A Unified Welfare Analysis of Government PoliciesMost policies (i.e. reduced-form variations,...
Transcript of A Unified Welfare Analysis of Government PoliciesMost policies (i.e. reduced-form variations,...
A Unified Welfare Analysis of Government Policies
Nathaniel Hendren and Ben Sprung-Keyser
Harvard
December, 2019
What government policies do the most to improve social welfare?
β Should we spend more (or less) on health insurance? β Should we raise top marginal income tax rates? β Should we invest more in children? At what age?
There is existing research analyzing the effect of many of these policy changes
β But little work quantifying the broad trade-offs across policy categoriesβ Often different welfare methods used (CBA, MCPF, cost per life savedβ¦)
This paper: Conducts a unified welfare analysis of historical policy changes in the US over the past half century
β Study 133 policy changes spanning four major categories: Social insurance, education and job training, taxes and cash transfers, and in-kind transfers
A Unified Welfare Analysis of Government Policies
For each policy change, we draw upon estimates in existing literature to measure:β The benefits to its recipients (measured as willingness to pay) β The net cost to the government (inclusive of fiscal externalities)β We take the ratio of benefits to net cost to form its Marginal Value of Public Funds:
ππππππππ =π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π π β² πππ΅π΅πππππ΅π΅π΅π΅πππ΅π΅π΅π΅π π π π π‘π‘π‘π‘ πππ΅π΅ππ
πππ΅π΅π‘π‘ πΊπΊπ‘π‘πΊπΊπ΅π΅π΅π΅π΅π΅πππ΅π΅π΅π΅π‘π‘ πΆπΆπ‘π‘π π π‘π‘
β Differs from traditional benefit/cost ratios by focusing on incidence of costs on government
Comparisons of MVPFs yield social welfare impactsβ Suppose Policy 1 has ππππππππ1 = 1 and Policy 2 has ππππππππ2 = 2β More spending on policy 2 financed by less on 1 increases social welfare iff prefer to take $1 from
Policy 1 beneficiaries to give $2 to policy 2 beneficiariesβ MVPF quantifies the tradeoffs across policiesβ Infinite MVPFs correspond to policies that pay for themselves (ππππππ > 0 and πΆπΆπ‘π‘π π π‘π‘ < 0)
Measuring the Marginal Value of Public Funds
Construct comprehensive sample of policy changes (more formally, βidentification conditionsβ) from survey and review articles in the four domains
For each policy change, translate estimated impacts into the MVPF
Assess robustness to range of assumptionsβ Program Parameters (discount rate, tax rate, etc.) β Forecasting/Extrapolation of Observed Effectsβ Validity of Empirical Designs (RCTs/RDs vs. Diff-in-Diff; Peer Reviewed vs. not; etc.)β Publication Bias (Andrews and Kasy, 2018)β Missing Causal Estimates (e.g. restrict to subsets of policies with different sets of observed effects)
Detailed appendices + posted .do files on GitHub for exploration
Data and Approach
Direct investments in low-income children have had the highest MVPFsβ High MVPFs throughout childhood: K12, college and health, not just preschoolβ Many policies βpay for themselvesβ (e.g. 3 out of 4 child Medicaid expansions)β Lower MVPFs for policies targeting adults (MVPFs ranging from 0.5-2)
Several exceptions:β’ Children: Large variation in estimates with some low MVPFs (e.g. SSI)β’ Adults: Policies with indirect impacts on children (e.g. Moving to Opportunity)
Library of MVPFs provides tests of a range of theories (optimal taxation, in-kind vs cash transfers, optimal policy targeting, value of correcting market failuresβ¦)
Lessons for future welfare analysesβ Comparison to traditional Benefit-Cost analysisβ Statistical decision theory to quantify value of future work reducing uncertainty
Results Roadmap
1
2 What We Find: MVPF Estimates and Robustness
What We Do: Our Method and An Example
Outline
3 Relation to Previous Theory
4 Lessons for Future Welfare Analyses
1 What We Do: Our Method and An Example
Outline
β’ Deriving the MVPF
β’ Measuring the MVPF: An Education Example
Goal: Illustrate how the MVPF translates βreduced formβ policy changes into precise statements about the social welfare impact of those policy changes
Define social welfare:
ππ = β« πππππ’π’ππ
β π’π’ππ is individual π΅π΅βs utility function β’ Expected future discounted utility (e.g. π’π’ππ = πΈπΈ[βπ‘π‘β₯0 π½π½ππ πΊπΊπππ‘π‘])
β ππππ is π΅π΅βs Pareto weightβ Define ππππ = ππππππππ, where ππππ is the marginal utility of incomeβ Ratios ππππ
ππππcorrespond to βOkunβs Bucketβ (Okun, 1976)
General Welfare Framework
Consider policy change ππππ (e.g. change in tax rate, educ. subsidy, etc.)
