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Motivation Model Calibration Results
Welfare effects of fiscal policy in reforming the pension system
Krzysztof Makarski
(with Oliwia Komada and Joanna Tyrowicz )
FAME|GRAPE, NBP, University of Warsaw & Warsaw School of Economics
6th NBP Summer Workshop, 2017
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Motivation Model Calibration Results
Motivation
Longevity ⇑
Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not
reformed (Feldstein: deficit +1.4pp of GDP share )
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Motivation Model Calibration Results
Motivation
Longevity ⇑
Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not
reformed (Feldstein: deficit +1.4pp of GDP share ) ⇒ reform needed
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Motivation Model Calibration Results
Motivation
Longevity ⇑
Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not
reformed (Feldstein: deficit +1.4pp of GDP share ) ⇒ reform needed
Defined Contribution (DC) immune to longevity risk (fiscal side)
(Partial) funding fosters accumulation of capital
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Motivation Model Calibration Results
Motivation
Longevity ⇑
Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not
reformed (Feldstein: deficit +1.4pp of GDP share ) ⇒ reform needed
Defined Contribution (DC) immune to longevity risk (fiscal side)
(Partial) funding fosters accumulation of capital
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Motivation Model Calibration Results
Motivation
Longevity ⇑
Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not
reformed (Feldstein: deficit +1.4pp of GDP share ) ⇒ reform needed
Defined Contribution (DC) immune to longevity risk (fiscal side)
(Partial) funding fosters accumulation of capital
Literature
Reform : PAYG DB =⇒ (partially) funded DC
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Motivation Model Calibration Results
Motivation
Longevity ⇑
Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not
reformed (Feldstein: deficit +1.4pp of GDP share ) ⇒ reform needed
Defined Contribution (DC) immune to longevity risk (fiscal side)
(Partial) funding fosters accumulation of capital
Literature
Reform : PAYG DB =⇒ (partially) funded DC
shift of contributions to funded pillar ⇒ short run financing?
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Motivation Model Calibration Results
Motivation
in deterministic setting horse-race between
efficiency
fiscal cost for cohorts paying for the reform
efficiency prevails - reform welfare improving
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Motivation Model Calibration Results
Motivation
in deterministic setting horse-race between
efficiency
fiscal cost for cohorts paying for the reform
efficiency prevails - reform welfare improving
in stochastic setting: loss of insurance
Nishiyama & Smetters (2007, QJE) and subsequent papers: negative welfare
effects of the reform
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Motivation Model Calibration Results
Motivation
in deterministic setting horse-race between
efficiency
fiscal cost for cohorts paying for the reform
efficiency prevails - reform welfare improving
in stochastic setting: loss of insurance
Nishiyama & Smetters (2007, QJE) and subsequent papers: negative welfare
effects of the reform
But:
fiscal policy counteracts / reinforces between and within cohort redistribution
affecting also economic efficiency (scope of distortions)
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Motivation Model Calibration Results
Motivation
in deterministic setting horse-race between
efficiency
fiscal cost for cohorts paying for the reform
efficiency prevails - reform welfare improving
in stochastic setting: loss of insurance
Nishiyama & Smetters (2007, QJE) and subsequent papers: negative welfare
effects of the reform
But:
fiscal policy counteracts / reinforces between and within cohort redistribution
affecting also economic efficiency (scope of distortions)
Is Nishiyama & Smetters (2007) result universal?
compare variants of fiscal closures (accompanying the reform)
introduce new fiscal closures
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Motivation Model Calibration Results
Literature differs in terms of fiscal closures
Pension system parameters
contribution rates (20 papers)
e.g. Kumru & Thanopoulos (2011, JPE), Bruce & Turnovsky (2013, JPE)
replacement rate (8 papers)
e.g. Boersch-Supan et al. (2014, AER), Kitao (2014, RED)
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Motivation Model Calibration Results
Literature differs in terms of fiscal closures
Pension system parameters
contribution rates (20 papers)
e.g. Kumru & Thanopoulos (2011, JPE), Bruce & Turnovsky (2013, JPE)
replacement rate (8 papers)
e.g. Boersch-Supan et al. (2014, AER), Kitao (2014, RED)
Fiscal closure
labor tax (3 papers)
e.g. Bouzahzah et al. (2002, JEDC)
consumption tax (10 papers)
e.g. Nishiyama & Smetters (2007, QJE), Diaz-Gimenez & Diaz-Saavedra (2009,
RED)
debt (5 papers )
e.g. Song, et al. (2015, AEJ) Lindbeck & Persson (2003, JEL)
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Motivation Model Calibration Results
Literature differs in terms of fiscal closures
Pension system parameters
contribution rates (20 papers)
e.g. Kumru & Thanopoulos (2011, JPE), Bruce & Turnovsky (2013, JPE)
replacement rate (8 papers)
e.g. Boersch-Supan et al. (2014, AER), Kitao (2014, RED)
Fiscal closure
labor tax (3 papers)
e.g. Bouzahzah et al. (2002, JEDC)
consumption tax (10 papers)
e.g. Nishiyama & Smetters (2007, QJE), Diaz-Gimenez & Diaz-Saavedra (2009,
RED)
debt (5 papers )
e.g. Song, et al. (2015, AEJ) Lindbeck & Persson (2003, JEL)
⇒ Studies do not compare across fiscal closures (except for within pension system)
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Motivation Model Calibration Results
What we do
Challenge the view that in stochastic framework pension system privatization
is welfare deteriorating
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Motivation Model Calibration Results
What we do
Challenge the view that in stochastic framework pension system privatization
is welfare deteriorating
Provide a systematic overview of the interaction between the pension system
reform and fiscal closure
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Motivation Model Calibration Results
What we do
Challenge the view that in stochastic framework pension system privatization
is welfare deteriorating
Provide a systematic overview of the interaction between the pension system
reform and fiscal closure
Consider new ways of financing the pensions system reform
tax on capital income
labor tax progression
public spending
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Motivation Model Calibration Results
Preview of the results
Nishiyama & Smetters (2007) result is NOT universal ⇔ fiscal closure matters
Depending on the fiscal closure in stochastic framework:
welfare effect of the same reform can be positive or negative
with political support or not
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Motivation Model Calibration Results
Preview of the results
Nishiyama & Smetters (2007) result is NOT universal ⇔ fiscal closure matters
Depending on the fiscal closure in stochastic framework:
welfare effect of the same reform can be positive or negative
with political support or not
Welfare gains and political support only sometimes overlap
there are many combinations of fiscal policy that make pension system reform
welfare improving
public debt often “buys” political support for the reform (both improving and
deteriorating)
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Motivation Model Calibration Results
Contents
1 Motivation
2 Model
3 Calibration
4 Results
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Motivation Model Calibration Results
Consumers
live for j = 1, 2, ..., 16 periods
stochastic survival πj,t < 1
choose labor supply endogenously until retirement age ¯j
labor income wj,tlj,t = ωj,twtlj,t
