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The Long-Term Effects of Medicaid
Exposure in Early Childhood
Michel Boudreaux
University of Minnesota
June 23, 2014
1
Acknowledgments
• Funding
– UofM Interdisciplinary Doctoral Fellowship
– AHRQ Dissertation Grant
• All errors and opinions are my own
• Dissertation committee
– Donna McAlpine & Ezra Golberstein (co-advisers)
– Bryan Dowd
– Julian Wolfson
2
Aim and approach
• Research Question
– Does exposure to Medicaid in early childhood
improve health and economic outcomes in
adulthood?
• Empirical Challenge
– Unobserved selection into the program
• Use state-by-time variation in Medicaid using to
measure the effect of exposure to policy
3
Motivation
• Medicaid exposure earlier in childhood improves
outcomes later in childhood
– Self-reported health, mortality, academic achievement
• Mechanisms
– Improvements in child health that persist over-time
– Improvement in family economic resources
• Contribution
– Do benefits persist into the adult period?
(Currie & Almond, 2011; Currie et al., 2008; Meyer & Wherry, 2012; Levine et al.,
2009 )
4
Study setting
• Staggered timing of Medicaid’s introduction
across the states
– Created variation in the amount of early life
exposure to Medicaid
• Enacted in 1965
– Roll out mainly occurred between 1966-1970
– By 1972, all but 1 state had a program
5
Components of Medicaid
• Prior to Medicaid health services for poor
children were limited
• Mandated that all people receiving cash
welfare (AFDC) were to be automatically
enrolled
– Income thresholds for eligibility were low
• Covered services with no copay
– Physician services, hospital stays, lab and x-ray
• 4.5 million child participants by 1976
6
Short-term effects
• Two papers find substantial effects to short-
run health
– In groups targeted by Medicaid
• 60% reduction in the incidence of low birth weight
• 24% reduction in child mortality
• Other work from this project
– 51% increase in hospital utilization among
young low-income children
(Decker and Gruber 1993; Goodman-Bacon 2013; Boudreaux, 2014)
7
Medicaid adoption by quarter and year
8
Timing of Adoption
• Many things were changing around Medicaid’s
introduction
– Other social programs and changing health care
markets
• 3 strategies to account for coincident changes
– Control for observed changes in social policy and
health markets
– State specific time trends
– Compare target and placebo groups
9
Data
• 1968-2009 Panel Study of Income Dynamics
– Follows respondents and their descendants
– A large oversample of low income families
• Key measures
– Health (chronic conditions)
– Economic status (education, income, wealth)
– Demographic information (place and time of
birth)
10
Sample selection
• 1955-1980 birth cohorts
– 5 cohorts with no Medicaid exposure prior to age 6
– 11 cohorts w/exposure starting in early childhood
– 10 cohorts exposed starting in utero
• I drop AZ (< 1% of sample)
• A sample of adults (Age 18-54 )
– Average age is 37 at follow-up
– Attach childhood characteristics
• Define childhood exposure and isolate subgroups
targeted by the program
11
Medicaid exposure
• Share of months from conception to 6th
birthday (“early childhood”)
• Calculated based on state of birth
• Range is [0,1]
• A function of time and place of birth
• Measures exposure to policy, not participation
12
Average months exposed
13
Outcome Indexes
• Indexing improves precision and reduces
problems associated with multiple comparisons
– Equally weighted mean of z-scores
• Chronic Condition Index ( 𝑥=-0.03; sd=0.6)
– Hypertension, diabetes, heart disease, obesity
• Economic index ( 𝑥=0.3; sd=0.9)
– Years of education, poverty level, family wealth
(Anderson, 2008; Hoynes et al. 2013)
14
Models
𝑦𝑖𝑛𝑠𝑡
= 𝜆𝑀𝐶𝐴𝐼𝐷𝑆𝐻𝐴𝑅𝐸𝑠𝑡 + 𝛽𝑋𝑖𝑛𝑠𝑡 + 𝜙𝑍𝑠𝑡
+ 𝜌 𝑛 + 𝛿𝑡 + 𝛾𝑠 + (𝛾𝑠∗ 𝑡) + 𝑒𝑖𝑛𝑠𝑡
• OLS
• Sample weights adjust for initial selection
and attrition
• Standard errors clustered on state of birth
(Bertrand et al. 2004)
15
Target vs placebo groups
