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O PTIMAL M ONETARY P OLICY
FOR THE M ASSES
James Bullard, Federal Reserve Bank of St. Louis
Riccardo DiCecio, Federal Reserve Bank of St. Louis

28th Annual Hyman P. Minsky Conference
Levy Economics Institute of Bard College
April 17, 2019
Annandale-on-Hudson, N.Y.
Any opinions expressed here are our own and do not necessarily reflect those of the FOMC.

I NTRODUCTION

E NVIRONMENT

P RODUCTIVITY

E QUILIBRIUM

I NEQUALITY

P OLICY

C ONCLUSIONS

Introduction

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I NTRODUCTION

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I NEQUALITY

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C ONCLUSIONS

I NEQUALITY AND MONETARY POLICY

Interest in income, financial wealth and consumption inequality has increased in the
last decade.
Can monetary policy be conducted in a way that benefits all households even in a
world of substantial heterogeneity?
The answer in this paper is “yes.”

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I NTRODUCTION

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O PTIMAL MONETARY POLICY
We construct a stylized economy with considerable wealth, income and consumption
inequality.
The role of monetary policy in this model is to make sure private credit markets are
working correctly (i.e., complete).
Optimal monetary policy in this model looks like “nominal GDP targeting”—that is,
countercyclical price-level movements.
This result continues to hold even when there is “massive” heterogeneity—enough
heterogeneity to approximate income, financial wealth and consumption inequality
in the U.S.
Hence, the main result is that nominal GDP targeting constitutes “optimal monetary policy
for the masses” in this environment.

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S OME RECENT LITERATURE

Kaplan, Moll and Violante (AER, 2018):
NK model with heterogeneous households (HANK); reasonable Gini coefficients.
The monetary policy transmission mechanism is substantially altered relative to the
representative agent model (RANK).

Bhandari, Evans, Golosov and Sargent (Working paper, NBER, 2018):
Incomplete markets, nominal friction, heterogeneous households (HAIM); reasonable
Gini coefficients.
Optimal monetary-fiscal policy (Ramsey) substantially altered relative to the standard
model.

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A DDITIONAL RECENT LITERATURE

Bullard and DiCecio (Working paper, St. Louis Fed, 2019):
Incomplete markets, nominal friction, heterogeneous households (HAIM); reasonable
Gini coefficients.
Optimal monetary policy repairs the distortion caused by the friction for all households.

See also the conference on “Monetary Policy and the Distribution of Income and
Wealth,” held at the St. Louis Fed on Sept. 11-12, 2015. See the program.

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Environment

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I NTRODUCTION

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L IFE - CYCLE MODELS
General-equilibrium life-cycle economy.
Each period, a new cohort of households enters the economy, makes economic decisions
over the next 241 periods, then exits the economy. The model is therefore “quarterly.”
Households have log preferences defined over consumption and leisure.
Households are randomly assigned one of many possible personal productivity profiles
when they enter the model.
The profile is symmetric—it begins low, rises and peaks exactly in the middle of life, then
declines back to the low level.
Productivity units determine the value of an hour worked in a competitive labor market.
The production technology is linear. The economy grows over time at a stochastic rate.
There is no population growth in this version.
We ignore the effective lower bound in this version; see Azariadis et al. (JEDC, 2019).

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H OUSEHOLD CREDIT

The overlapping-generations structure creates a large private credit market essential
to good macroeconomic performance.
Relatively young households want to borrow to move consumption forward in the
life cycle, while middle-aged households wish to save for retirement. So households
in the middle of life lend to the relatively young.
The key variable is therefore privately issued household debt. Household debt
outstanding in the U.S. is on the order of GDP, around $20 trillion.
As practical motivation, think of privately issued debt = “mortgage-backed
securities.”

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N ON - STATE CONTINGENT

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NOMINAL CONTRACTING

There is a friction in the credit market: Non-state contingent nominal contracting
(NSCNC).
There are two aspects to this friction:
The non-state contingent aspect means that real resources are misallocated via this friction.
The nominal aspect means that the monetary authority may be able to fix the distortion to
the equilibrium through appropriate monetary policy.