where ωj,t = eηj,t
and ηj,t follows AR(1) process approximated by 3 stages
Markov chain
state of the agent sj,t = (aj,t, ηj,t, fj,t)
instantaneous utility:
u(cj,t, 1 − lj,t, gt) = log(cj,t) + φl log(1 − lj,t) + φg log(gt)
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Motivation Model Calibration Results
Consumer: Recursive Problem
Vj,t(sj,t) = max
cj,t,lj,t,aj+1,t+1
u(cj,t, lj,t, gt) + δ
πj+1,t+1
πj,t
E Vj+1,t+1(sj+1,t+1) | sj,t
subject to
aj+1,t+1 + (1 + τc,t)cj,t + Υt =(1 − τl,t)(1 − τt)wj,tlj,t + bj,t
+ (1 + (1 − τk,t)rt) aj,t + Γj,t (1)
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Motivation Model Calibration Results
Producers
Perfectly competitive representative firm with Cobb-Douglas production function
Yt = Kα
t (ztLt)1−α
Lt =
¯j
j=1 Nj,t St
ωj,t(sj,t)lj,t(sj,t)dX(sj,t)
Profit maximization implies
wt = (1 − α)Kα
t zt(ztLt)−α
rt = αKα−1
(ztLt)1−α
− d
where d is the capital depreciation rate
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Motivation Model Calibration Results
Government
Collects taxes
Tt = τl,t(1 − τt)wtLt + τk,trtAt + τc,tCt + Υt
J
j=1
Nj,t
Finances spending on public goods and service Gt = gt
J
j=1 Nj,t,
Balances pension system subsidyt
Services debt ∆Dt = (1 + rt)Dt−1 − Dt
Tt = Gt + subsidyt + ∆Dt
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Motivation Model Calibration Results
Pension system- baseline scenario PAYG DB
equal benefits for everybody within a cohort (provides insurance)
bj,t =
ρ · wavg,t, for j = ¯j
(1 + rI
t )bj−1,t−1, for j > ¯j
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Motivation Model Calibration Results
Pension system- baseline scenario PAYG DB
equal benefits for everybody within a cohort (provides insurance)
bj,t =
ρ · wavg,t, for j = ¯j
(1 + rI
t )bj−1,t−1, for j > ¯j
i.e. pensions are indexed payroll growth rate 1 + rI
t = wtLt/wt−1Lt−1
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Motivation Model Calibration Results
Pension system- baseline scenario PAYG DB
equal benefits for everybody within a cohort (provides insurance)
bj,t =
ρ · wavg,t, for j = ¯j
(1 + rI
t )bj−1,t−1, for j > ¯j
i.e. pensions are indexed payroll growth rate 1 + rI
t = wtLt/wt−1Lt−1
longevity ↑ creates deficit (no balancing mechanism in a system)
subsidyt =
J
j= ¯J
Nj,tbj,t − τtwtLt,
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Motivation Model Calibration Results
Pension System - reform scenario partially funded DC
contributions go into PAYG and funded pillar: τt = τI
t + τII
t
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Motivation Model Calibration Results
Pension System - reform scenario partially funded DC
contributions go into PAYG and funded pillar: τt = τI
t + τII
t
individual pension accounts fj,t = {fI
j,t, fII
j,t} ⇒ no insurance
fI
j,t = (1 + rI
t )fI
j−1,t−1/(πj,t/πj−1,t−1) + τI
t wj,tlj,t
fII
j,t = (1 + rt)fII
j−1,t−1/(πj,t/πj−1,t−1) + τII
t wj,tlj,t
benefits are ’actuarially fair’, bj,t = bI
j,t + bII
j,t, where
bI
j,t =
fI
j,t/life expectancyt, for j = ¯j
(1 + rI
t )bI
j−1,t−1, for j > ¯j
bII
j,t =
fII
j,t/life expectancyt, for j = ¯j
(1 + rt)bII
j−1,t−1, for j > ¯j
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Motivation Model Calibration Results
Pension System - reform scenario partially funded DC
contributions go into PAYG and funded pillar: τt = τI
t + τII
t
individual pension accounts fj,t = {fI
j,t, fII
j,t} ⇒ no insurance
fI
j,t = (1 + rI
t )fI
j−1,t−1/(πj,t/πj−1,t−1) + τI
t wj,tlj,t
fII
j,t = (1 + rt)fII
j−1,t−1/(πj,t/πj−1,t−1) + τII
t wj,tlj,t
benefits are ’actuarially fair’, bj,t = bI
j,t + bII
j,t, where
bI
j,t =
fI
j,t/life expectancyt, for j = ¯j
(1 + rI
t )bI
j−1,t−1, for j > ¯j
bII
j,t =
fII
j,t/life expectancyt, for j = ¯j
(1 + rt)bII
j−1,t−1, for j > ¯j
Introducing such reform generates a deficit in the pension system ⇒ need for
fiscal closure.
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Motivation Model Calibration Results
Fiscal closures within pension system
To keep pension system balanced government may adjust:
contribution rate τ
benefits bj (as a tax on benefits)
J
j= ¯Jt
Nj,t(1 − τb,t)bj,t = τt ¯wtLt and subsityt = 0
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Motivation Model Calibration Results
Fiscal closures (outside pension system, subsidyt = 0 )
Tt = τl,t(1 − τt)wtLt + τk,trtAt + τc,tCt + Υt
J
j=1
Nj,t
Tt = gt
J
j=1
Nj,t + subsidyt + (1 + rt)Dt−1 − Dt
capital tax, τk,t
consumption tax, τc,t
public spending closure, gt
labor tax, τl,t
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Motivation Model Calibration Results
Fiscal closures (outside pension system, subsidyt = 0 )
Tt = τl,t(1 − τt)wtLt + τk,trtAt + τc,tCt + Υt
J
j=1
Nj,t
Tt = gt
J
j=1
Nj,t + subsidyt + (1 + rt)Dt−1 − Dt
capital tax, τk,t
consumption tax, τc,t
public spending closure, gt
labor tax, τl,t
labor tax progressivity, (τH
l,t, τL
l,t)
τH
l,t = 2τL
l,t
τH
l,t on earnings above 150% of average labor income
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Motivation Model Calibration Results
Fiscal closures (outside pension system, subsidyt = 0)
smoothing tax adjustments with public debt
part of the costs of the reform shifted to the future generations
fiscal rule ∀tax ∈ l, c, k
τtax,t = (1 − )τfinal
tax + τtax,t−1 + D
D
Y t
−
D
Y
final
in the final steady state debt level converges to the same levels (= initial steady
state)
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Motivation Model Calibration Results
Fiscal closures – summary
Two closures within pension system
contributions ⇒ working cohorts ⇒ labor supply
pensions ⇒ on retirees ⇒ consumption
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Motivation Model Calibration Results
Fiscal closures – summary
Two closures within pension system
contributions ⇒ working cohorts ⇒ labor supply
pensions ⇒ on retirees ⇒ consumption
Eight closures outside pension system
public spending (enters utility)
consumption tax (+ debt) ⇒ all cohorts ⇒ consumption
labor tax (+ debt) ⇒ working cohorts ⇒ labor supply
progressive labor tax ⇒ working cohorts with favorable shocks ⇒ labor supply
capital tax (+ debt) ⇒ cohorts with more wealth ⇒ savings & investment
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Motivation Model Calibration Results
Fiscal closures – summary
Two closures within pension system
contributions ⇒ working cohorts ⇒ labor supply
pensions ⇒ on retirees ⇒ consumption
Eight closures outside pension system
public spending (enters utility)
consumption tax (+ debt) ⇒ all cohorts ⇒ consumption
labor tax (+ debt) ⇒ working cohorts ⇒ labor supply
progressive labor tax ⇒ working cohorts with favorable shocks ⇒ labor supply
capital tax (+ debt) ⇒ cohorts with more wealth ⇒ savings & investment
In total: ten closures (and a 100 possible combinations of fiscal policy in
baseline and reform)
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Motivation Model Calibration Results
Model solving
Gauss-Seidel iterative algorithm
Guess an initial value for k = K/(zL) and compute prices
Solve individual problem and aggregate it to find new K and L , thus k
iterate until convergence
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Motivation Model Calibration Results
Model solving
Gauss-Seidel iterative algorithm
Guess an initial value for k = K/(zL) and compute prices
Solve individual problem and aggregate it to find new K and L , thus k
iterate until convergence
Consumer problem (backward policy function iterations)
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Motivation Model Calibration Results
Model solving
Gauss-Seidel iterative algorithm
Guess an initial value for k = K/(zL) and compute prices
Solve individual problem and aggregate it to find new K and L , thus k
iterate until convergence
Consumer problem (backward policy function iterations)
implicit tax to reduce state space, Butler (2002)
policy function iterations with picewise linear interpolation
within period problem solved with Newton-Raphson
given initial distribution at age j = 1, transition matrix S(ηj,t|ηj−1,t−1) and the
policy functions compute the distribution in any successive age j.
