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T HE N EXUS B ETWEEN I NEQUALITY
AND M ONETARY P OLICY
James Bullard, Federal Reserve Bank of St. Louis

CEBRA 2021 Annual Meeting
Central banking after the pandemic: The challenges
of inequality and inclusive growth
July 8, 2021
Any opinions expressed here are my own and do not necessarily reflect those of the FOMC.

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Introduction

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I NEQUALITY AND MONETARY POLICY

Can monetary policy be conducted in a way that benefits all
households even in a world of substantial heterogeneity?
The answer in this talk is “yes.”
Main point: The established academic advice to monetary
policymakers (e.g., Woodford, 2003) to try and maintain the
“Wicksellian natural real rate of interest” continues to hold in an
economy with substantial inequality in consumption, income
and financial wealth.

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T HIS TALK IS BASED ON A PAPER
Bullard and DiCecio (Working paper, St. Louis Fed, 2019):
“Optimal Monetary Policy for the Masses.”
DSGE model including a nominal friction, aggregate shocks to
demand and productivity, heterogeneous households, and
empirically relevant Gini coefficients for consumption, income and
financial wealth.
Optimal monetary policy acts to establish the Wicksellian natural
real rate of interest just as in the standard New Keynesian model.
In these remarks, I will omit details and focus on the implications
for inequality.
Those interested in more details should consult the paper.
See also our slide deck “Classic Policy Benchmarks for Economies
with Substantial Inequality.”

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O UTLINE OF THE ARGUMENT
In the model, the fundamental drivers of inequality are a
hump-shaped pattern of productivity over the life cycle along
with different levels of education for households within a cohort.
All households, rich and poor, need to use credit markets to
smooth consumption.
There is a nominal friction in the credit market (non-state
contingent nominal contracting, NSCNC).
The central bank can overcome this nominal friction by adjusting
the real interest rate appropriately in response to aggregate
shocks.
A welfare theorem states that the allocation of resources under
this monetary policy is first-best.

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Environment

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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 assigned a personal productivity profile 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. There will be
many of these, as discussed below.
Productivity units determine the value of an hour worked in a
competitive labor market.

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Life-Cycle Productivity

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L IFE - CYCLE PRODUCTIVITY PROFILES
Households entering the economy draw a lognormal scaling
factor and receive a life-cycle productivity profile, which is a
scaled version of the baseline profile.
A lognormal endowment scaling creates an economy with
arbitrarily rich and poor households.

Life-cycle productivity profiles, once assigned, are deterministic.
This process is a stand-in for the human capital development
that takes place before age 20 in actual economies, including
schooling, parenting and any pre-age 20 job experience.
Huggett, Ventura and Yaron (AER, 2011) argue that differences in
initial conditions are more important than differences in shocks
for lifetime earnings.

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B ASELINE LIFE - CYCLE PRODUCTIVITY
1.5

1

0.5

0

0

60

120

180

240

Quarters
F IGURE : Baseline endowment profile. The profile is symmetric and peaks in
the middle period of the life cycle.

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T HE MASS OF LIFE - CYCLE PRODUCTIVITY

F IGURE : The mass of endowment profiles. The endowment scaling factor is
drawn from a uniform distribution for ease of visualization.

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Characterizing the Equilibrium

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H OURS WORKED OVER THE LIFE CYCLE
1

0.5

0
0

60

120

180

240

quarters
F IGURE : Cross section: Leisure decisions (green), labor supply (blue) and
fraction of work time in U.S. data, 19% (red). The labor/leisure choice
depends 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 32%, similar to values calculated from U.S. data.

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N ET 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
of life 180 (age ~65). The financial wealth Gini is 72.4%, similar to values
calculated in U.S. data.

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Inequality

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G INI COEFFICIENTS
Consumption
C
U.S. data†

32%

Model

32%

Y1

Income*
Y2

Y3

51%
55.7%

51.1%

Wealth
W
80%

59.0%

72.4%

TABLE : Gini coefficients in the U.S. data and in the model with lognormal
productivity.
* Y1 , Y2 and Y3 denote labor income, labor income plus non-negative capital
income and non-negative total income.
† U.S. data: consumption (Heathcote, Perri and Violante, RED, 2010);
pre-taxes/transfers income (CBO, 2016); financial wealth (Davies,
Sandström, Shorrocks and Wolff, EJ, 2011).

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Monetary Policy and Inequality

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A DDITIONAL FEATURES

The stylized model can accommodate additional features.
For details, see the slide deck “Classic Policy Benchmarks for
Economies with Substantial Inequality.”
That deck describes the addition of (1) unemployment risk at the
household level, and (2) taxation to fund a government.
A labor authority then runs an unemployment insurance
program, and a fiscal authority collects appropriate taxes to fund
the government.
These changes do not alter the recommended monetary policy.

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M ONETARY POLICY AND INEQUALITY
The stylized model can generate inequality in consumption,
income and financial wealth on the same scale as the U.S. data.
There is a large natural credit market in the model and all
households wish to use this market.
The monetary policymaker can overcome the credit market
friction (NSCNC) with an appropriate monetary policy and
achieve the best available allocation of resources.
Bottom line: There is a “correct” real interest rate in this
economy that the monetary authority needs to achieve—the
Wicksellian natural real rate of interest.
The optimal monetary policy can be conducted even in the
presence of substantial inequality.

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P RACTICAL POLICY CHARACTERIZATION

The optimal monetary policy in the model is not difficult to
characterize in practical terms.
It is a version of nominal GDP targeting, which is itself closely
related to price level targeting.
Recent changes in the U.S. monetary policy framework have
moved policy closer toward this ideal.

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D RIVERS OF INEQUALITY

In the model, as in the data, productivity over the life cycle plays
an important role in determining income and financial wealth for
different households at a point in time.
In addition, household earnings are shaped to a large extent by
human capital accumulation before age 20, which is “before
entering the model” here.
In the “Classic Policy Benchmarks” deck, there is an “education
authority” which can control the dispersion of
beginning-of-the-life-cycle human capital.
This is an interesting area for further research.

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G INI COEFFICIENTS
1

0.653
0.5
0.443

0
0

0.5

1

1.5

2

2.5

3

3.5

F IGURE : As the dispersion of productivity profiles, σ, increases, the Gini
coefficients increase. The ordering GW > GY > GC is preserved. The case
where σ = 0 is the social optimum and has GC = 0 but GW = 65.3% and
GY = 44.3%. The model can match the wealth Gini in the data with a
sufficiently large choice of σ.

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Conclusions

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S UMMARY

This paper attributes observed levels of U.S. inequality to
life-cycle effects in conjunction with heterogeneous life-cycle
productivity profiles.
All households in this model, regardless of their assigned
life-cycle productivity profile, face a problem of smoothing
life-cycle consumption in a world with a credit market friction.
The monetary authority can remove this impediment to life-cycle
consumption smoothing for all households: “optimal monetary
policy for the masses.”