assessing dsge models with capital accumulation and indeterminacy
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NES 20th Anniversary Conference, Dec 13-16, 2012 Assessing DSGE Models with Capital Accumulation and Indeterminacy (based on the article presented by Vadim Khramov at the NES 20th Anniversary Conference). Author: Vadim Khramov Executive Board, International Monetary Fund; Department of Economics, University of California Los AngelesTRANSCRIPT
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Vadim Khramov Executive Board, International Monetary Fund
Department of Economics, University of California Los Angeles
NES
December 2012 1
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The Great Moderation refers to a reduction in the volatility of business cycle fluctuations starting in the mid-1980s. The most commonly proposed explanations for the Great Moderation fall into three broad categories:
◦ better monetary policy
◦ structural changes in inventory management
◦ good luck.
The canonical papers consider the change in U.S. monetary policy rules (from passive during pre-Volcker period to active during the post -1982 period) to be the main source of the Great Moderation.
Modeling economies with passive monetary policy rules is challenging, as it leads to multiple equilibria (indeterminacy) in the standard New-Keynesian framework.
As there is a limited set of econometric estimation methods that can be applied if indeterminacy exists, the Bayesian approach to the DSGE estimation was rarely used. The majority of papers ex-ante limited themselves to active monetary policy and determinate equilibria models.
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Structural changes and active monetary policy Passive monetary policy
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This paper estimates DSGE models with capital accumulation and potential for
indeterminacy to understand the sources of the Great Moderation.
In models with capital interest rate affects output through the consumption-savings
decision and through the production sector, making it possible to separate the
influence of interest rate changes between households and firms.
This approach allows identifying and measuring structural changes in monetary
policy and behavior of firms and consumers.
Major findings of this paper:
◦ During the Great Moderation there was almost no change in monetary policy rules
and monetary policy remained passive.
◦ Major structural changes were related to consumer behavior.
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1. Canonical framework
2. Model with capital accumulation
3. Simulations
4. Empirical results
5. Conclusions
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1. Canonical framework
2. Model with capital
3. Simulations
4. Empirical results
5. Conclusions
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The canonical New-Keynesian framework
The monetary policy is active if the nominal interest rate increases more than one-
to-one with inflation ( ); otherwise, it is passive ( ).
Output equals consumption in the absence of investment
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ttYkRtRt
ttttt
ttttttt
YRR
zYE
gERcEc
)ˆˆ)(1(ˆˆ
)ˆˆ(ˆˆ
)ˆˆ(1
ˆˆ
1
1
11
1 1
Euler equation
Phillips curve
Monetary policy rule
tt Yc ˆ
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As there is no investment in this model, consumption equals output.
In these models the interest rate affects output only through the
consumption-savings decision of the household, and not through the
production sector.
The influence of monetary policy on the production sector is muted and
this transmission mechanism is not taken into account.
Considering substantial developments in the financial markets over the past
50 years, estimating models without investment and capital could
incorrectly estimate structural changes in the economy.
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1. Canonical framework
2. Model with capital
3. Simulations
4. Empirical results
5. Model comparison
6. Conclusions
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A standard New-Keynesian model with capital:
◦ Representative household, which maximizes utility over consumption, leisure,
and real money holdings
◦ Monopolistically competitive firms
◦ Calvo pricing
◦ Capital accumulation activity
◦ Monetary policy rule
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Consumption Euler equation
Fisher equation
Monetary policy rule
Phillips curve
Output
Capital accumulation
Consumption-labor condition
Canonic
al part
11
ˆˆˆ tttt rER C
apit
al part
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1. Canonical framework
2. Model with capital accumulation
3. Simulations
4. Empirical results
5. Conclusions
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The model with capital exhibits different types of dynamics depending on
its parameter values.
Under a wide set of parameters the model is determinate if the monetary
authority implements an active monetary policy, and the model is
indeterminate if the monetary policy is passive.
Two major versions of the model with active and passive monetary policies
are simulated.