aggregation done with Gaussian quadrature
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Motivation Model Calibration Results
Model solving
Gauss-Seidel iterative algorithm
Guess an initial value for k = K/(zL) and compute prices
Solve individual problem and aggregate it to find new K and L , thus k
iterate until convergence
Consumer problem (backward policy function iterations)
implicit tax to reduce state space, Butler (2002)
policy function iterations with picewise linear interpolation
within period problem solved with Newton-Raphson
given initial distribution at age j = 1, transition matrix S(ηj,t|ηj−1,t−1) and the
policy functions compute the distribution in any successive age j.
aggregation done with Gaussian quadrature
Transition path, goes between the initial and final steady state
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Motivation Model Calibration Results
Contents
1 Motivation
2 Model
3 Calibration
4 Results
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Motivation Model Calibration Results
Calibration to replicate 2015 US economy
Preferences
Preference for leisure φl matches average hours 33%
Preference for public consumption φg optimal p.c value in the initial steady
state
Discounting rate δ matches interest rate 4%
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Motivation Model Calibration Results
Calibration to replicate 2015 US economy
Preferences
Preference for leisure φl matches average hours 33%
Preference for public consumption φg optimal p.c value in the initial steady
state
Discounting rate δ matches interest rate 4%
Idiosyncratic productivity shock based on Kruger and Ludwig (2013):
Persistence η = 0.95
Variance ση = 0.375
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Motivation Model Calibration Results
Calibration to replicate 2015 US economy
Preferences
Preference for leisure φl matches average hours 33%
Preference for public consumption φg optimal p.c value in the initial steady
state
Discounting rate δ matches interest rate 4%
Idiosyncratic productivity shock based on Kruger and Ludwig (2013):
Persistence η = 0.95
Variance ση = 0.375
Pension system
Replacement rate ρ matches benefits as % of GDP 5.2%
Contribution rate balances pension system
Retirement age equal 65 (¯j = 9)
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Motivation Model Calibration Results
Calibration to replicate 2015 US economy
Preferences
Preference for leisure φl matches average hours 33%
Preference for public consumption φg optimal p.c value in the initial steady
state
Discounting rate δ matches interest rate 4%
Idiosyncratic productivity shock based on Kruger and Ludwig (2013):
Persistence η = 0.95
Variance ση = 0.375
Pension system
Replacement rate ρ matches benefits as % of GDP 5.2%
Contribution rate balances pension system
Retirement age equal 65 (¯j = 9)
Taxes {τc, τl, τk} match revenue as % of GDP {9.2%, 3.8%, 3.6%}
Depreciation rate d matches investment rate of 25%
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Motivation Model Calibration Results
Calibration to replicate 2015 US economy
Demography is based on the projection by The United Nations.
number of 20-year-olds mortality rates
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Motivation Model Calibration Results
Reform: gradually replace PAYG DB ...
... with a partially funded define contribution (DC)
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Motivation Model Calibration Results
Profile of average consumption for τc closure
other closures
in line with Gourinchas & Parker (2002, Econometrica)
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Motivation Model Calibration Results
Profile of average labor for τc closure
other closures
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Motivation Model Calibration Results
Profile of average savings for τc closure
other closures
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Motivation Model Calibration Results
Contents
1 Motivation
2 Model
3 Calibration
4 Results
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Motivation Model Calibration Results
Baseline: PAYG DB with aging and thus deficit
Adjustment in pension parameters
contribution rate ↑ from 7.8% to 9%
replacement rate ↓ from 21.1% to 17.8%
Adjustment in fiscal parameters
pension system deficit ↑ by 1pp of GDP
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Motivation Model Calibration Results
Reform: partially funded DC
Adjustment in fiscal parameters
pension system deficit ↑ from 0% to 2% of GDP (and eventually back to 0%)
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Motivation Model Calibration Results
Capital and labor
Capital Labor
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Motivation Model Calibration Results
Welfare analysis - like Nishiyama & Smetters (2007)
What happens within each experiment?