First-order welfare impact:
ππππππππ = οΏ½
πππππππππ’π’ππππππ = οΏ½Μ οΏ½πππ οΏ½
ππππππππππ
β«ππππππππππ = β«ππ
πππ’π’ππππππ
ππππis the sum of WTP by beneficiaries out of their own income for the policy
οΏ½Μ οΏ½πππ = β« ππππππππππππβ«ππ ππππππππ
is incidence-weighted average social marginal utility of income
Impact of Policy Change on Social Welfare
Most policies (i.e. reduced-form variations, ππππ) are not budget neutralβ Let π π denote govt budget and πΊπΊ = ππππ
ππππdenote impact on govt budget that must be financed
β πΊπΊ includes any fiscal externalities from behavioral responses to the policy
The Marginal Value of Public Funds (MVPF) of policy ππ is given by:
ππππππππππ =β«ππππππππ
πΊπΊ =πππ΅π΅πππππ΅π΅π΅π΅πππ΅π΅π΅π΅π π π π π‘π‘π‘π‘ πππ΅π΅ππ
πππ΅π΅π‘π‘ πΆπΆπ‘π‘π π π‘π‘
$1 of govt spending on the policy delivers $ππππππππ benefits to the beneficiaries of the policy [Mayshar (1990), Slemrod and Yitzhaki (1996, 2001), Kleven and Kreiner (2006), Hendren (2017)]
β Delivers οΏ½Μ οΏ½πππππππππππππ in social welfare
Compare Policies by Normalizing by Cost
Take two (non-budget neutral) policies: policy 1 and policy 2
Consider budget neutral policy, ππππ: increase spending on policy 1 financed from less spending (greater revenue) from policy 2
To first order, combined policy increases social welfare (ππππππππ
> 0) if only if
οΏ½Μ οΏ½π1ππππππππ1 > οΏ½Μ οΏ½π2ππππππππ2
MVPFs characterize price of delivering welfare to the beneficiaries through the policyβ Motivates comparing policies with similar distributional incidence (οΏ½Μ οΏ½π1 β οΏ½Μ οΏ½π2)β Laffer effect occurs when ππππππ > 0 and πππ΅π΅π‘π‘ πΆπΆπ‘π‘π π π‘π‘ < 0 β ππππππππ = β
MVPFs (+ social preferences) are the building blocks for measuring the first-order welfare impact of policy changes
MVPF Facilitates Construction of Policies that Increase Welfare
Outline
1 What We Do: Our Method and An Example
β’ Deriving the MVPF
β’ Measuring the MVPF: An Education Example
Florida International University (FIU) had a minimum GPA threshold for admission that created a fuzzy discontinuity
Zimmerman (2014) utilizes this discontinuity to examine the impact of FIU admission on earnings for 14 years after admission.
Admission to Florida International University
Impact of College Attendance on Earnings: Zimmerman (2014)
-30K
-20K
-10K
0
$10K
Net Cost to Government of Admission to Florida International University
Note: All amounts in 2005 USD, discounted using a 3% real interest rate
$11.4K
-30K
-20K
-10K
0
$10K
TotalFIU Cost
Net Cost to Government of Admission to Florida International University
Cost per admission to FIU (IPEDS/Zimmerman (2014))
Note: All amounts in 2005 USD, discounted using a 3% real interest rate
$11.4K
-30K
-20K
-10K
0
$10K
TotalFIU Cost
$-3.2K
StudentContribution
Net Cost to Government of Admission to Florida International University
Student payments/loans contribute $3.2K
Note: All amounts in 2012 USD, discounted using CPI-U-RS and 3% real interest rate
$11.4K
-30K
-20K
-10K
0
$10K
TotalFIU Cost
$-3.2K
StudentContribution
Net Cost to Government of Admission to Florida International University
$-5.6K
CommunityCollege Exp.
5.6K reduction in community college govt spending
Note: All amounts in 2012 USD, discounted using CPI-U-RS and 3% real interest rate
$11.4K
-30K
-20K
-10K
0
$10K
TotalFIU Cost
$-3.2K
StudentContribution
Net Cost to Government of Admission to Florida International University
$-5.6K
CommunityCollege Exp.
Net Upfront Govβt Cost: 2.6K
Note: All amounts in 2012 USD, discounted using CPI-U-RS and 3% real interest rate
$11.4K
-30K
-20K
-10K
0
$10K
TotalFIU Cost
$-3.2K
StudentContribution
Net Cost to Government of Admission to Florida International University
$-5.6K
CommunityCollege Exp.
$2.0K
Taxes fromage 19-25earnings
Lost tax revenue from initial earnings declines from college attendance
Note: All amounts in 2012 USD, discounted using CPI-U-RS and 3% real interest rate
$11.4K
-30K
-20K
-10K
0
$10K
TotalFIU Cost
$-3.2K
StudentContribution
Net Cost to Government of Admission to Florida International University
$-5.6K
CommunityCollege Exp.
$2.0K
$-7.3K
$7.3K increase in tax revenue from ages 26-33 (18.6% tax+transfer, CBO)
Note: All amounts in 2012 USD, discounted using CPI-U-RS and 3% real interest rate
Taxes fromage 19-25earnings
Taxes fromage 26-33earnings
$11.4K
-30K
-20K
-10K
0
$10K
TotalFIU Cost
$-3.2K
StudentContribution
Net Cost to Government of Admission to Florida International University
$-5.6K
CommunityCollege Exp.
$2.0K
$-7.3K $-2.7K
Net Cost ToGovernment
Net government savings of $2.7K by age 33
Note: All amounts in 2012 USD, discounted using CPI-U-RS and 3% real interest rate
Taxes fromage 19-25earnings
Taxes fromage 26-33earnings
$11.4K
-30K
-20K
-10K
0
$10K
TotalFIU Cost
$-3.2K
StudentContribution
Net Cost to Government of Admission to Florida International University
$-5.6K
CommunityCollege Exp.
$2.0K
$-7.3K $-2.7K
Net Cost ToGovernment
Policy pays for itself ππππππππ = β
Note: All amounts in 2012 USD, discounted using CPI-U-RS and 3% real interest rate
Taxes fromage 19-25earnings
Taxes fromage 26-33earnings
0
-40k
-20k
20k
40kC
umul
ativ
e G
ovt C
ost
0 10 20 30 40 50 60 70Age
Net Cost by Age to Government of Admission to Florida International University
Observe outcomes through age 33What about future ages?