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T IMING PROTOCOL

Period t

Nature

Policymaker

Households

growth rate of
aggregate productivity
=⇒ real wage

price level

labor/leisure
consumption/saving

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T HE EQUILIBRIUM MONETARY POLICY CREATES
The monetary policymaker follows a nominal GDP targeting rule that delivers
complete-markets consumption allocations—similar to Koenig (IJCB, 2013) and
Sheedy (BPEA, 2014).
Given this policy rule, households consume equal amounts of available production
conditional on their productivity; this is called “equity share contracting,” and it is
optimal under homothetic preferences.
The nominal GDP targeting rule works because it provides a form of insurance for all
households against future aggregate shocks.
Income, consumption and asset holdings fluctuate from period to period but in
proportion to the value of the real wage.
All households experience the same stochastic consumption growth rate.

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T HE W ICKSELLIAN NATURAL REAL RATE OF INTEREST

The equilibrium we study has the following property:
The real interest rate is exactly equal to the output growth rate at every date, even in the stochastic
economy.

One could think of this as “the Wicksellian natural real rate of interest.”
The proper conduct of monetary policy could be thought of as restoring this
Wicksellian real rate, which also characterizes optimal monetary policy in the
baseline New Keynesian model.

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Life-Cycle Productivity

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L IFE - CYCLE PRODUCTIVITY PROFILES
Households entering the economy draw a scaling factor from a uniform distribution
and receive a scaled version of the baseline life-cycle productivity profile.
This process is a stand-in for the human capital development that takes place before
age 20 in actual economies, including parenting, schooling and any pre-age 20 job
experience.
Huggett, Ventura and Yaron (AER, 2011) argue that differences in initial conditions
are more important than subsequent shocks in explaining lifetime income differences.
Accordingly, to keep the model simple, we assume that shocks to productivity
occurring after age 20 are handled by an unmodeled insurance market, which might
be thought of as “unemployment insurance.”
We also consider a lognormal distribution for the scaling factor, creating an economy
with arbitrarily rich and poor households.

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B ASELINE LIFE - CYCLE PRODUCTIVITY
4
3
2
1
0

0

60

120

180

240

quarters
F IGURE : The baseline personal productivity endowment profile. The profile is symmetric and peaks
in the middle period of the life cycle at a level about 50% greater than at the beginning or end.

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T HE MASS

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OF LIFE - CYCLE PRODUCTIVITY

F IGURE : The mass of endowment profiles with the scaling factor drawn from a uniform distribution.
Drawing from a lognormal distribution is also possible, in which case the model would include
arbitrarily rich and poor households.
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Characterizing the Equilibrium

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I NTRODUCTION

H OURS

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WORKED OVER THE LIFE CYLE

1

0.5

0

0

60

120

180

240

quarters
F IGURE : Cross section: Leisure decisions by age (green), labor supply by age (blue), and fraction of
work time in U.S. data, 19% (red). The labor/leisure choices depend on age only. High-income
households work the same hours as low-income households at each age.
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L ABOR INCOME MASS

F IGURE : Cross section: Labor income profiles. Personal productivity peaks at the middle of the life
cycle, and households work more at that time as well, making income even more concentrated in
the peak earning years.
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C ONSUMPTION MASS

F IGURE : Cross section: Consumption mass (red) and labor income mass (blue) along the
complete-markets balanced growth path. Under optimal monetary policy, the private credit market
reallocates uneven labor income into perfectly equal consumption for each productivity profile. The
consumption Gini is 31.8%, similar to values calculated from U.S. data.
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N ET

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ASSET HOLDING MASS

F IGURE : Cross section: Net asset holding mass by cohort along the complete markets balanced
growth path. Borrowing, the negative values to the left, peaks at stage 60 of the life cycle (age ∼ 35),
while positive assets peak at stage 180 of life (age ∼ 65). The financial wealth Gini is 72.7%, similar
to values calculated in U.S. data.
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T HREE NOTIONS

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OF INCOME

Three notions of income:
1
2
3

Labor income (Y1 ).
Labor income plus non-negative capital income (Y2 ).
The non-negative component of total income (Y3 ).

Gini coefficients of the various income distributions: GY1 = 56.2%, GY2 = 51.6%,
GY3 = 59.6%.

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L ABOR INCOME + NON - NEGATIVE CAPITAL INCOME

F IGURE : Cross section: Profiles of labor income and non-negative capital income.