1 Run the no policy reform scenario ⇒ baseline
2 Run the policy reform scenario ⇒ reform
3 For each cohort compare utility, compensate the losers from the winners
4 If net effect positive ⇒ reform efficient
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Motivation Model Calibration Results
Compare two different tax closures, τc and τk
τk has larger gain towards the end, → positive overall welfare effect
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Motivation Model Calibration Results
Welfare effect - final steady state
Fiscal
Baseline
closure τ τb τc τl τk prog. dτc dτl dτk gt
Reform
τ 0.70
τb 0.53
τc 0.39
τl 0.24
τk 0.93
prog. 0.76
dτc 0.39
dτl 0.24
dτk 0.93
gt 0.08
% of consumption in reform scenario which you are willing to give up to ensure that
the reform take place
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Motivation Model Calibration Results
Welfare effect - final steady state
Fiscal
Baseline
closure τ τb τc τl τk prog. dτc dτl dτk gt
Reform
τ 0.70 0.53 0.52 0.52 0.44 1.02 0.52 0.52 0.44 0.55
τb 0.70 0.53 0.52 0.52 0.44 1.02 0.52 0.52 0.44 0.55
τc 0.63 0.48 0.39 0.39 0.41 0.89 0.39 0.39 0.41 0.42
τl 0.55 0.42 0.25 0.24 0.31 0.75 0.25 0.24 0.31 0.27
τk 1.07 0.84 1.00 1.00 0.93 1.50 1.00 1.00 0.93 1.03
prog. 0.51 0.35 0.26 0.26 0.34 0.76 0.26 0.26 0.34 1.04
dτc 0.63 0.48 0.39 0.39 0.41 0.89 0.39 0.39 0.41 0.42
dτl 0.55 0.42 0.25 0.24 0.31 0.75 0.25 0.24 0.41 0.27
dτk 1.07 0.84 1.00 1.00 0.93 1.50 1.00 1.00 0.93 1.03
gt 0.48 0.38 0.05 0.04 0.12 0.55 0.05 0.04 0.12 0.08
% of consumption in reform scenario which you are willing to give up to ensure that
the reform take place
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Motivation Model Calibration Results
Welfare effect - transition
% of consumption in reform scenario which you are willing to give up to ensure that
the reform take place
Fiscal
Baseline
closure τ τb τc τl τk prog. dτc dτl dτk gt
Reform
τ 0.07
τb 0.11
τc -0.06
τl -0.37
τk 0.55
prog. 0.13
dτc -0.09
dτl -0.37
dτk 0.54
gt -0.33
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Motivation Model Calibration Results
Welfare effect - transition
% of consumption in reform scenario which you are willing to give up to ensure that
the reform take place
Fiscal
Baseline
closure τ τb τc τl τk prog. dτc dτl dτk gt
Reform
τ 0.07 0.13 -0.04 -0.03 -0.15 0.53 -0.05 -0.02 -0.12 0.02
τb 0.06 0.11 -0.06 -0.05 -0.17 0.51 -0.06 -0.04 -0.14 0.00
τc 0.09 0.15 -0.06 -0.05 -0.16 0.51 -0.06 -0.05 -0.14 0.00
τl -0.12 -0.04 -0.38 -0.37 -0.43 0.18 -0.38 -0.37 -0.46 -0.32
τk 0.57 0.48 0.64 0.64 0.55 1.17 0.63 0.64 0.56 0.68
prog. -0.23 -0.18 -0.43 -0.42 -0.48 0.13 -0.43 -0.42 -0.43 -0.19
dτc 0.07 0.13 -0.08 -0.07 -0.18 0.49 -0.09 -0.07 -0.16 -0.02
dτl -0.11 -0.04 -0.38 -0.37 -0.43 0.19 -0.38 -0.37 -0.45 -0.32
dτk 0.56 0.47 0.63 0.63 0.54 1.15 0.63 0.64 0.54 0.65
gt -0.04 0.07 -0.39 -0.38 -0.49 0.19 -0.40 -0.38 -0.40 -0.33
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Motivation Model Calibration Results
Welfare effect - transition
% of consumption in reform scenario which you are willing to give up to ensure that
the reform take place
Fiscal
Baseline
closure τ τb τc τl τk prog. dτc dτl dτk gt
Reform
τ 0.07 0.13 -0.04 -0.03 -0.15 0.53 -0.05 -0.02 -0.12 0.02
τb 0.06 0.11 -0.06 -0.05 -0.17 0.51 -0.06 -0.04 -0.14 0.00
τc 0.09 0.15 -0.06 -0.05 -0.16 0.51 -0.06 -0.05 -0.14 0.00
τl -0.12 -0.04 -0.38 -0.37 -0.43 0.18 -0.38 -0.37 -0.46 -0.32
τk 0.57 0.48 0.64 0.64 0.55 1.17 0.63 0.64 0.56 0.68
prog. -0.23 -0.18 -0.43 -0.42 -0.48 0.13 -0.43 -0.42 -0.43 -0.19
dτc 0.07 0.13 -0.08 -0.07 -0.18 0.49 -0.09 -0.07 -0.16 -0.02
dτl -0.11 -0.04 -0.38 -0.37 -0.43 0.19 -0.38 -0.37 -0.45 -0.32
dτk 0.56 0.47 0.63 0.63 0.54 1.15 0.63 0.64 0.54 0.65
gt -0.04 0.07 -0.39 -0.38 -0.49 0.19 -0.40 -0.38 -0.40 -0.33
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Motivation Model Calibration Results
Welfare effects: why public debt can help gaining political support?
It helps pensioners (who gain anyway)
Young always loose (→ are againsr the reform)
With debt we sway some working who remain in the old system → majority
34 / 46
Motivation Model Calibration Results
Welfare effect – τc
Why debt can help gain political support
35 / 46
Motivation Model Calibration Results
Welfare effect - transition - τc & debt + τc
Why debt can help gain political support
36 / 46
Motivation Model Calibration Results
Welfare effect - transition - τc & debt + τc
Why debt can help gain political support
37 / 46
Motivation Model Calibration Results
Political support
% of consumption in reform scenario which you are willing to give up to ensure that
the reform take place
lime area denotes political support, green font denotes welfare gain
Fiscal
Baseline
closure τ τb τc τl τk prog. dτc dτl dτk gt
Reform
τ 0.07 0.13 -0.04 -0.03 -0.15 0.53 -0.05 -0.02 -0.12 0.02
τb 0.06 0.11 -0.06 -0.05 -0.17 0.51 -0.06 -0.04 -0.14 0.00
τc 0.09 0.15 -0.06 -0.05 -0.16 0.51 -0.06 -0.05 -0.14 0.00
τl 0.12 -0.04 -0.38 -0.37 -0.43 0.18 -0.38 -0.37 -0.46 -0.32
τk 0.57 0.48 0.64 0.64 0.55 1.17 0.63 0.64 0.56 0.68
prog. -0.23 -0.18 -0.43 -0.42 -0.48 0.13 -0.43 -0.42 -0.43 -0.19
dτc 0.07 0.13 -0.08 -0.07 -0.18 0.49 -0.09 -0.07 -0.16 -0.02
dτl -0.11 -0.04 -0.38 -0.37 -0.43 0.19 -0.38 -0.37 -0.45 -0.32
dτk 0.56 0.47 0.63 0.63 0.54 1.15 0.63 0.64 0.54 0.65
gt -0.04 0.07 -0.39 -0.38 -0.49 0.19 -0.40 -0.38 -0.40 -0.33
38 / 46
Motivation Model Calibration Results
Nishiyama & Smetters, 2007: stochastic vs deterministic?
Compare the effects of pension system reform in a stochastic and deterministic
framework
39 / 46
Motivation Model Calibration Results
Nishiyama & Smetters, 2007: stochastic vs deterministic?
Compare the effects of pension system reform in a stochastic and deterministic
framework
large role for the insurance motive per se
but there are closures with positive outcomes despite stochastic setup
39 / 46
Motivation Model Calibration Results
Nishiyama & Smetters, 2007: stochastic vs deterministic?
τc
40 / 46
Motivation Model Calibration Results
Nishiyama & Smetters, 2007: stochastic vs deterministic?
τc τ
40 / 46
Motivation Model Calibration Results
Conclusions
Social security reform requires fiscal adjustment
Fiscal closures redistribute, therefore matter a lot (unnoticed in earlier
literature)
Insurance motive large but not decisive for evaluation of (partial)
privatization
Preferred policy options
Debt closures: yield some welfare gains and obtain political support
Tax on capital income
Good but never favored policy options
Adjustment in pensions
Labor tax progression (puzzling)
41 / 46
Motivation Model Calibration Results
Questions or suggestions?