Forecast future earnings using cross-section in ACS, following previous literature (e.g. Chetty, Hendren, Katz (2016))
Forecasting Future Earnings using the Cross-sectional Age DistributionMean 2015 ACS Earnings by Age with 0.5% Growth
0
10k
20k
30k
40k
50k
60k
Wag
e0
-40k
-20k
20k
40kC
umul
ativ
e G
ovt C
ost
0 10 20 30 40 50 60 70Age
0
10k
20k
30k
40k
50k
60k
Wag
e0
-40k
-20k
20k
40kC
umul
ativ
e G
ovt C
ost
0 10 20 30 40 50 60 70Age
Forecasting Future Earnings using the Cross-sectional Age DistributionControl Group Earnings
Control group earnings are 97% of mean earnings at age 30
0
10k
20k
30k
40k
50k
60k
Wag
e0
-40k
-20k
20k
40kC
umul
ativ
e G
ovt C
ost
0 10 20 30 40 50 60 70Age
Assume constant % of mean earnings over life-cycle
Forecasting Future Earnings using the Cross-sectional Age DistributionControl Group Forecast
0
10k
20k
30k
40k
50k
60k
Wag
e0
-40k
-20k
20k
40kC
umul
ativ
e G
ovt C
ost
0 10 20 30 40 50 60 70Age
Forecasting Future Earnings using the Cross-sectional Age DistributionControl Group Earnings + Treatment Effect
Add Treatment Effect to Control Group Earnings
Forecasting Future Earnings using the Cross-sectional Age DistributionTreatment Group Forecast
0
10k
20k
30k
40k
50k
60k
Wag
e0
-40k
-20k
20k
40kC
umul
ativ
e G
ovt C
ost
0 10 20 30 40 50 60 70Age
Forecast assuming constant % impact on earnings
0
-40k
-20k
20k
40kC
umul
ativ
e G
ovt C
ost
0 10 20 30 40 50 60 70Age
Net Cost by Age to Government of Admission to Florida International UniversityForecasting Future Tax/Transfer Revenue Original $11.4K cost returns
$24.4K to the government over the personβs lifetime
π΄π΄π΄π΄π΄π΄π΄π΄ = β
(Regardless of WTP)
-25K
0
50K
100K
WTP
($)
Private tuitionpayments
Age 19-25 Age 26-33 Age 34+ BaselineWTP
Willingness to Pay for Admission into Florida International UniversityBaseline WTP
after-taxearnings
after-taxearnings
after-taxearnings
For each policy, form a βconservativeβ and βbaselineβ WTP estimate
-25K
0
50K
100K
WTP
($)
Private tuitionpayments
Age 19-25 Age 26-33 Age 34+ BaselineWTP
Willingness to Pay for Admission into Florida International UniversityBaseline WTP
after-taxearnings
after-taxearnings
after-taxearnings
Baseline Estimate: Value WTP using impact on net after-tax income
β’ Valid if no impact on labor effort/disutility and no other impact of education on utility
$29.1K
$95.5K
$-2.9K$-8.9K
$112.8K
-25K
0
50K
100K
WTP
($)
Private tuitionpayments
Age 19-25 Age 26-33 Age 34+ BaselineWTP
Willingness to Pay for Admission into Florida International UniversityBaseline WTP
after-taxearnings
after-taxearnings
after-taxearnings
1
2 What We Find: MVPF Estimates and Robustness
What We Do: Our Method and An Example
Outline
3 Relation to Previous Theory
4 Lessons for Future Welfare Analyses
Medicaid Example from Miller and Wherry (2018)
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
Direct Investments in Children Historically Had Highest MVPFs
βFIU GPA
AFDC Term Limits
EITC 1986
EITC 1993AFDC Generosity
Alaska UBI
Neg Inc Tax
Paycheck+
Abecedarian
K12 SpendAOTC (JS)
AOTC (SS)
AOTC (SI) HOPE Cred.
HTC (JS)
HTC (JE)
HTC (SE)
Tuition Deduc (SS)
AOTC (IS)
HTC (IS)
Adult Pell
AOTC (JE)
AOTC (SE)HOPE/LLCHTC (SS)
Tuition Deduc (JE)
Tuition Deduc (JS)
Tuition Deduc (SE)
Ohio Pell
MA Scholarship
Cal Grant GPA
Cal Grant Inc
CC Mich
CC Texas
CUNY Pell
DC Grant
FIU GPA
Florida Grant
Georgia HOPE
Kalamazoo
College Spend
College TuitionTN Pell
Soc Sec College
TN Hope
Texas Pell
WI Scholarship
DI Judge
DI Examiner
DI GenerosityDI Veterans
Oregon Health
Mass HI (150%FPL)
Mass HI (200%FPL)
Mass HI (250%FPL)
Medigap Tax
Medicare Intro
MC Pregnant & Infants
MC Intro
MC Child 83+
HCV Chicago Lottery
HCV RCT to Welfare
NSW Youth
Job CorpsJTPA Youth
JobStartYear Up
NSW Ex-Addict
NSW Ex-Offender
JTPA AdultNSW Women
Work Advance
MTO
SNAP Intro
SNAP AssistSNAP InfoSSI Review
SSI Judge
Top Tax 2013Top Tax 2001
Top Tax 1981
Top Tax 1993
Top Tax 1986
UI Ben (DD)
UI Dur (DD)
UI Ben (RK)
UI Ben (State Max)UI Ben (DD w UR)
UI Ben (MO Exp)UI Ben (MO Rec)
UI Ben (NY)
UI Ben (GA)
UI Dur (MO)
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
Direct Investments in Children Historically Had Highest MVPFs Cash TransfersChild Education
College AdultCollege ChildDisability Ins.Health AdultHealth Child
Housing VouchersJob Training
MTONutrition
Supp. Sec. Inc.Top Taxes
Unemp. Ins.