• Low income (< 150% Poverty Line)
– Average level in the early childhood period
• Any AFDC in childhood: 40%
– Placebo group: Moderate Income (175-300)
• Predicted probability of AFDC participation
– Vary across 16 demographic groups
– From 1976-1977 PSID
16
The effect of Medicaid in childhood
on adult health and economic status
Low Income Moderate Income
Effect of Medicaid
Exposure SE
Effect of Medicaid
Exposure SE
Condition Index -0.36** 0.13 0.05 0.12
Sample Size 5,926 5,695
Mean of Y -0.01 -0.14
R2 0.21 .15
Economic Index -0.11 .21 -0.03 0.14
Sample Size 5,973 11,210
Mean of Y -0.24 -0.2
R2 0.33 .12
*p<0.1; **p<0.05; ***p<0.01
Models control for demographics, contextual controls, fixed effects 17
Predicted AFDC Participation Models
18
Condition
Index
Economic
Index
Coef. SE Coef. SE
Medicaid Exposure -0.03 0.08 -0.16 0.14
Exposure*Predicted Participation -0.88* 0.45 -0.07 1.10
Sample Size 18,094 17,970
Mean of Y -0.04 0.19
R2 0.12 0.25
*p<0.1; **p<0.05; ***p<0.01
Models control for demographics, contextual controls, fixed effects
Robustness
• School and Hospital desegregation
– Results robust to removing southern born non-
whites
• Selective migration
– Robust to removing cases that moved states in
the early childhood period
• GEE specification
19
Limitations
• I can not identify exact mechanisms
– Economic resources
– Health
• But what services, specifically?
• Can not determine if there is a critical
period embedded in the early childhood
years
20
Summary and Implications
• Exposure to Medicaid in early childhood
appears to decrease the prevalence of adult
chronic conditions, but no evidence of
economic impact
– Point estimate implies a reduction in the
probability of having one chronic condition of
0.4
• This study suggests that providing health
insurance at early ages produces long-term
benefits for low income children
21
Thank You
Michel Boudreaux
boudr019@umn.edu
22

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Boudreaux ashe

  • 1. The Long-Term Effects of Medicaid Exposure in Early Childhood Michel Boudreaux University of Minnesota June 23, 2014 1
  • 2. Acknowledgments • Funding – UofM Interdisciplinary Doctoral Fellowship – AHRQ Dissertation Grant • All errors and opinions are my own • Dissertation committee – Donna McAlpine & Ezra Golberstein (co-advisers) – Bryan Dowd – Julian Wolfson 2
  • 3. Aim and approach • Research Question – Does exposure to Medicaid in early childhood improve health and economic outcomes in adulthood? • Empirical Challenge – Unobserved selection into the program • Use state-by-time variation in Medicaid using to measure the effect of exposure to policy 3
  • 4. Motivation • Medicaid exposure earlier in childhood improves outcomes later in childhood – Self-reported health, mortality, academic achievement • Mechanisms – Improvements in child health that persist over-time – Improvement in family economic resources • Contribution – Do benefits persist into the adult period? (Currie & Almond, 2011; Currie et al., 2008; Meyer & Wherry, 2012; Levine et al., 2009 ) 4
  • 5. Study setting • Staggered timing of Medicaid’s introduction across the states – Created variation in the amount of early life exposure to Medicaid • Enacted in 1965 – Roll out mainly occurred between 1966-1970 – By 1972, all but 1 state had a program 5
  • 6. Components of Medicaid • Prior to Medicaid health services for poor children were limited • Mandated that all people receiving cash welfare (AFDC) were to be automatically enrolled – Income thresholds for eligibility were low • Covered services with no copay – Physician services, hospital stays, lab and x-ray • 4.5 million child participants by 1976 6
  • 7. Short-term effects • Two papers find substantial effects to short- run health – In groups targeted by Medicaid • 60% reduction in the incidence of low birth weight • 24% reduction in child mortality • Other work from this project – 51% increase in hospital utilization among young low-income children (Decker and Gruber 1993; Goodman-Bacon 2013; Boudreaux, 2014) 7