Thank you!
w: grape.org.pl
t: grape org
f: grape.org
e: kmakarski@grape.org.pl
42 / 46
GO BACK
τ τb gt
τl progression τk
debtτl debtτc debtτk
43 / 46
GO BACK
τ τb gt
τl progression τk
debtτl debtτc debtτk
44 / 46
GO BACK
τ τb gt
τl progression τk
debtτl debtτc debtτk
45 / 46
GO BACK
τ τb gt
τl τc τk
debtτl debtτc progression
46 / 46

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Welfare effects of fiscal policy in reforming the pension system

  • 1. Motivation Model Calibration Results Welfare effects of fiscal policy in reforming the pension system Krzysztof Makarski (with Oliwia Komada and Joanna Tyrowicz ) FAME|GRAPE, NBP, University of Warsaw & Warsaw School of Economics 6th NBP Summer Workshop, 2017 1 / 46
  • 2. Motivation Model Calibration Results Motivation Longevity ⇑ Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not reformed (Feldstein: deficit +1.4pp of GDP share ) 2 / 46
  • 3. Motivation Model Calibration Results Motivation Longevity ⇑ Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not reformed (Feldstein: deficit +1.4pp of GDP share ) ⇒ reform needed 2 / 46
  • 4. Motivation Model Calibration Results Motivation Longevity ⇑ Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not reformed (Feldstein: deficit +1.4pp of GDP share ) ⇒ reform needed Defined Contribution (DC) immune to longevity risk (fiscal side) (Partial) funding fosters accumulation of capital 2 / 46
  • 5. Motivation Model Calibration Results Motivation Longevity ⇑ Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not reformed (Feldstein: deficit +1.4pp of GDP share ) ⇒ reform needed Defined Contribution (DC) immune to longevity risk (fiscal side) (Partial) funding fosters accumulation of capital 2 / 46
  • 6. Motivation Model Calibration Results Motivation Longevity ⇑ Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not reformed (Feldstein: deficit +1.4pp of GDP share ) ⇒ reform needed Defined Contribution (DC) immune to longevity risk (fiscal side) (Partial) funding fosters accumulation of capital Literature Reform : PAYG DB =⇒ (partially) funded DC 2 / 46
  • 7. Motivation Model Calibration Results Motivation Longevity ⇑ Pay-As-You-Go Defined Benefits (PAYG DB) ⇒ fiscally unstable if not reformed (Feldstein: deficit +1.4pp of GDP share ) ⇒ reform needed Defined Contribution (DC) immune to longevity risk (fiscal side) (Partial) funding fosters accumulation of capital Literature Reform : PAYG DB =⇒ (partially) funded DC shift of contributions to funded pillar ⇒ short run financing? 2 / 46
  • 8. Motivation Model Calibration Results Motivation in deterministic setting horse-race between efficiency fiscal cost for cohorts paying for the reform efficiency prevails - reform welfare improving 3 / 46
  • 9. Motivation Model Calibration Results Motivation in deterministic setting horse-race between efficiency fiscal cost for cohorts paying for the reform efficiency prevails - reform welfare improving in stochastic setting: loss of insurance Nishiyama & Smetters (2007, QJE) and subsequent papers: negative welfare effects of the reform 3 / 46
  • 10. Motivation Model Calibration Results Motivation in deterministic setting horse-race between efficiency fiscal cost for cohorts paying for the reform efficiency prevails - reform welfare improving in stochastic setting: loss of insurance Nishiyama & Smetters (2007, QJE) and subsequent papers: negative welfare effects of the reform But: fiscal policy counteracts / reinforces between and within cohort redistribution affecting also economic efficiency (scope of distortions) 3 / 46
  • 11. Motivation Model Calibration Results Motivation in deterministic setting horse-race between efficiency fiscal cost for cohorts paying for the reform efficiency prevails - reform welfare improving in stochastic setting: loss of insurance Nishiyama & Smetters (2007, QJE) and subsequent papers: negative welfare effects of the reform But: fiscal policy counteracts / reinforces between and within cohort redistribution affecting also economic efficiency (scope of distortions) Is Nishiyama & Smetters (2007) result universal? compare variants of fiscal closures (accompanying the reform) introduce new fiscal closures 3 / 46
  • 12. Motivation Model Calibration Results Literature differs in terms of fiscal closures Pension system parameters contribution rates (20 papers) e.g. Kumru & Thanopoulos (2011, JPE), Bruce & Turnovsky (2013, JPE) replacement rate (8 papers) e.g. Boersch-Supan et al. (2014, AER), Kitao (2014, RED) 4 / 46
  • 13. Motivation Model Calibration Results Literature differs in terms of fiscal closures Pension system parameters contribution rates (20 papers) e.g. Kumru & Thanopoulos (2011, JPE), Bruce & Turnovsky (2013, JPE) replacement rate (8 papers) e.g. Boersch-Supan et al. (2014, AER), Kitao (2014, RED) Fiscal closure labor tax (3 papers) e.g. Bouzahzah et al. (2002, JEDC) consumption tax (10 papers) e.g. Nishiyama & Smetters (2007, QJE), Diaz-Gimenez & Diaz-Saavedra (2009, RED) debt (5 papers ) e.g. Song, et al. (2015, AEJ) Lindbeck & Persson (2003, JEL) 4 / 46
  • 14. Motivation Model Calibration Results Literature differs in terms of fiscal closures Pension system parameters contribution rates (20 papers) e.g. Kumru & Thanopoulos (2011, JPE), Bruce & Turnovsky (2013, JPE) replacement rate (8 papers) e.g. Boersch-Supan et al. (2014, AER), Kitao (2014, RED) Fiscal closure labor tax (3 papers) e.g. Bouzahzah et al. (2002, JEDC) consumption tax (10 papers) e.g. Nishiyama & Smetters (2007, QJE), Diaz-Gimenez & Diaz-Saavedra (2009, RED) debt (5 papers ) e.g. Song, et al. (2015, AEJ) Lindbeck & Persson (2003, JEL) ⇒ Studies do not compare across fiscal closures (except for within pension system) 4 / 46
  • 15. Motivation Model Calibration Results What we do Challenge the view that in stochastic framework pension system privatization is welfare deteriorating 5 / 46
  • 16. Motivation Model Calibration Results What we do Challenge the view that in stochastic framework pension system privatization is welfare deteriorating Provide a systematic overview of the interaction between the pension system reform and fiscal closure 5 / 46
  • 17. Motivation Model Calibration Results What we do Challenge the view that in stochastic framework pension system privatization is welfare deteriorating Provide a systematic overview of the interaction between the pension system reform and fiscal closure Consider new ways of financing the pensions system reform tax on capital income labor tax progression public spending 5 / 46