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Prior
mean
Prior
std Distribution
Response of monetary policy rule to inflation 0.5 or 1.5 0.1 Gamma
Y Response of monetary policy rule to output 0.25 0.15 Gamma
R Persistency of interest rate in monetary policy rule 0.5 0.2 Beta
* Steady state inflation 4 2 Gamma
r* Steady state interest rate 2 1 Gamma
Real marginal most elasticity of inflation in Calvo
model 0.3 0.1 Beta
Inverse elasticity of intertemporal substitution of
consumption 2 0.5 Gamma
g Persistence of preference shock 0.7 0.1 Beta
z Persistence of technology (marginal cost) shock 0.7 0.1 Beta
Share of capital income 0.3 0.1 Beta
Is
Share of investment in output 0.3 0.1 Beta
gz
Correlation between technology (marginal cost) and
preference shocks 0 0.4 Normal
R
Standard deviation of an interest rate shock 0.31 0.16 Inverse gamma
g
Standard deviation of a preference shock 0.38 0.2 Inverse gamma
z
Standard deviation of an interest rate shock 1 0.52 Inverse gamma
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While most of the canonical Keynesian models cannot replicate high autocorrelation levels
among the main economic variables (Fuhrer and Moore 1995; Chari, Kehoe, and McGrattan, 2000), the simulation results in this paper show that models with capital accumulation can generate substantial persistencies in major economic variables.
◦ In the simulated models autocorrelation coefficients for consumption and capital are more than 0.9.
◦ Autocorrelations of inflation and nominal interest rate are also very high.
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Order 1 2 1 2 1 2
Consumption 0.995 0.983 0.896 0.812 0.871 0.711
Interest rate 0.885 0.782 0.723 0.527 0.952 0.885
Inflation 0.779 0.692 0.603 0.423 0.669 0.671
Output 0.384 0.33 0.799 0.549 0.858 0.67
Capital 0.991 0.975 0.992 0.972 0.949 0.836
Passive MP
Empirical ACF
(1960:I to 2008:IV)Active MP
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Shocks of preferences (demand shocks) are the main drivers of volatility in the model with
passive monetary policy, explaining more than 90 percent of volatility of endogenous
variables
Marginal cost shocks (shocks of supply) explain more than 50 percent of variance in the
model with active monetary policy.
These results are similar to the findings of Smets and Wouters (2007)
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Model with current-looking passive monetary
policy.
Model with current-looking
active monetary policy.
Interest
rate
shock
Preference
(demand)
shock
Marginal
cost
(supply)
shock
Sunspot
shock
Interest
rate
shock
Preference
(demand)
shock
Marginal
cost
(supply)
shock
Consumption 0.33 92.75 6.35 0.57 0.21 44.95 54.84
Interest rate 0.72 95.31 3.3 0.67 0 34.74 65.25
Inflation 0.62 96.61 2.03 0.74 0.46 32.89 66.65
Output 0.18 95.5 3.65 0.67 1.49 31.25 67.26
Capital 0.31 93.14 6.01 0.54 0.23 40.38 59.4
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1. Canonical framework
2. Model with capital accumulation
3. Simulations
4. Empirical results
5. Model comparison
6. Conclusions
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The system of equations is fitted to quarterly postwar U.S. data from 1960:Q1 to
2008:Q1 on:
◦ Output
◦ Inflation
◦ Nominal interest rates
◦ Consumption
◦ Capital
Model was estimated separately for the pre-Volcker period (1960-1979) and for the
post-1982 period (1982-2008), excluding Volcker’s disinflation period.
As the model exhibits different stability properties and dynamics under passive
(indeterminacy) and active (determinacy) monetary policy rules, two versions of
the model were estimated for each sample period.
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The Bayesian approach was used to estimate the model:
◦ (1) Prior distributions
◦ (2) Solve the DSGE model with rational expectations
◦ (3) Use the Kalman filter to construct likelihood
◦ (4) Maximize joint likelihood function
◦ (5) Construct the inference with the Random-Walk-Metropolis-Hastings algorithm.
How is the problem of indeterminacy solved?
A method proposed by Farmer and Khramov (forthcoming) is used.
If the model is indeterminate, rational expectation errors influence dynamics of real
variables.
Econometrically, rational expectation errors (“sunspot” shocks) are introduced into the
model as standard exogenous shocks.