βPerry PreschoolMC Child (State Exp)
Head Start
AFDC Term Limits
EITC 1986
EITC 1993AFDC Generosity
Alaska UBI
Neg Inc Tax
Paycheck+
Abecedarian
K12 SpendAOTC (JS)
AOTC (SS)
AOTC (SI) HOPE Cred.
HTC (JS)
HTC (JE)
HTC (SE)
Tuition Deduc (SS)
AOTC (IS)
HTC (IS)
Adult Pell
AOTC (JE)
AOTC (SE)HOPE/LLCHTC (SS)
Tuition Deduc (JE)
Tuition Deduc (JS)
Tuition Deduc (SE)
Ohio Pell
MA Scholarship
Cal Grant GPA
Cal Grant Inc
CC Mich
CC Texas
CUNY Pell
DC Grant
FIU GPA
Florida Grant
Georgia HOPE
Kalamazoo
College Spend
College TuitionTN Pell
Soc Sec College
TN Hope
Texas Pell
WI Scholarship
DI Judge
DI Examiner
DI GenerosityDI Veterans
Oregon Health
Mass HI (150%FPL)
Mass HI (200%FPL)
Mass HI (250%FPL)
Medigap Tax
Medicare Intro
MC Pregnant & Infants
MC Intro
MC Child 83+
HCV Chicago Lottery
HCV RCT to Welfare
NSW Youth
Job CorpsJTPA Youth
JobStartYear Up
NSW Ex-Addict
NSW Ex-Offender
JTPA AdultNSW Women
Work Advance
MTO
SNAP Intro
SNAP AssistSNAP InfoSSI Review
SSI Judge
Top Tax 2013Top Tax 2001
Top Tax 1981
Top Tax 1993
Top Tax 1986
UI Ben (DD)
UI Dur (DD)
UI Ben (RK)
UI Ben (State Max)UI Ben (DD w UR)
UI Ben (MO Exp)UI Ben (MO Rec)
UI Ben (NY)
UI Ben (GA)
UI Dur (MO)
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
Direct Investments in Children Historically Had Highest MVPFs Cash TransfersChild Education
College AdultCollege ChildDisability Ins.Health AdultHealth Child
Housing VouchersJob Training
MTONutrition
Supp. Sec. Inc.Top Taxes
Unemp. Ins.
βPerry PreschoolMC Child (State Exp)
Head Start
High MVPFs for policies targeting children
AFDC Term Limits
EITC 1986
EITC 1993AFDC Generosity
Alaska UBI
Neg Inc Tax
Paycheck+
Abecedarian
K12 SpendAOTC (JS)
AOTC (SS)
AOTC (SI) HOPE Cred.
HTC (JS)
HTC (JE)
HTC (SE)
Tuition Deduc (SS)
AOTC (IS)
HTC (IS)
Adult Pell
AOTC (JE)
AOTC (SE)HOPE/LLCHTC (SS)
Tuition Deduc (JE)
Tuition Deduc (JS)
Tuition Deduc (SE)
Ohio Pell
MA Scholarship
Cal Grant GPA
Cal Grant Inc
CC Mich
CC Texas
CUNY Pell
DC Grant
FIU GPA
Florida Grant
Georgia HOPE
Kalamazoo
College Spend
College TuitionTN Pell
Soc Sec College
TN Hope
Texas Pell
WI Scholarship
DI Judge
DI Examiner
DI GenerosityDI Veterans
Oregon Health
Mass HI (150%FPL)
Mass HI (200%FPL)
Mass HI (250%FPL)
Medigap Tax
Medicare Intro
MC Pregnant & Infants
MC Intro
MC Child 83+
HCV Chicago Lottery
HCV RCT to Welfare
NSW Youth
Job CorpsJTPA Youth
JobStartYear Up
NSW Ex-Addict
NSW Ex-Offender
JTPA AdultNSW Women
Work Advance
MTO
SNAP Intro
SNAP AssistSNAP InfoSSI Review
SSI Judge
Top Tax 2013Top Tax 2001
Top Tax 1981
Top Tax 1993
Top Tax 1986
UI Ben (DD)
UI Dur (DD)
UI Ben (RK)
UI Ben (State Max)UI Ben (DD w UR)
UI Ben (MO Exp)UI Ben (MO Rec)
UI Ben (NY)
UI Ben (GA)
UI Dur (MO)
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
Direct Investments in Children Historically Had Highest MVPFs Cash TransfersChild Education
College AdultCollege ChildDisability Ins.Health AdultHealth Child
Housing VouchersJob Training
MTONutrition
Supp. Sec. Inc.Top Taxes
Unemp. Ins.
βPerry PreschoolMC Child (State Exp)
Head Start
Lower MVPFs for policies targeting adults
Direct Investments in Children Historically Had Highest MVPFsWith 95% Confidence Intervals Computed via Modified Bootstrap
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
Cash TransfersChild Education
College AdultCollege ChildDisability Ins.Health AdultHealth Child
Housing VouchersJob Training
MTONutrition
Supp. Sec. Inc.Top Taxes
Unemp. Ins.
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
Direct Investments in Children Historically Had Highest MVPFs Cash TransfersChild Education
College AdultCollege ChildDisability Ins.Health AdultHealth Child
Housing VouchersJob Training
MTONutrition
Supp. Sec. Inc.Top Taxes
Unemp. Ins.