  • 18. Motivation Model Calibration Results Preview of the results Nishiyama & Smetters (2007) result is NOT universal ⇔ fiscal closure matters Depending on the fiscal closure in stochastic framework: welfare effect of the same reform can be positive or negative with political support or not 6 / 46
  • 19. Motivation Model Calibration Results Preview of the results Nishiyama & Smetters (2007) result is NOT universal ⇔ fiscal closure matters Depending on the fiscal closure in stochastic framework: welfare effect of the same reform can be positive or negative with political support or not Welfare gains and political support only sometimes overlap there are many combinations of fiscal policy that make pension system reform welfare improving public debt often “buys” political support for the reform (both improving and deteriorating) 6 / 46
  • 20. Motivation Model Calibration Results Contents 1 Motivation 2 Model 3 Calibration 4 Results 7 / 46
  • 21. Motivation Model Calibration Results Consumers live for j = 1, 2, ..., 16 periods stochastic survival πj,t < 1 choose labor supply endogenously until retirement age ¯j labor income wj,tlj,t = ωj,twtlj,t where ωj,t = eηj,t and ηj,t follows AR(1) process approximated by 3 stages Markov chain state of the agent sj,t = (aj,t, ηj,t, fj,t) instantaneous utility: u(cj,t, 1 − lj,t, gt) = log(cj,t) + φl log(1 − lj,t) + φg log(gt) 8 / 46
  • 22. Motivation Model Calibration Results Consumer: Recursive Problem Vj,t(sj,t) = max cj,t,lj,t,aj+1,t+1 u(cj,t, lj,t, gt) + δ πj+1,t+1 πj,t E Vj+1,t+1(sj+1,t+1) | sj,t subject to aj+1,t+1 + (1 + τc,t)cj,t + Υt =(1 − τl,t)(1 − τt)wj,tlj,t + bj,t + (1 + (1 − τk,t)rt) aj,t + Γj,t (1) 9 / 46
  • 23. Motivation Model Calibration Results Producers Perfectly competitive representative firm with Cobb-Douglas production function Yt = Kα t (ztLt)1−α Lt = ¯j j=1 Nj,t St ωj,t(sj,t)lj,t(sj,t)dX(sj,t) Profit maximization implies wt = (1 − α)Kα t zt(ztLt)−α rt = αKα−1 (ztLt)1−α − d where d is the capital depreciation rate 10 / 46
  • 24. Motivation Model Calibration Results Government Collects taxes Tt = τl,t(1 − τt)wtLt + τk,trtAt + τc,tCt + Υt J j=1 Nj,t Finances spending on public goods and service Gt = gt J j=1 Nj,t, Balances pension system subsidyt Services debt ∆Dt = (1 + rt)Dt−1 − Dt Tt = Gt + subsidyt + ∆Dt 11 / 46
  • 25. Motivation Model Calibration Results Pension system- baseline scenario PAYG DB equal benefits for everybody within a cohort (provides insurance) bj,t = ρ · wavg,t, for j = ¯j (1 + rI t )bj−1,t−1, for j > ¯j 12 / 46
  • 26. Motivation Model Calibration Results Pension system- baseline scenario PAYG DB equal benefits for everybody within a cohort (provides insurance) bj,t = ρ · wavg,t, for j = ¯j (1 + rI t )bj−1,t−1, for j > ¯j i.e. pensions are indexed payroll growth rate 1 + rI t = wtLt/wt−1Lt−1 12 / 46
  • 27. Motivation Model Calibration Results Pension system- baseline scenario PAYG DB equal benefits for everybody within a cohort (provides insurance) bj,t = ρ · wavg,t, for j = ¯j (1 + rI t )bj−1,t−1, for j > ¯j i.e. pensions are indexed payroll growth rate 1 + rI t = wtLt/wt−1Lt−1 longevity ↑ creates deficit (no balancing mechanism in a system) subsidyt = J j= ¯J Nj,tbj,t − τtwtLt, 12 / 46
  • 28. Motivation Model Calibration Results Pension System - reform scenario partially funded DC contributions go into PAYG and funded pillar: τt = τI t + τII t 13 / 46
  • 29. Motivation Model Calibration Results Pension System - reform scenario partially funded DC contributions go into PAYG and funded pillar: τt = τI t + τII t individual pension accounts fj,t = {fI j,t, fII j,t} ⇒ no insurance fI j,t = (1 + rI t )fI j−1,t−1/(πj,t/πj−1,t−1) + τI t wj,tlj,t fII j,t = (1 + rt)fII j−1,t−1/(πj,t/πj−1,t−1) + τII t wj,tlj,t benefits are ’actuarially fair’, bj,t = bI j,t + bII j,t, where bI j,t = fI j,t/life expectancyt, for j = ¯j (1 + rI t )bI j−1,t−1, for j > ¯j bII j,t = fII j,t/life expectancyt, for j = ¯j (1 + rt)bII j−1,t−1, for j > ¯j 13 / 46
  • 30. Motivation Model Calibration Results Pension System - reform scenario partially funded DC contributions go into PAYG and funded pillar: τt = τI t + τII t individual pension accounts fj,t = {fI j,t, fII j,t} ⇒ no insurance fI j,t = (1 + rI t )fI j−1,t−1/(πj,t/πj−1,t−1) + τI t wj,tlj,t fII j,t = (1 + rt)fII j−1,t−1/(πj,t/πj−1,t−1) + τII t wj,tlj,t benefits are ’actuarially fair’, bj,t = bI j,t + bII j,t, where bI j,t = fI j,t/life expectancyt, for j = ¯j (1 + rI t )bI j−1,t−1, for j > ¯j bII j,t = fII j,t/life expectancyt, for j = ¯j (1 + rt)bII j−1,t−1, for j > ¯j Introducing such reform generates a deficit in the pension system ⇒ need for fiscal closure. 13 / 46
  • 31. Motivation Model Calibration Results Fiscal closures within pension system To keep pension system balanced government may adjust: contribution rate τ benefits bj (as a tax on benefits) J j= ¯Jt Nj,t(1 − τb,t)bj,t = τt ¯wtLt and subsityt = 0 14 / 46
  • 32. Motivation Model Calibration Results Fiscal closures (outside pension system, subsidyt = 0 ) Tt = τl,t(1 − τt)wtLt + τk,trtAt + τc,tCt + Υt J j=1 Nj,t Tt = gt J j=1 Nj,t + subsidyt + (1 + rt)Dt−1 − Dt capital tax, τk,t consumption tax, τc,t public spending closure, gt labor tax, τl,t 15 / 46
  • 33. Motivation Model Calibration Results Fiscal closures (outside pension system, subsidyt = 0 ) Tt = τl,t(1 − τt)wtLt + τk,trtAt + τc,tCt + Υt J j=1 Nj,t Tt = gt J j=1 Nj,t + subsidyt + (1 + rt)Dt−1 − Dt capital tax, τk,t consumption tax, τc,t public spending closure, gt labor tax, τl,t labor tax progressivity, (τH l,t, τL l,t) τH l,t = 2τL l,t τH l,t on earnings above 150% of average labor income 15 / 46
  • 34. Motivation Model Calibration Results Fiscal closures (outside pension system, subsidyt = 0) smoothing tax adjustments with public debt part of the costs of the reform shifted to the future generations fiscal rule ∀tax ∈ l, c, k τtax,t = (1 − )τfinal tax + τtax,t−1 + D D Y t − D Y final in the final steady state debt level converges to the same levels (= initial steady state) 16 / 46
  • 35. Motivation Model Calibration Results Fiscal closures – summary Two closures within pension system contributions ⇒ working cohorts ⇒ labor supply pensions ⇒ on retirees ⇒ consumption 17 / 46
  • 36. Motivation Model Calibration Results Fiscal closures – summary Two closures within pension system contributions ⇒ working cohorts ⇒ labor supply pensions ⇒ on retirees ⇒ consumption Eight closures outside pension system public spending (enters utility) consumption tax (+ debt) ⇒ all cohorts ⇒ consumption labor tax (+ debt) ⇒ working cohorts ⇒ labor supply progressive labor tax ⇒ working cohorts with favorable shocks ⇒ labor supply capital tax (+ debt) ⇒ cohorts with more wealth ⇒ savings & investment 17 / 46
