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C LASSIC P OLICY B ENCHMARKS FOR
E CONOMIES WITH S UBSTANTIAL
I NEQUALITY
James Bullard, Federal Reserve Bank of St. Louis
Riccardo DiCecio, Federal Reserve Bank of St. Louis

XXV Annual Conference of the Central Bank of Chile
“Heterogeneity in Macroeconomics: Implications for
Monetary Policy”
Nov. 22, 2022
Santiago, Chile
Any opinions expressed here are our own and do not necessarily reflect those of the FOMC.
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Introduction

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T HIS TALK
This is an academic talk that updates material that has been
presented previously, most recently in Minneapolis, October 15,
2021; London, March 23, 2021; and the Dow Lecture, February 9,
2021.
The present conference concerns the topic “Heterogeneity in
Macroeconomics: Implications for Monetary Policy.”
I want to use my opportunity for remarks to outline an argument
that the contribution of the central bank to optimal
macroeconomic policy may not be importantly altered by the
presence of heterogeneous households.
In particular, the central bank should still strive to achieve the
“correct” real interest rate for the economy, the “Wicksellian
natural real rate of interest,” just as in the standard New Keynesian
model.

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O UTLINE OF THE ARGUMENT
We construct a heterogeneous-agent economy featuring:
Three aggregate shocks: (1) total factor productivity, (2) labor
supply and (3) aggregate demand.
Both permanent and temporary idiosyncratic risk at the household
level.
A simple and symmetric structure.
Income, wealth, and consumption inequality on the same scale as
in observed economies.

We include four policymaking authorities: (1) monetary, (2)
fiscal, (3) labor market and (4) education.
We describe a competitive equilibrium in which the four
policymakers act in concert to attain a first-best allocation of
resources.

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CLASSIC VIEW

What is interesting for this conference on “Heterogeneity in
Macroeconomics” is that the policymaker roles are “classic.”
The monetary authority reacts to aggregate shocks each period in
order to achieve the Wicksellian natural real rate of interest for the
economy.
The fiscal authority raises revenue via a non-state contingent linear
labor income tax on all households.
The labor market authority runs an unemployment insurance
program.
The education authority minimizes the variance of
beginning-of-life human capital endowments.

Hence, the main result is that classic policy prescriptions can achieve
the first-best allocation of resources in this benchmark
heterogeneous-agent economy.
This result may be helpful in understanding somewhat more
complicated economies that deviate from this benchmark
including ones in the papers presented at this conference.
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S OME SURPRISING FINDINGS
The proposed classic policy recommendations appear broadly
similar to actual policies in place in many economies.
The monetary authority meets often and reacts to current
developments.
Simple linear labor income taxes set for the long run can be used
without distorting the labor supply.

The best policy combination drives the consumption Gini
toward zero but leaves income and financial wealth Ginis
substantially positive—suggesting that some observed income
and financial wealth inequality is due to life-cycle effects alone.
There are asset-rich and asset-poor agents with high marginal
propensities to consume (MPCs) as part of the optimal allocation
of resources.
The model has a paper-and-pencil solution despite the three
aggregate shocks and the idiosyncratic risk.

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Environment

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L IFE - CYCLE MODELS
We construct a general-equilibrium life-cycle economy with
“symmetry assumptions” which could be relaxed in a
computational exercise.
Each period, a new continuum of households enters the
economy, makes economic decisions over the next T + 1 = 241
periods (“quarterly”), then exits the economy.
As each agent enters the economy they are randomly assigned a
life cycle productivity profile that they will use for their whole
life.
We view this as a proxy for the human capital development that
takes place before age 20 in actual economies.
Related to Huggett, Ventura, and Yaron (2011, AER).

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B ASELINE LIFE - CYCLE PRODUCTIVITY
1.5

1

0.5

0

0

60

120

180

240

Quarters
F IGURE : A 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. A full model would include a set of
symmetric profiles with differing shapes.

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T HE MASS OF LIFE - CYCLE PRODUCTIVITY

F IGURE : The mass of endowment profiles with the scaling factor drawn from
a uniform distribution U [0.05, 1.95]. Drawing from a lognormal distribution
is harder to visualize, but such a distribution would include arbitrarily rich
and arbitrarily poor households. The endowment Gini is about 35%.

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A DDITIONAL IDIOSYNCRATIC RISK

Households can earn income in a competitive economywide
labor market by supplying hours along with the productivity
they have available at that date.
At the beginning of each period, each household may be
randomly unemployed.
The household earns no income from work on dates of
unemployment.
The unemployment probability is i.i.d. and uncorrelated with the
aggregate shock.