Imagine spending $1 in initial program cost on each domain
ππππππππππππππ =ππππππ1 + ππππππ2 + ππππππ3 + ππππππ4πΆπΆπ‘π‘π π π‘π‘1 + πΆπΆπ‘π‘π π π‘π‘2 + πΆπΆπ‘π‘π π π‘π‘3 + πΆπΆπ‘π‘π π π‘π‘4
β
Direct Investments in Children Historically Had Highest MVPFsCategory Averages
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
Cash Transfers
Child Education
College Adult
College Child
Disability Ins. Health Adult
Health Child
Housing Vouchers
Job Training
Supp. Sec. Inc.
Top Taxes
Unemp. Ins.
<-2
-1
0
1
>2
Cos
t Ove
r Pro
gram
Cos
t
0 20 40 60 80Age of Beneficiaries
Net Costs to Government per $1 of Initial ExpenditureCategory Averages
Child Education College Child
Health Child
<-2
-1
0
1
<-2
-1
0
1
>2
Cos
t Ove
r Pro
gram
Cos
t
0 20 40 60 80Age of Beneficiaries
Net Costs to Government per $1 of Initial ExpenditureCategory Averages
Cash Transfers
Child Education
College Adult
College Child
Disability Ins.
Health Adult
Health Child
Housing Vouchers
Job Training
Supp. Sec. Inc.
Top Taxes
Unemp. Ins.
Not All Child-Targeted Policies Have High MVPFs
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
MA Scholarship
Job Corps
SSI Review
Infinite MVPF for 1981 Top Tax Rateβ¦
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
βTop Tax 1981
Infinite MVPF for 1981 Top Tax Rateβ¦
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
βTop Tax 1981
Policies with Spillovers onto Children Have High MVPFs (e.g. MTO)
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
MTO
Robustness
MVPF Robustness to Alternative Discount Rates3% discount rate
Cash Transfers
Child Education
College Adult
College Child
Disability Ins. Health Adult
Health Child
Housing Vouchers
Job Training
Supp. Sec. Inc.
Top Taxes
Unemp. Ins.
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
MVPF Robustness to Alternative Discount Rates7% discount rate
Cash TransfersChild Education
College AdultCollege Child
Disability Ins. Health Adult
Health Child
Housing Vouchers
Job Training
Supp. Sec. Inc.
Top Taxes
Unemp. Ins.
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
MVPF Robustness to Alternative Tax and Transfer Rates10% Tax and Transfer Rate
Child Education
College AdultCollege Child
Disability Ins. Health Adult
Health Child
Job Training
Top Taxes
Unemp. Ins.
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
Housing Vouchers
Cash Transfers
Supp. Sec. Inc.
MVPF Robustness to Alternative Tax and Transfer Rates30% Tax and Transfer Rate
Child Education
College Adult
College Child
Disability Ins. Health Adult
Health Child
Job Training
Top Taxes
Unemp. Ins.
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
Cash Transfers
Housing Vouchers Supp. Sec. Inc.
MVPFs for Restricted SampleExcluding College-Based Extrapolations
Top Taxes
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
College ChildHealth ChildChild Educationβ
Supp. Sec. Inc.Cash Transfers
Disability Ins. Health AdultJob Training
Unemp. Ins.
MVPF Robustness to WTPConservative Willingness to Pay
WTP/Prog. cost
College Adult
Disability Ins. Health Adult
Job Training
Top Taxes
Unemp. Ins.
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
Child Education
College ChildHealth Child
Supp. Sec. Inc.
Cash TransfersHousing Vouchers
β
Top Taxes
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
MVPF Robustness to ForecastingAssuming Fixed Income over Life Cycle (No Income Growth, Restricted Sample)
College Child
Disability Ins. Health Adult
Supp. Sec. Inc.Cash Transfers
Unemp. Ins.Job Training
β
No ForecastChild Spillovers
Health ChildChild Education
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
MVPF Robustness to Sample/Specification QualityPeer-Reviewed Studies
β
Cash Transfers
Housing VouchersSupp. Sec. Inc.
Child Education
College AdultCollege Child
Disability Ins.Health Adult
Health Child
Top Taxes
Unemp. Ins.Job Training
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
MVPF Robustness to Sample/Specification QualityRCTs, RDs, and Lotteries
β
Cash Transfers
Child Education
College Child
Housing VouchersJob Training
Supp. Sec. Inc.
MVPF by Year of Policy
<-1
0
1
2
3
4
>5
MVP
F
1960 1980 2000 2020Year
β
MVPF by Year of PolicyAverages by Decade
Adult Policies
Child Policies
<-1
0
1
2
3
4
>5
MVP
F
1960 1970 1980 1990 2000 2010Year
β
Our estimates are constrained by the existence of previous literature
Would Perry Preschool have been published if the effects were an (imprecise) zero?
Andrews and Kasy (2018) provide a method to test for and correct publication bias
Child Policies: 3-4 times more likely to be published if they find a repayment effect
Adult Policies: up to 12 times more likely to be published if they find a distortionary effect
Publication Bias
Table
MVPF Robustness to Publication BiasAdjusting for Observed Publication Bias
Child Education
College Adult
College Child
Disability Ins.Health Adult
Health Child
Job Training
Top Taxes
Unemp. Ins.
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
Cash Transfers
Housing VouchersSupp. Sec. Inc.
β
MVPF Robustness to Publication BiasAdjusting for 35X Bias in Experimental Economics Studies [Camerer (2016)]
Child Education
College Adult
College Child
Disability Ins.Health Adult
Health Child
Job Training
Top Taxes
Unemp. Ins.
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
Cash Transfers
Housing VouchersSupp. Sec. Inc.