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N ON - NEGATIVE TOTAL INCOME

F IGURE : Cross section: Profiles of non-negative total income.

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Inequality

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D ATA ON INEQUALITY IN THE U.S.

Consumption (Heathcote, Perri and Violante, RED, 2010): GC,U.S. = 32%.
Income (CBO, 2016): pre-taxes/transfers GY,U.S. = 51%; post-taxes/transfers
GY,U.S. = 43%.
Financial wealth (Davies, Sandström, Shorrocks and Wolff, EJ, 2011): GW,U.S. = 80%.

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I NEQUALITY IN THE MODEL

There is a large amount of heterogeneity in the model that depends in part on
life-cycle productivity dispersion and in part on the life cycle itself.
Financial wealth is defined as the non-negative part of net assets.
We also consider lognormal productivity:
This allows for arbitrarily rich and poor households.
All distributions (wealth, income and consumption) are mixtures of lognormals (and delta
functions).
Gini coefficients can be computed with “paper and pencil.”

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G INI COEFFICIENTS
Wealth
W

Y1

Income
Y2

Y3

51%

Consumption
C

U.S. data

80%

32%

Uniform

72.7%

56.2%

51.6%

59.6%

31.8%

Lognormal

72.4%

55.7%

51.1%

59.0%

32%

TABLE : Gini coefficients in the U.S. data and in the model with uniform and lognormal productivity.

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P RODUCTIVITY DISPERSION AND G INI COEFFICIENTS

Wealth
Labor income
Consumption

1

0.5

0

2

4

6

8

10

F IGURE : As the dispersion of productivity profiles increases, the Gini coefficients increase. The
ordering GW > GY > GC is preserved.

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Policy

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I NTRODUCTION

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I NTERPRETING MONETARY

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C ONCLUSIONS

POLICY

The nominal GDP targeting rule characterizes policy by “countercyclical price-level”
movements.
But the policy can also be interpreted more conventionally in interest rate terms.

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P OLICY CHARACTERIZATION

The nominal rate is determined one period in advance as the expected rate of
nominal GDP growth.
The nominal rate is always ratified ex post by the policymaker.
This makes the real rate = aggregate productivity growth rate = Wicksellian natural
real rate of interest.
“Just like the simple New Keynesian model”—that is, the policymaker seeks to
restore the Wicksellian natural real rate.

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N OMINAL GDP

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TARGETING

How can we interpret these results as nominal GDP targeting?
No persistence in aggregate productivity growth: The expected rate of nominal GDP
growth never changes, and the economy never deviates from the nominal GDP path.
“Perfect nominal GDP targeting.”
Persistence in aggregate productivity growth: The expected rate of nominal GDP growth
fluctuates persistently with the shock, and it takes longer to return to the balanced growth
nominal GDP path.
Nominal and real rates fall in a recession.

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E FFECTS

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OF A SHOCK
1.06
1.02
1.04
1
1.02
0

5

10

0

quarters

5

10

quarters

1.4

1.06

1.2

1.04
1.02

1
0

5

quarters

10

0

5

10

quarters

F IGURE : Monetary policy responds to a decrease in aggregate productivity growth by increasing the
inflation rate in the period of the shock. Subsequently, inflation converges to its long-run
equilibrium value from below. The nominal interest rate drops in the period after the shock.
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Conclusions

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S UMMARY
Actual households have peak earning years, so they have to use credit markets to
smooth life-cycle consumption.
In this paper, we study a simple and stylized economy where these credit markets do
not work perfectly because of a friction called “non-state contingent nominal
contracting.”
The monetary authority can repair the distortionary effects of this friction by
conducting monetary policy in a manner recommended by Koenig (IJCB, 2013) and
Sheedy (BPEA, 2014)—nominal GDP targeting.
In doing so, the monetary authority restores the Wicksellian natural real rate of
interest, which is the real rate of interest that would occur if there were no frictions in
the economy at all.

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M ONETARY POLICY AND INEQUALITY

This policy works well for all households in this economy—young and old, rich and
poor—because they all face a life-cycle consumption smoothing problem.
Hence, we say that this is “optimal monetary policy for the masses.”
Does monetary policy affect inequality?
Relative to an incomplete-markets benchmark, the optimal monetary policy improves
consumption allocations, alters the asset holding distribution and alters the income
distribution by altering hours worked.

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