  • 8. Medicaid adoption by quarter and year 8
  • 9. Timing of Adoption • Many things were changing around Medicaid’s introduction – Other social programs and changing health care markets • 3 strategies to account for coincident changes – Control for observed changes in social policy and health markets – State specific time trends – Compare target and placebo groups 9
  • 10. Data • 1968-2009 Panel Study of Income Dynamics – Follows respondents and their descendants – A large oversample of low income families • Key measures – Health (chronic conditions) – Economic status (education, income, wealth) – Demographic information (place and time of birth) 10
  • 11. Sample selection • 1955-1980 birth cohorts – 5 cohorts with no Medicaid exposure prior to age 6 – 11 cohorts w/exposure starting in early childhood – 10 cohorts exposed starting in utero • I drop AZ (< 1% of sample) • A sample of adults (Age 18-54 ) – Average age is 37 at follow-up – Attach childhood characteristics • Define childhood exposure and isolate subgroups targeted by the program 11
  • 12. Medicaid exposure • Share of months from conception to 6th birthday (“early childhood”) • Calculated based on state of birth • Range is [0,1] • A function of time and place of birth • Measures exposure to policy, not participation 12
  • 14. Outcome Indexes • Indexing improves precision and reduces problems associated with multiple comparisons – Equally weighted mean of z-scores • Chronic Condition Index ( 𝑥=-0.03; sd=0.6) – Hypertension, diabetes, heart disease, obesity • Economic index ( 𝑥=0.3; sd=0.9) – Years of education, poverty level, family wealth (Anderson, 2008; Hoynes et al. 2013) 14
  • 15. Models 𝑦𝑖𝑛𝑠𝑡 = 𝜆𝑀𝐶𝐴𝐼𝐷𝑆𝐻𝐴𝑅𝐸𝑠𝑡 + 𝛽𝑋𝑖𝑛𝑠𝑡 + 𝜙𝑍𝑠𝑡 + 𝜌 𝑛 + 𝛿𝑡 + 𝛾𝑠 + (𝛾𝑠∗ 𝑡) + 𝑒𝑖𝑛𝑠𝑡 • OLS • Sample weights adjust for initial selection and attrition • Standard errors clustered on state of birth (Bertrand et al. 2004) 15
  • 16. Target vs placebo groups • Low income (< 150% Poverty Line) – Average level in the early childhood period • Any AFDC in childhood: 40% – Placebo group: Moderate Income (175-300) • Predicted probability of AFDC participation – Vary across 16 demographic groups – From 1976-1977 PSID 16
  • 17. The effect of Medicaid in childhood on adult health and economic status Low Income Moderate Income Effect of Medicaid Exposure SE Effect of Medicaid Exposure SE Condition Index -0.36** 0.13 0.05 0.12 Sample Size 5,926 5,695 Mean of Y -0.01 -0.14 R2 0.21 .15 Economic Index -0.11 .21 -0.03 0.14 Sample Size 5,973 11,210 Mean of Y -0.24 -0.2 R2 0.33 .12 *p<0.1; **p<0.05; ***p<0.01 Models control for demographics, contextual controls, fixed effects 17
  • 18. Predicted AFDC Participation Models 18 Condition Index Economic Index Coef. SE Coef. SE Medicaid Exposure -0.03 0.08 -0.16 0.14 Exposure*Predicted Participation -0.88* 0.45 -0.07 1.10 Sample Size 18,094 17,970 Mean of Y -0.04 0.19 R2 0.12 0.25 *p<0.1; **p<0.05; ***p<0.01 Models control for demographics, contextual controls, fixed effects
  • 19. Robustness • School and Hospital desegregation – Results robust to removing southern born non- whites • Selective migration – Robust to removing cases that moved states in the early childhood period • GEE specification 19
  • 20. Limitations • I can not identify exact mechanisms – Economic resources – Health • But what services, specifically? • Can not determine if there is a critical period embedded in the early childhood years 20
  • 21. Summary and Implications • Exposure to Medicaid in early childhood appears to decrease the prevalence of adult chronic conditions, but no evidence of economic impact – Point estimate implies a reduction in the probability of having one chronic condition of 0.4 • This study suggests that providing health insurance at early ages produces long-term benefits for low income children 21

Notes de l'éditeur

  1. I like this one.