1
2 What We Find: MVPF Estimates and Robustness
What We Do: Our Method and An Example
Outline
3 Relation to Previous Theory
4 Lessons for Future Welfare Analyses
Quantifying the Tradeoffs of Redistribution through the Tax Schedule (Mirrlees 1976)
Spillovers on Children
Paycheck+
Neg Inc Tax
AFDC Term Limits
EITC 1986EITC 1993
Alaska UBI AFDC Generosity
Top Tax 2013
Top Tax 2001
Top Tax 1981
Top Tax 1993
Top Tax 1986
<0.5
1
1.5
>2
MVP
F
0 10 20 30 40 >50KApproximate Income of Beneficiary
β
Prefer 1993 OBRA tax change iffprefer $1.12 to low-income EITC beneficiaries to $1.85 to top earners
In-Kind versus Cash Transfers (βAtkinson-Stiglitzβ Theorem)
Paycheck+
Neg Inc Tax
AFDC Term Limits
EITC 1986EITC 1993
Alaska UBI AFDC GenerosityHCV RCT to Welfare
HCV Chicago Lottery
SNAP IntroSNAP Assist
SNAP Info
Top Tax 2013
Top Tax 2001
Top Tax 1981
Top Tax 1993Top Tax 1986
<0.5
1
1.5
>2
MVP
F
0 10 20 30 40 >50KApproximate Income of Beneficiary
β
Food stamps vs. housing vouchers
MTO
Paycheck+
Neg Inc Tax
AFDC Term Limits
EITC 1986EITC 1993
Alaska UBI AFDC GenerosityHCV RCT to Welfare
HCV Chicago Lottery
MTO
SNAP IntroSNAP Assist
SNAP Info
Top Tax 2013
Top Tax 2001
Top Tax 1981
Top Tax 1993Top Tax 1986
<0.5
1
1.5
>2
MVP
F
0 10 20 30 40 >50KApproximate Income of Beneficiary
β
βTaggingβ Based on Age in MTO
MTO Young
MTO Teens
Paycheck+
Neg Inc Tax
AFDC Term Limits
EITC 1986EITC 1993
Alaska UBI AFDC Generosity
Perry Preschool
Abecedarian
K12 Spend
Soc Sec CollegeOhio PellCC Texas
Florida Grant
WI Scholarship
TN Pell
DC Grant
CUNY Pell
MA Scholarship
TN Hope
CC Mich
Kalamazoo
Georgia HOPECollege Spend
College Tuition
Texas PellFIU GPA Cal Grant GPA
Cal Grant Inc
MC Child 83+
MC Intro
MC Pregnant & Infants
MC Child (State Exp)
Top Tax 2013
Top Tax 2001
Top Tax 1981
Top Tax 1993Top Tax 1986
<0.5
1
1.5
>2
MVP
F
0 10 20 30 40 >50KApproximate Income of Beneficiary
Efficient Redistribution through Investments in Low-Income ChildrenChild Health, College and Education Programs
β
1
2 What We Find: MVPF Estimates and Robustness
What We Do: Our Method and An Example
Outline
3 Relation to Previous Theory
4 Lessons for Future Welfare Analyses
Lesson #1: MVPF vs Benefit/Cost Ratio [Heckman et al., 2012; Zimmerman 2014]Benefit Cost Ratio by Age of Beneficiaries
Child Education
College Adult
College Child
Disability Ins. Health Adult
Health Child
Job Training Unemp. Ins.
<-10
2
4
6
8
>10
0 20 40 60 80Age of Beneficiaries
BCR
, πππ·π·πππ·π·
=50
%
Housing VouchersCash Transfers Supp. Sec. Inc.
Lesson #1: MVPF vs Benefit/Cost Ratio [Heckman et al., 2012; Zimmerman 2014]Tax Revenue Impacts Counted as Social Benefits, not Government Cost Reductions
EITC 1993
Perry Preschool
FIU GPA
MC Child 83+
Job Corps
Top Tax 1981
Top Tax 1993
<-1
0
1
2
3
4
>5
<-1 0 1 2 3 4 >5 βMVPF
π΅π΅πΆπΆπ π =πππ‘π‘π΅π΅π΅π΅π΅π΅ππ π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π΅π‘π‘π π β πππ‘π‘π΅π΅π΅π΅π΅π΅ππ πΆπΆπ‘π‘π π π‘π‘π π πππ΅π΅π‘π‘πππ΅π΅π΅π΅πππππ΅π΅π‘π‘π΅π΅π΅π΅ πΆπΆπ‘π‘π π π‘π‘(1 + πππ·π·πππ·π·)
BCR
, πππ·π·πππ·π·
=50
%
<-1
0
1
2
3
4
>5
MVP
F
Lesson #2: Use MVPF-Framework to Design RCTsMVPF of Welfare/AFDC Reforms
Earnings Supp.Job Search First Mandatory Educ. Mandatory WorkExp.
Mixed Programs Time Limits
CostPost Tax IncomeNet Transfers
β
MVPF estimates contain considerable (model + sampling) uncertainty
The MVPF is a shadow price value to reducing uncertainty
Should govt raise $1 of revenue from known MVPF of 1 to spend on policy j?
Can spend πΊπΊππ to reduce sampling uncertainty before investing
β E.g. reduce sampling uncertainty from PSID -> Admin data estimates of food stamp intro
Solve for πΊπΊππ that makes government indifferent to learning
β E.g. food stamps: government WTP $0.24 for every $1 spent on SNAP to learn census vs PSID estimate before deciding to spend
Lesson #3: Use MVPF-Framework to Quantify Value of Future Research
Direct investment in low-income children have had highest, often infinite, MVPFsβ Policies often pay for themselves
Lower MVPFs for policies targeting adults β Costly to redistribute from rich to poor adultsβ Investment in children has historically been efficient method of redistribution
Lessons for future welfare analysesβ Incidence on the government matters (difference relative to CBA)β Design RCTs where WTP can be measured, not just costsβ High value to identifying long-run earnings effects, especially child spillovers
All code + data is available on github and at www.policyinsights.org
Conclusion
Results + Tutorial at www.policyinsights.org
Appendix
WTP over Program CostBaseline Specification
Back
Cash Transfers
Child Education
College Adult
College Child
Disability Ins.Health Adult
Health Child
Housing Vouchers
Job Training
Supp. Sec. Inc.
