c_esi_parent_2','c_silver','c_bronze','c_cat','c_mcaid','c_mcare','c_unins_adj' \
                         'c_esi_self_adj','c_esi_spouse_adj', 'c_esi_parent_1_adj', 'c_esi_parent_2_adj', 'c_silver_adj', 'c_bronze_adj', 'c_cat_adj', 'c_mcaid_adj','c_mcare_adj','person_id'])
            #create the exante_latents with all 0 but have all person_id
            exante_latents.person_id = self.person_id.astype(int)
        #Dave should add his code here


        #temporarily just return 0
        return 0

    # EXPORT TO INDIVIDUAL DATA FOLDER