  • 37. Motivation Model Calibration Results Fiscal closures – summary Two closures within pension system contributions ⇒ working cohorts ⇒ labor supply pensions ⇒ on retirees ⇒ consumption Eight closures outside pension system public spending (enters utility) consumption tax (+ debt) ⇒ all cohorts ⇒ consumption labor tax (+ debt) ⇒ working cohorts ⇒ labor supply progressive labor tax ⇒ working cohorts with favorable shocks ⇒ labor supply capital tax (+ debt) ⇒ cohorts with more wealth ⇒ savings & investment In total: ten closures (and a 100 possible combinations of fiscal policy in baseline and reform) 17 / 46
  • 38. Motivation Model Calibration Results Model solving Gauss-Seidel iterative algorithm Guess an initial value for k = K/(zL) and compute prices Solve individual problem and aggregate it to find new K and L , thus k iterate until convergence 18 / 46
  • 39. Motivation Model Calibration Results Model solving Gauss-Seidel iterative algorithm Guess an initial value for k = K/(zL) and compute prices Solve individual problem and aggregate it to find new K and L , thus k iterate until convergence Consumer problem (backward policy function iterations) 18 / 46
  • 40. Motivation Model Calibration Results Model solving Gauss-Seidel iterative algorithm Guess an initial value for k = K/(zL) and compute prices Solve individual problem and aggregate it to find new K and L , thus k iterate until convergence Consumer problem (backward policy function iterations) implicit tax to reduce state space, Butler (2002) policy function iterations with picewise linear interpolation within period problem solved with Newton-Raphson given initial distribution at age j = 1, transition matrix S(ηj,t|ηj−1,t−1) and the policy functions compute the distribution in any successive age j. aggregation done with Gaussian quadrature 18 / 46
  • 41. Motivation Model Calibration Results Model solving Gauss-Seidel iterative algorithm Guess an initial value for k = K/(zL) and compute prices Solve individual problem and aggregate it to find new K and L , thus k iterate until convergence Consumer problem (backward policy function iterations) implicit tax to reduce state space, Butler (2002) policy function iterations with picewise linear interpolation within period problem solved with Newton-Raphson given initial distribution at age j = 1, transition matrix S(ηj,t|ηj−1,t−1) and the policy functions compute the distribution in any successive age j. aggregation done with Gaussian quadrature Transition path, goes between the initial and final steady state 18 / 46
  • 42. Motivation Model Calibration Results Contents 1 Motivation 2 Model 3 Calibration 4 Results 19 / 46
  • 43. Motivation Model Calibration Results Calibration to replicate 2015 US economy Preferences Preference for leisure φl matches average hours 33% Preference for public consumption φg optimal p.c value in the initial steady state Discounting rate δ matches interest rate 4% 20 / 46
  • 44. Motivation Model Calibration Results Calibration to replicate 2015 US economy Preferences Preference for leisure φl matches average hours 33% Preference for public consumption φg optimal p.c value in the initial steady state Discounting rate δ matches interest rate 4% Idiosyncratic productivity shock based on Kruger and Ludwig (2013): Persistence η = 0.95 Variance ση = 0.375 20 / 46
  • 45. Motivation Model Calibration Results Calibration to replicate 2015 US economy Preferences Preference for leisure φl matches average hours 33% Preference for public consumption φg optimal p.c value in the initial steady state Discounting rate δ matches interest rate 4% Idiosyncratic productivity shock based on Kruger and Ludwig (2013): Persistence η = 0.95 Variance ση = 0.375 Pension system Replacement rate ρ matches benefits as % of GDP 5.2% Contribution rate balances pension system Retirement age equal 65 (¯j = 9) 20 / 46
  • 46. Motivation Model Calibration Results Calibration to replicate 2015 US economy Preferences Preference for leisure φl matches average hours 33% Preference for public consumption φg optimal p.c value in the initial steady state Discounting rate δ matches interest rate 4% Idiosyncratic productivity shock based on Kruger and Ludwig (2013): Persistence η = 0.95 Variance ση = 0.375 Pension system Replacement rate ρ matches benefits as % of GDP 5.2% Contribution rate balances pension system Retirement age equal 65 (¯j = 9) Taxes {τc, τl, τk} match revenue as % of GDP {9.2%, 3.8%, 3.6%} Depreciation rate d matches investment rate of 25% 20 / 46
  • 47. Motivation Model Calibration Results Calibration to replicate 2015 US economy Demography is based on the projection by The United Nations. number of 20-year-olds mortality rates 21 / 46
  • 48. Motivation Model Calibration Results Reform: gradually replace PAYG DB ... ... with a partially funded define contribution (DC) 22 / 46
  • 49. Motivation Model Calibration Results Profile of average consumption for τc closure other closures in line with Gourinchas & Parker (2002, Econometrica) 23 / 46
  • 50. Motivation Model Calibration Results Profile of average labor for τc closure other closures 24 / 46
  • 51. Motivation Model Calibration Results Profile of average savings for τc closure other closures 25 / 46
  • 52. Motivation Model Calibration Results Contents 1 Motivation 2 Model 3 Calibration 4 Results 26 / 46
  • 53. Motivation Model Calibration Results Baseline: PAYG DB with aging and thus deficit Adjustment in pension parameters contribution rate ↑ from 7.8% to 9% replacement rate ↓ from 21.1% to 17.8% Adjustment in fiscal parameters pension system deficit ↑ by 1pp of GDP 27 / 46
  • 54. Motivation Model Calibration Results Reform: partially funded DC Adjustment in fiscal parameters pension system deficit ↑ from 0% to 2% of GDP (and eventually back to 0%) 28 / 46
  • 55. Motivation Model Calibration Results Capital and labor Capital Labor 29 / 46
  • 56. Motivation Model Calibration Results Welfare analysis - like Nishiyama & Smetters (2007) What happens within each experiment? 1 Run the no policy reform scenario ⇒ baseline 2 Run the policy reform scenario ⇒ reform 3 For each cohort compare utility, compensate the losers from the winners 4 If net effect positive ⇒ reform efficient 30 / 46