Top Taxes
Unemp. Ins.
<-1
0
1
2
3
4
>5
WTP
Ove
r Pro
gram
Cos
t
0 20 40 60 80Age of Beneficiaries
WTP over Program CostLower Bound Specification
Back
<-1
0
1
2
3
4
>5
WTP
Ove
r Pro
gram
Cos
t
0 20 40 60 80Age of Beneficiaries
Child Education
College ChildHealth Child Housing Vouchers
Job Training
Cash Transfers College Adult
Disability Ins.Health Adult
Supp. Sec. Inc.
Top Taxes
Unemp. Ins.
MVPF Robustness to Alternative Discount Rates10% discount rate
Back
Child Education
College Adult
College ChildHealth Child
Top Taxes
Unemp. Ins.
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
Cash Transfers
Job Training
Housing Vouchers
Health AdultDisability Ins.
Supp. Sec. Inc.
Publication Bias
Back
MVPF Robustness to ForecastingNo Projections for All Policies (Restricting to 5+ years Observed)
Back
Cash Transfers
Child Education
College Child
Disability Ins. Health Adult
Health Child
Job Training
Supp. Sec. Inc.
Top Taxes
Unemp. Ins.
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
MVPF Robustness to ForecastingObserved Impacts on Children
Back
Child Education
College Adult
College Child
Health Child
Job Training
<-1
0
1
2
3
4
>5
MVP
F
0 20 40 60 80Age of Beneficiaries
β
MVPF Estimates With and Without Spillovers on Children
BackTheory Back
<-1
0
1
2
3
4
>5
MVP
F
AFDC HousingVouchers
AFDC
HousingVouchersChicago
NegativeIncome
Tax
WIC
βNo Kid Impacts
With Kid Impacts
EITC OBRA 1993 MVPF EstimatesIncorporating Different Estimates of Spillovers on Children
BackTheory Back
<-1
0
1
2
3
4
>5
MVP
F
NoImpact
Bastian andMichelmore
(2018)[Earnings]
Dahl andLochner(2018)
[Test scores]
CFR(2011)
[Test scores]
Maxfield(2013)
[Test scores]
Manoli andTurner (2018)
[College]
Michelmore(2018)
[College]
Bastian andMichelmore
(2018)[College]
β
BCR by Age
Back
Cash Transfers
Child Education
College Adult
College Child
Disability Ins. Health Adult
Health Child
Housing VouchersJob Training
Supp. Sec. Inc.
Unemp. Ins.
<-10
2
4
6
8
>10
BCR
0 20 40 60 80Age of Beneficiaries
Lesson #3: Value of Removing Sampling Uncertainty
Neg Inc Tax
Paycheck+Abecedarian
Adult Pell
AOTC (IS)AOTC (JS)
AOTC (JE)
AOTC (SS)AOTC (SE)
AOTC (SI)HOPE Cred.
HOPE/LLCHTC (IS)HTC (JS)
HTC (JE)HTC (SS)
HTC (SE)
Tuition Deduc (JE)
Tuition Deduc (JS)
Tuition Deduc (SE)
MA Scholarship
Cal Grant Inc
CC Mich
CUNY PellCollege Tuition
TN Pell
Medicare Intro
Medigap Tax
JTPA AdultNSW Women
NSW YouthWork Advance
MTO
SNAP Intro
UI Ben (DD w UR)
UI Dur (DD)
0
.1
.2
.3
>0.4
Max
WTP
for I
nfor
mat
ion
($)
0 20 40 60 80Age of Beneficiaries
$1
-25K
0
50K
100K
WTP
($)
ConservativeWTP
Willingness to Pay for Admission into Florida International UniversityConservative WTP
Individuals WTP at least $1 because enrollment was optional Conservative WTP Estimate
-25K
0
50K
100K
WTP
($)
Willingness to Pay for Admission into Florida International UniversityBaseline WTP
Baseline Estimate: Value WTP using impact on net after-tax income
β’ Valid if no impact on labor effort/disutility and no other impact of education on utility
$1
ConservativeWTP
In the 1980s, states expanded Medicaid to pregnant women and children < 1
A series of papers, beginning with Currie and Gruber (1996), use state variation over time in these expansions
We combine these impacts across papers to form the implied MVPF
Begin with government costs
Medicaid Expansion to Pregnant Women and Infants
Back
Back
Medicaid Expansion to Pregnant Women and Infants: Costs
$3473
-7.5K
-5K
-2.5K
0
2.5K
5K
Gov
ernm
ent C
osts
($)
ProgramCosts
Currie and Gruber (1996) estimate cost to Medicaid of $3,774 per eligible pregnant woman, inclusive of costs from increased utilization
Back
Medicaid Expansion to Pregnant Women and Infants: Costs
$3473$564
-7.5K
-5K
-2.5K
0
2.5K
5K
Gov
ernm
ent C
osts
($)
ProgramCosts
Taxes fromreducedmother
earnings
Dave et al. (2015) estimate a 21.9% reduction in mother labor force participation, leading to a $564 reduction in contemporaneous tax revenue
Back
Medicaid Expansion to Pregnant Women and Infants: Costs
$3473$564
$-868
-7.5K
-5K
-2.5K
0
2.5K