Specifying correlations between “sunspot” shocks and fundamental shocks allows to span
the set of all possible solutions of the model with indeterminacy.
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Parameter
Mean Std Distri
bution
Monetary policy rule
Response of monetary policy rule to inflation 0.5 0.20 Gamma
Response of monetary policy rule to output Y 0.25 0.15 Gamma
Persistency of interest rate in monetary policy rule R 0.50 0.20 Beta
Steady state inflation and real interest rate
Steady-state inflation * 4.00 2.00 Gamma
Steady-state interest rate r* 2.00 1.00 Gamma
Standard model parameters
Inverse elasticity of intertemporal substitution of
consumption 2.00 0.50 Gamma
Real marginal most elasticity of inflation in Calvo model 0.30 0.10 Beta
Persistence of preference shock g 0.70 0.10 Beta
Persistence of technology (marginal cost) shock z 0.70 0.10 Beta
Capital-related parameters
Share of capital in output 0.33 0.05 Beta
Share of investment in output Is 0.30 0.10 Beta
Variance of shocks
Standard deviation of the interest rate shock R 0.31 0.16 Inv Gamma
Standard deviation of the preference shock g 0.38 0.20 Inv Gamma
Standard deviation of the marginal cost shock z 1.00 0.52 Inv Gamma
Standard deviation of the sunspot shock s 0.10 0.01 Inv Gamma
Correlation of shocks
Correlation between technology (marginal cost) and
preference shocks gz
0.00 0.40 Normal
Correlation between sunspot and preference shocks sg 0.00 0.5774 Uniform
Correlation between sunspot and technology shocks sz 0.00 0.5774 Uniform
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Two models were estimated separately for the pre-Volcker period (1960-1979) and
for the post-1982 period (1982-2008), excluding Volcker’s disinflation period.
Model with indeterminacy and passive monetary policy
Model with determinacy and active monetary policy
The model with capital and passive monetary policy (indeterminacy) dominates the
determinate model.
The Bayesian approach is used to evaluate the probability of each model.
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Model with capital
indeterminacy Canonical models
Pre-Volcker period (1960:I
to 1979:II)
Passive MP and
indeterminacy
Passive MP and
indeterminacy
Post-1982 period
Passive MP and
indeterminacy
Active MP and
determinacy
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Pre-Volcker period
(1960-1979)
Post-1982 period
(1982-2008)
Mean Std
Distri
bution
Posterior
mean 90 percent CI Posterior mean 90 percent CI
Monetary policy rule
0.5/1.5 0.20 Gamma 0.581 [0.432,0.735] 0.570 [0.306,0.836]
Y 0.25 0.15 Gamma 0.398 [0.216,0.558] 0.331 [0.060,0.584]
R 0.50 0.20 Beta 0.781 [0.700,0.868] 0.959 [0.929,0.986]
Steady state inflation and real interest rate
* 4.00 2.00 Gamma 4.728 [3.300,6.097] 3.786 [0.789,7.103]
r* 2.00 1.00 Gamma 0.728 [0.569,0.892] 2.012 [1.617,2.432]
Standard model parameters
2.00 0.50 Gamma 1.131 [0.699,1.521] 2.647 [2.029,3.293]
0.30 0.10 Beta 0.578 [0.440,0.706] 0.584 [0.468,0.693]
g 0.70 0.10 Beta 0.628 [0.537,0.730] 0.439 [0.341,0.540]
z 0.70 0.10 Beta 0.694 [0.598,0.785] 0.916 [0.888,0.943]
Capital-related parameters
0.33 0.05 Beta 0.565 [0.489,0.636] 0.809 [0.760,0.861]
Is 0.30 0.10 Beta 0.069 [0.065,0.073] 0.065 [0.060,0.071]
Variance of shocks
R 0.31 0.16 Inv
Gamma 0.172 [0.148,0.198] 0.138 [0.121,0.154]
g 0.38 0.20 Inv
Gamma 0.273 [0.202,0.342] 0.136 [0.112,0.162]
z 1.00 0.52 Inv
Gamma 1.164 [0.820,1.468] 1.000 [0.789,1.199]
s 0.10 0.01 Inv
Gamma 0.217 [0.216,0.218] 0.213 [0.208,0.218]
Correlation of shocks
gz
0.00 0.40 Normal 0.211 [0.201,0.218] 0.195 [0.166,0.218]
sg 0.00 0.5774 Uniform 0.105 [0.084,0.124] 0.095 [0.082,0.108]
sz 0.00 0.5774 Uniform 0.107 [0.086,0.127] 0.100 [0.085,0.116]
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tRtYtRtRt YRR ,1 )ˆˆ)(1(ˆˆ
Empirical estimates on U.S.
