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f_globalLists.do
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// ----------------------------------------------------------------------------
// f_globalList.do file
// ----------------------------------------------------------------------------
global MEPS_HRS_Keep_Listv ///
year age lage d_female d_partner d_black d_hispanic numChildren region ///
laborIncome laborIncHH preGovIncHH ///
healthStatus L_healthStatus F_healthStatus ///
healthStatusD L_healthStatusD F_healthStatusD ///
d_healthy BMI d_smoke d_dead ///
F_d_attrit F_d_attritDeath F_d_attritNoDeath ///
healthExpenditure healthExp_noCohort ///
healthExpenditureHH ///
OOPExpenditure OOPExpenditureHH OOPExp_noCohort ///
d_noHiSchool d_hiSchool d_college ///
d_insured d_public_insurance d_private_insurance d_head ///
d_cohort* ///
persID persweight int_persweight ///
famID famweight int_famweight ///
varstr varpsu ///
d_NMES d_MEPS d_HRS ///
l5cohort l10cohort period
global MEPS_Listv healthCapital
// ----------------------------------------------------------------------------
// Set global lists for summary stats and regressions
// ----------------------------------------------------------------------------
global MEPS_HRS_SumStat1 d_year*
global MEPS_HRS_SumStat2 age_year*
global MEPS_HRS_SumStat3 ///
age d_female d_partner d_black ///
d_noHiSchool d_hiSchool d_college ///
laborIncome laborIncHH preGovIncHH ///
d_Excellent d_VeryGood d_Good d_Fair d_Poor ///
d_iniExcellent d_iniVeryGood d_iniGood d_iniFair d_iniPoor ///
d_dead F_d_attritDeath ///
d_healthy BMI d_smoke ///
OOPExpenditure OOPExpenditureHH ///
d_insured d_public_insurance d_private_insurance d_head
global periodInteraction i.d_period1 i.d_period2 ///
i.d_black#i.d_period1 i.d_black#i.d_period2 ///
i.d_female#i.d_period1 i.d_female#i.d_period2
global Xv_ageOnly ///
c.age c.age#c.age c.age#c.age#c.age
global Xv ///
c.age c.age#c.age c.age#c.age#c.age ///
i.d_partner ///
i.d_smoke ///
i.d_female i.d_female#c.age ///
i.d_black i.d_black#c.age ///
i.d_hispanic ///
i.d_hiSchool i.d_college c.preGovIncHH i.region
global Xv_cmp ///
c.age c.age#c.age c.age#c.age#c.age ///
i.d_partner ///
i.d_female i.d_female#c.age ///
i.d_black i.d_black#c.age ///
i.d_hispanic ///
i.d_hiSchool i.d_college i.region
global Xv_higherPoly ///
c.age c.age#c.age c.age#c.age#c.age ///
i.d_partner ///
i.d_smoke ///
i.d_female i.d_female#c.age i.d_female#c.age#c.age ///
i.d_black i.d_black#c.age i.d_black#c.age#c.age ///
i.d_hispanic ///
i.d_hiSchool i.d_college c.preGovIncHH i.region
global Xv_esample ///
age ///
d_female d_partner d_smoke d_black d_hispanic ///
d_hiSchool d_college preGovIncHH region