5K
Gov
ernm
ent C
osts
($)
ProgramCosts
Taxes fromreducedmother
earnings
Govt.spending on
uncompensatedcare
25% ($868) is recouped via uncomp. care (e.g. DSH payments)β’ ~50% were prev. unins. (Cutler & Gruber 1996)β’ ~50% of low-income unins. births paid by govt
(Gol et al., 1987)
Back
Medicaid Expansion to Pregnant Women and Infants: Costs
$3473$564
$-868
-7.5K
-5K
-2.5K
0
2.5K
5K
Gov
ernm
ent C
osts
($)
ProgramCosts
Taxes fromreducedmother
earnings
Govt.spending on
uncompensatedcare
Implies initial cost of $3,169
Back
Medicaid Expansion to Pregnant Women and Infants: Costs
$3473$564
$-868$-530
-7.5K
-5K
-2.5K
0
2.5K
5K
Gov
ernm
ent C
osts
($)
ProgramCosts
Taxes fromreducedmother
earnings
Govt.spending on
uncompensatedcare
Age 19-65healthcosts
$239 savings from lower future Medicaid costs from improved health and reductions in chronic conditions at π΅π΅ = 3% [Miller and Wherry, 2018]
Back
Medicaid Expansion to Pregnant Women and Infants: Costs
$3473$564
$371$-868
$-530
-7.5K
-5K
-2.5K
0
2.5K
5K
Gov
ernm
ent C
osts
($)
ProgramCosts
Taxes fromreducedmother
earnings
Govt.spending on
uncompensatedcare
Age 19-65healthcosts
Govt.collegecosts
Back
Medicaid Expansion to Pregnant Women and Infants: Costs
$3473$564
$371$-868
$-530
$-10024-7.5K
-5K
-2.5K
0
2.5K
5K
Gov
ernm
ent C
osts
($)
ProgramCosts
Taxes fromreducedmother
earnings
Govt.spending on
uncompensatedcare
Age 19-65healthcosts
Govt.collegecosts
Taxesfrom future
earnings
Increased earnings of 0.116% for every 1pp increase in eligibility[Miller and Wherry, 2018]
Tax revenue increase over 14 years of $3,836 at π΅π΅ = 3%, ππ = 18.9%
Back
Future tax revenue pays for initial cost
Medicaid Expansion to Pregnant Women and Infants: Costs
$3473$564
$371$-868
$-530
$-10024 $-7014-7.5K
-5K
-2.5K
0
2.5K
5K
Gov
ernm
ent C
osts
($)
ProgramCosts
Taxes fromreducedmother
earnings
Govt.spending on
uncompensatedcare
Age 19-65healthcosts
Govt.collegecosts
Taxesfrom future
earnings
Net Cost ToGovernment
0
Cum
ulat
ive
Gov
t Cos
t
0 10 20 30 40 50 60 70Age
Medicaid Expansion to Pregnant Women and Infants: Costs Recouped by Age 34
-10K
-5K
$5K
Note: Costs discounted to age 0 using 3% interest rate
Program pays for itself by age 34.
Observe outcomes through age 37What about future ages?
Original $3774 cost returns $6640 to the government over the personβs lifetime
Upfront net cost of $3,366
Back
Medicaid Expansion to Pregnant Women and Infants: Willingness to Pay
0
15K
30K
45K
WTP
($)
Back
Medicaid Expansion to Pregnant Women and Infants: Willingness to Pay
$1.7K
0
15K
30K
45K
WTP
($)
PrivateInsuranceCrowd Out
Recall: 50% of the $3,774 cost crowds out private spending on insurance [Cutler and Gruber (1996, QJE)]
βMechanicalβ transfer provides conservative WTP estimate
Back
Medicaid Expansion to Pregnant Women and Infants: Willingness to Pay
$1.7K$2.8K
0
15K
30K
45K
WTP
($)
PrivateInsuranceCrowd Out
VSL WTP
Medicaid expansion causes 2.822 fewer deaths per 1000 births [Currie and Cutler (1996, JPE)]
β’ $2.8K at VSL of $1M (VSL can be child or parent WTP)
Back
Medicaid Expansion to Pregnant Women and Infants: Willingness to Pay
$1.7K$2.8K
$-0.1K0
15K
30K
45K
WTP
($)
PrivateInsuranceCrowd Out
VSL WTP PrivateCollegeCosts
Back
Medicaid Expansion to Pregnant Women and Infants: Willingness to Pay
$1.7K$2.8K
$16.8K
$-0.1K0
15K
30K
45K
WTP
($)
PrivateInsuranceCrowd Out
VSL WTP PrivateCollegeCosts
Age 23-36after-taxearnings
Miller and Wherry (2018) estimate 11.6% impact on earnings over 14 yrs
β’ WTP if no change in effort
Back
Medicaid Expansion to Pregnant Women and Infants: Willingness to Pay
$1.7K$2.8K
$16.8K
$26.2K
$-0.1K0
15K
30K
45K
WTP
($)
PrivateInsuranceCrowd Out
VSL WTP PrivateCollegeCosts
Age 23-36after-taxearnings
Age 37+after-taxearnings
Additional $26.2K after age 36
Back
Medicaid Expansion to Pregnant Women and Infants: Willingness to Pay
$1.7K$2.8K
$16.8K
$26.2K $47.4K
$-0.1K0
15K
30K
45K
WTP
($)
PrivateInsuranceCrowd Out
VSL WTP PrivateCollegeCosts
Age 23-36after-taxearnings
Age 37+after-taxearnings
BaselineWTP
Back