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N ON - STATE CONTINGENT NOMINAL CONTRACTING

There is a key friction in the credit market: non-state contingent
nominal contracting.
There are two aspects to this assumption.
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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Four Policymakers

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F OUR POLICYMAKING ENTITIES

There are four policymaking entities.
The monetary authority can observe the three aggregate shocks at
the beginning of date t and then set the price level P (t) .
The fiscal authority can set taxes on labor or capital income to raise
an exogenously specified fraction of available real output.
The labor market authority observes household-specific
unemployment shocks, sets taxes and provides household-specific
transfers.
The education authority can control the initial dispersion of
life-cycle productivity profiles by controlling the standard
deviation up to some limit σmin 0.

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T HE PROPOSED POLICY MIX

The proposed policy mix is as follows:
The monetary policymaker follows an NGDP targeting rule.
The fiscal authority sets a linear tax on all labor income earned that
is sufficient to meet its revenue requirement.
The labor market authority sets a linear tax on all labor income
earned that is sufficient to provide appropriate transfers to
unemployed households.
The education authority minimizes the dispersion of life-cycle
productivity profiles by setting σ = σmin .

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T HE W ICKSELLIAN NATURAL REAL RATE OF INTEREST
T HEOREM
Under the proposed policy mix, the real interest rate is exactly equal to the
stochastic aggregate output growth rate at every date and an
equal-treatment social planner that discounts at this rate will conclude that
this is a social optimum.

C OROLLARY (E QUITY SHARE CONTRACTING )
Any two households that share the same productivity profile consume the
same amount at each date, and consumption growth is equalized for all
households.

C OROLLARY
Desired labor supply over the life cycle depends on the shape of the
productivity profile alone.

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Characterizing the Policies

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P OLICY CHARACTERIZATION
Monetary policy, fiscal policy, and labor market policy are
relatively standard.
“Education policy” influences the productivity profile dispersion
parameter σ.
One could interpret this as an idealized insurance market that
operates before households enter the economy at age 20.
Limiting case: σmin = 0, all households receive the same profile.
This would be a “perfectly equal” economy in that the
talent/human capital distribution would collapse to just one
life-cycle pattern.
This would drive the consumption Gini all the way to zero.
However, the income and wealth Gini coefficients would remain
close to observed values—these are driven mostly by the life-cycle
structure.

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Characterizing the Equilibrium

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L ABOR INCOME

Households want to work more when they are in their peak
earning years in the middle of the life cycle.
This creates substantial labor income inequality.

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L ABOR INCOME MASS

F IGURE : Cross section: Labor income profiles with unemployment insurance.
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. The blue line depicts the limiting case σmin = 0.

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C ONSUMPTION MASS

F IGURE : Cross section: Schematic consumption mass (red) and labor income
mass (blue). Under optimal monetary policy, the private credit market
reallocates uneven labor income into perfectly equal consumption along each
productivity profile. The consumption Gini is 31.7%, similar to values
calculated from U.S. data. The solid lines depicts the limiting case with
σmin = 0.
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N ET ASSET HOLDING MASS

F IGURE : Cross section: Schematic net asset holding mass relative to GDP by
cohort. 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. The
blue line depicts the limiting case with σmin = 0.
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M ARGINAL PROPENSITY TO CONSUME
Consumption is linear in the real wage
ct,i (t + s) = ηξēw (t + s) .
Labor income is linear in the real wage
Y1;t,i (t + s) = ξes [1

`t (t + s)] w (t + s) .

Hence, the MPC can be calculated as follows:
MPC =

dc/dw
ηēξ
h
i =
=
dY1 /dw
es
es ξ 1 (1 η ) eēs

ηē
(1 η ) ē

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Y OUNG AND OLD AGENTS HAVE HIGH MPC
poor hand-to-mouth
8 consumers

wealthy hand-to-mouth
consumers

6
4
2
1
0
0

60

120

180

240

quarters
F IGURE : Cross section: Marginal propensity to consume out of labor income
by cohort. Notice that the MPC does not depend on the endowment scaling
factor, ξ.
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Inequality

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G INI COEFFICIENTS
Wealth
W

Y1

Income
Y2

Y3

51%

Consumption
C

U.S. data

80%

32%

Uniform

72.7%

56.1%

51.5%

59.5%

31.7%

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
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 σmin = 0 has GC = 0, but GW = 65.3% and GY = 44.3%. The model
can match any single Gini with a sufficiently large choice of σ.

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Conclusions

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C ONCLUSIONS
A classic combination of policies can deliver a first-best
allocation of resources in this environment even with substantial
inequality in income, wealth, and consumption.
A monetary policymaker provides period-by-period insurance
against aggregate shocks by conducting policy to achieve the
Wicksellian natural real rate of interest—the same as in a baseline
New Keynesian model.
This enables non-distortionary linear labor income taxes to fund
government expenditures as well as an unemployment insurance
program.
A perfectly executed “education policy” can drive the
consumption Gini toward zero but would leave income and wealth
Ginis at positive levels.

Bottom line: The nature of modern conceptions of optimal
monetary policy—“achieve the Wicksellian natural real rate of
interest”—would be unchanged even in this economy with
substantial income and wealth inequality.
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