  • 57. Motivation Model Calibration Results Compare two different tax closures, τc and τk τk has larger gain towards the end, → positive overall welfare effect 31 / 46
  • 58. Motivation Model Calibration Results Welfare effect - final steady state Fiscal Baseline closure τ τb τc τl τk prog. dτc dτl dτk gt Reform τ 0.70 τb 0.53 τc 0.39 τl 0.24 τk 0.93 prog. 0.76 dτc 0.39 dτl 0.24 dτk 0.93 gt 0.08 % of consumption in reform scenario which you are willing to give up to ensure that the reform take place 32 / 46
  • 59. Motivation Model Calibration Results Welfare effect - final steady state Fiscal Baseline closure τ τb τc τl τk prog. dτc dτl dτk gt Reform τ 0.70 0.53 0.52 0.52 0.44 1.02 0.52 0.52 0.44 0.55 τb 0.70 0.53 0.52 0.52 0.44 1.02 0.52 0.52 0.44 0.55 τc 0.63 0.48 0.39 0.39 0.41 0.89 0.39 0.39 0.41 0.42 τl 0.55 0.42 0.25 0.24 0.31 0.75 0.25 0.24 0.31 0.27 τk 1.07 0.84 1.00 1.00 0.93 1.50 1.00 1.00 0.93 1.03 prog. 0.51 0.35 0.26 0.26 0.34 0.76 0.26 0.26 0.34 1.04 dτc 0.63 0.48 0.39 0.39 0.41 0.89 0.39 0.39 0.41 0.42 dτl 0.55 0.42 0.25 0.24 0.31 0.75 0.25 0.24 0.41 0.27 dτk 1.07 0.84 1.00 1.00 0.93 1.50 1.00 1.00 0.93 1.03 gt 0.48 0.38 0.05 0.04 0.12 0.55 0.05 0.04 0.12 0.08 % of consumption in reform scenario which you are willing to give up to ensure that the reform take place 32 / 46
  • 60. Motivation Model Calibration Results Welfare effect - transition % of consumption in reform scenario which you are willing to give up to ensure that the reform take place Fiscal Baseline closure τ τb τc τl τk prog. dτc dτl dτk gt Reform τ 0.07 τb 0.11 τc -0.06 τl -0.37 τk 0.55 prog. 0.13 dτc -0.09 dτl -0.37 dτk 0.54 gt -0.33 33 / 46
  • 61. Motivation Model Calibration Results Welfare effect - transition % of consumption in reform scenario which you are willing to give up to ensure that the reform take place Fiscal Baseline closure τ τb τc τl τk prog. dτc dτl dτk gt Reform τ 0.07 0.13 -0.04 -0.03 -0.15 0.53 -0.05 -0.02 -0.12 0.02 τb 0.06 0.11 -0.06 -0.05 -0.17 0.51 -0.06 -0.04 -0.14 0.00 τc 0.09 0.15 -0.06 -0.05 -0.16 0.51 -0.06 -0.05 -0.14 0.00 τl -0.12 -0.04 -0.38 -0.37 -0.43 0.18 -0.38 -0.37 -0.46 -0.32 τk 0.57 0.48 0.64 0.64 0.55 1.17 0.63 0.64 0.56 0.68 prog. -0.23 -0.18 -0.43 -0.42 -0.48 0.13 -0.43 -0.42 -0.43 -0.19 dτc 0.07 0.13 -0.08 -0.07 -0.18 0.49 -0.09 -0.07 -0.16 -0.02 dτl -0.11 -0.04 -0.38 -0.37 -0.43 0.19 -0.38 -0.37 -0.45 -0.32 dτk 0.56 0.47 0.63 0.63 0.54 1.15 0.63 0.64 0.54 0.65 gt -0.04 0.07 -0.39 -0.38 -0.49 0.19 -0.40 -0.38 -0.40 -0.33 33 / 46
  • 62. Motivation Model Calibration Results Welfare effect - transition % of consumption in reform scenario which you are willing to give up to ensure that the reform take place Fiscal Baseline closure τ τb τc τl τk prog. dτc dτl dτk gt Reform τ 0.07 0.13 -0.04 -0.03 -0.15 0.53 -0.05 -0.02 -0.12 0.02 τb 0.06 0.11 -0.06 -0.05 -0.17 0.51 -0.06 -0.04 -0.14 0.00 τc 0.09 0.15 -0.06 -0.05 -0.16 0.51 -0.06 -0.05 -0.14 0.00 τl -0.12 -0.04 -0.38 -0.37 -0.43 0.18 -0.38 -0.37 -0.46 -0.32 τk 0.57 0.48 0.64 0.64 0.55 1.17 0.63 0.64 0.56 0.68 prog. -0.23 -0.18 -0.43 -0.42 -0.48 0.13 -0.43 -0.42 -0.43 -0.19 dτc 0.07 0.13 -0.08 -0.07 -0.18 0.49 -0.09 -0.07 -0.16 -0.02 dτl -0.11 -0.04 -0.38 -0.37 -0.43 0.19 -0.38 -0.37 -0.45 -0.32 dτk 0.56 0.47 0.63 0.63 0.54 1.15 0.63 0.64 0.54 0.65 gt -0.04 0.07 -0.39 -0.38 -0.49 0.19 -0.40 -0.38 -0.40 -0.33 33 / 46
  • 63. Motivation Model Calibration Results Welfare effects: why public debt can help gaining political support? It helps pensioners (who gain anyway) Young always loose (→ are againsr the reform) With debt we sway some working who remain in the old system → majority 34 / 46
  • 64. Motivation Model Calibration Results Welfare effect – τc Why debt can help gain political support 35 / 46
  • 65. Motivation Model Calibration Results Welfare effect - transition - τc & debt + τc Why debt can help gain political support 36 / 46
  • 66. Motivation Model Calibration Results Welfare effect - transition - τc & debt + τc Why debt can help gain political support 37 / 46
  • 67. Motivation Model Calibration Results Political support % of consumption in reform scenario which you are willing to give up to ensure that the reform take place lime area denotes political support, green font denotes welfare gain Fiscal Baseline closure τ τb τc τl τk prog. dτc dτl dτk gt Reform τ 0.07 0.13 -0.04 -0.03 -0.15 0.53 -0.05 -0.02 -0.12 0.02 τb 0.06 0.11 -0.06 -0.05 -0.17 0.51 -0.06 -0.04 -0.14 0.00 τc 0.09 0.15 -0.06 -0.05 -0.16 0.51 -0.06 -0.05 -0.14 0.00 τl 0.12 -0.04 -0.38 -0.37 -0.43 0.18 -0.38 -0.37 -0.46 -0.32 τk 0.57 0.48 0.64 0.64 0.55 1.17 0.63 0.64 0.56 0.68 prog. -0.23 -0.18 -0.43 -0.42 -0.48 0.13 -0.43 -0.42 -0.43 -0.19 dτc 0.07 0.13 -0.08 -0.07 -0.18 0.49 -0.09 -0.07 -0.16 -0.02 dτl -0.11 -0.04 -0.38 -0.37 -0.43 0.19 -0.38 -0.37 -0.45 -0.32 dτk 0.56 0.47 0.63 0.63 0.54 1.15 0.63 0.64 0.54 0.65 gt -0.04 0.07 -0.39 -0.38 -0.49 0.19 -0.40 -0.38 -0.40 -0.33 38 / 46
  • 68. Motivation Model Calibration Results Nishiyama & Smetters, 2007: stochastic vs deterministic? Compare the effects of pension system reform in a stochastic and deterministic framework 39 / 46
  • 69. Motivation Model Calibration Results Nishiyama & Smetters, 2007: stochastic vs deterministic? Compare the effects of pension system reform in a stochastic and deterministic framework large role for the insurance motive per se but there are closures with positive outcomes despite stochastic setup 39 / 46
  • 70. Motivation Model Calibration Results Nishiyama & Smetters, 2007: stochastic vs deterministic? τc 40 / 46
  • 71. Motivation Model Calibration Results Nishiyama & Smetters, 2007: stochastic vs deterministic? τc τ 40 / 46
  • 72. Motivation Model Calibration Results Conclusions Social security reform requires fiscal adjustment Fiscal closures redistribute, therefore matter a lot (unnoticed in earlier literature) Insurance motive large but not decisive for evaluation of (partial) privatization Preferred policy options Debt closures: yield some welfare gains and obtain political support Tax on capital income Good but never favored policy options Adjustment in pensions Labor tax progression (puzzling) 41 / 46
  • 73. Motivation Model Calibration Results Questions or suggestions? Thank you! w: grape.org.pl t: grape org f: grape.org e: kmakarski@grape.org.pl 42 / 46
  • 74. GO BACK τ τb gt τl progression τk debtτl debtτc debtτk 43 / 46
  • 75. GO BACK τ τb gt τl progression τk debtτl debtτc debtτk 44 / 46
  • 76. GO BACK τ τb gt τl progression τk debtτl debtτc debtτk 45 / 46
  • 77. GO BACK τ τb gt τl τc τk debtτl debtτc progression 46 / 46