data from 1960:I to 2008:I
show that the Fed’s monetary
policy rules did not change
and was passive before and
after the Great Moderation.
Capital accumulation creates
an additional channel of
influence through real interest
rates in the production sector.
Canonical models did not take
into account the influence of
interest rates on production
sector.
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Monetary policy response to inflation
0
0.5
1
1.5
2
2.5
Model with capital (Indeterminacy/Indeterminacy)
Lubik and Schorfheide (2004) (Indeterminacy/ Determinacy)
0.58
0.77
0.57
2.19
Pre-Volcker period (1960-1979) Post 1982 period
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tRtYtRtRt YRR ,1 )ˆˆ)(1(ˆˆ
Monetary policy response to
output almost did not change
in the model with capital,
while in the canonical model
it almost doubled.
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YMonetary policy response to output
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
Model with capital (Indeterminacy/Indeterminacy)
Lubik and Schorfheide (2004) (Indeterminacy/ Determinacy)
0.398
0.17
0.33
0.3
Pre-Volcker period (1960-1979) Post 1982 period
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Inverse elasticity of
intertemporal substitution
increased substantially in the
model with capital, while it did
not change much in the
canonical model.
Consumption became much
less sensitive to interest rates,
supporting the idea of better
consumption smoothing, due to
financial innovations.
The estimates show that a
direct response of consumption
to interest rates decreased
substantially in the model with
output split between
consumption and investment.
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Inverse elasticity of intertemporal substitution
of consumption
tgtttttt ERCEC ,11ˆˆ1ˆˆ
0
0.5
1
1.5
2
2.5
3
Model with capital (Indeterminacy/Indeterminacy)
Lubik and Schorfheide (2004) (Indeterminacy/ Determinacy)
1.13
2.08
2.64
1.86
Pre-Volcker period (1960-1979) Post 1982 period
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Steady state real interest
rates increased and inflation
deceased in both models.
The difference is that
canonical models attribute
this change to change in
monetary policy, while
model with capital attributed
this change to changes in
consumers behavior.
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Interest rates and inflation
Real interest
rates increased
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An increase of the share of
capital income in output
supports the idea of higher
real returns in the production
sector.
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Share of capital income in output
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Model with capital (Indeterminacy/Indeterminacy)
Lubik and Schorfheide (2004) (Indeterminacy/ Determinacy)
0.56
0.81
Pre-Volcker period (1960-1979) Post 1982 period
No change assumption
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1. Canonical framework
2. Model with capital accumulation
3. Simulations
4. Empirical results
5. Model comparison
6. Conclusions
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This paper estimates New-Keynesian DSGE models with capital
accumulation and potential for indeterminacy to understand the sources of
the Great Moderation.
It is shown that capital accumulation activity has a strong influence on the
model dynamics and estimation.
◦ The simulation results of this paper that models with capital accumulation can
generate substantial persistencies in major economic variables.
◦ Demand shocks drive volatility in the model with passive monetary policy, while
supply shocks dominate under active monetary policy.
Investment activity changes the monetary transmission mechanisms and
allows for the reconsideration and re-estimation of the monetary policy.
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Bayesian empirical estimates on U.S. data from 1960 to 2008 show that
during the Great Moderation, in contract to canonical papers, there was
almost no change in the Fed’s monetary policy rule and it remained
passive.
The Bayesian comparison of the models enables us to declare that models
with indeterminacy and passive monetary policy dominate determinate
models.
It was found that during the Great Moderation major structural changes
were mainly related to consumer behavior. Dynamics of consumption
became smoother and its response to interest rates decreased, supporting
the idea of financial innovations.
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