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D OES A L OW-I NTEREST-R ATE
R EGIME P UNISH S AVERS ?
James Bullard
President and CEO

Applications of Behavioural Economics and Multiple
Equilibrium Models to Macroeconomic Policy
Conference

July 3, 2017
London, United Kingdom
Any opinions expressed here are the author’s and do not necessarily reflect those of the FOMC.

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Overview

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T HIS TALK
This is an academic talk, and the arguments presented here are
preliminary and theoretical in nature.
In the model presented here, household credit markets will play
an essential role in the economy.
There are no “sticky prices.” Instead, the key friction in the
economy is non-state contingent nominal contracting (NSCNC)
in household credit markets.
Monetary policy will be able to overcome this friction entirely by
using a version of nominal GDP targeting.
There will be a high-interest-rate and a low-interest-rate regime.
Under the optimal monetary policy, the allocation of resources
will be first-best in either the high or the low regime.
In this sense, a low-interest-rate regime will not be detrimental to
savers (or any other households).
I will discuss important caveats to this conclusion.

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Low Interest Rates and Saving

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L OW INTEREST RATES AND SAVING

Since the 2007-2009 financial crisis and recession, interest rates in
advanced economies have been exceptionally low compared
with postwar norms.
A criticism of monetary policy in advanced economies following
the crisis has been that the low-interest-rate regime has been
detrimental for savers.
I have been sympathetic to this criticism, but I did not have, nor
have I seen, an analysis that I thought got to the core of the issue.
I now have what I think is a better analysis, and it has tempered
my views on this issue somewhat.
This presentation sketches the argument and provides a list of
important caveats at the end.

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L OW INTEREST RATES EMPIRICALLY

F IGURE : Source: Federal Reserve Board, U.S. Department of the Treasury,
Bank of England, European Central Bank and Japan’s Ministry of Finance.
Last observation: June 26, 2017.

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Credit Market Friction

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T HE RETURN OF HOUSEHOLD CREDIT MARKETS

The 2007-2009 financial crisis increased attention on household
credit markets.
Could monetary policy be used to help keep household credit
markets working well?

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H OUSEHOLD CREDIT IN A DSGE MODEL

I study an economy with a large private credit market that is
essential to good macroeconomic performance.
This market has an important friction: NSCNC.

The role of monetary policy will be to keep this large credit
market functioning properly (i.e., complete).
When large and persistent negative shocks hit the economy, the
zero lower bound (ZLB) will threaten.
The monetary authority can maintain a smoothly operating
credit market even when the ZLB threatens.
I will not emphasize ZLB issues in this talk (see Azariadis,
Bullard, Singh and Suda, 2015).

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I NCOME AND WEALTH INEQUALITY

There is a lot of income and wealth inequality in this stylized
model.
The role of credit markets, if they work correctly, will be to
reallocate uneven income across the life cycle into perfectly equal
per capita consumption.
The model equilibrium will naturally rank the wealth Gini
coefficient as the highest, the income Gini coefficient as
somewhat lower, and the consumption Gini coefficient as the
lowest.

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H OW LARGE ARE THESE MARKETS ?

According to Mian and Sufi (AER, 2011), the ratio of household
debt to GDP in the U.S. was about 1.15 before it ballooned to
1.65 during the 2000s.
In today’s dollars, that would be equivalent to going from about
$19.5 trillion to about $28 trillion in household debt, comprised
mostly of mortgage debt.
Disrupting these markets might be quite costly for the economy,
so the NSCNC friction could be quite important.

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What I Do

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DO

Simple, stylized, endowment DSGE T-periods (quarterly)
life-cycle model of privately-issued debt, real interest rates and
inflation.
Privately-issued debt = “mortgage-backed securities.”
The economy has a large credit sector and a small cash sector. In
this paper, the cash sector ! 0.
Friction: NSCNC.

Aggregate labor productivity growth is the only source of
uncertainty. This will follow a regime-switching process.
Monetary policy can substitute for the missing state-contingent
contracts by choice of the price level.
Labor supply will be heterogeneous but independent of
monetary policy choices. For more on this, see Bullard and Singh
(2017).

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T HE MONETARY POLICY IMPLICATIONS

Optimal monetary policy is a version of “nominal GDP
targeting”—countercyclical price level movements.
The stochastic driving process has high productivity growth and
low productivity growth.
These will be associated with relatively high real interest rates
and relatively low real interest rates, respectively.
The optimal monetary policy will work well (perfectly) in either
the high- or the low-real-interest-rate regime.
In particular, savers will get as good an allocation as they can in
either regime—the low-rate regime does not “punish savers.”
These results may help inform the debate on monetary policy in
a low-real-interest-rate environment.

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Environment

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S EGMENTED MARKETS

Standard T-periods (quarterly) DSGE life-cycle endowment
economy with segmented markets. Any T 3 will work; I prefer
T = 241 (quarterly); odd values are convenient.
Households are divided into two types: “participants” in the
credit markets and “non-participants.” I set the non-participant
sector ! 0.

There are two assets in the model: privately-issued debt
(consumption loans) and currency. I set currency ! 0 (“cashless
limit”).
In this cashless limit, we can simply think of the monetary
policymaker as controlling the price level directly.

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P REFERENCES
All participant households entering the economy at date t have
log preferences with no discounting
T

Vt = Et ∑ [η ln ct (t + j) + (1

η ) ln `t (t + j)] ,

j=0

where η 2 (0, 1] , ct (t + j) > 0 is the date t + j consumption of the
household born at date t, and `t (t + j) 2 (0, 1) represents the
fraction of a unit time endowment devoted to leisure.
Households that entered the economy at previous dates have
similar preferences and carry a net-asset-holding position into
date t.
Other assumptions: Within-cohort agents are identical, no
population growth, no capital, no default, flexible prices, no
borrowing constraints.

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K EY FRICTION : NSCNC

Loans are dispersed and repaid in the unit of account—that is, in
nominal terms—and are not contingent on income realizations.
There are two aspects to this friction: (1) The non-state
contingent aspect means that real allocations will be perturbed
by this friction, and (2) the nominal aspect means that the
monetary authority may be able to repair the distortion.

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S TOCHASTIC STRUCTURE
Aggregate real output is produced as Y (t) = Q (t) L (t), where
L (t) is the labor input and Q (t) is the level of technology. The
technology improves at stochastic rate λ (t, t + 1).
Labor supply with η 2 (0, 1) will turn out to be independent of
the real wage.
The real wage w (t) is then given by
w (t + 1) = λ (t, t + 1) w (t) ,

(1)

where w (0) > 0.
I assume the mean of λ (t, t + 1) > 1, so that the economy grows
on average.
For sufficiently large, negative shocks to λ, the ZLB will threaten
and policy would have to respond (see Azariadis, Bullard, Singh
and Suda, 2015).

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R EGIME SWITCHING

I follow Bullard and Singh (IER, 2012, Section 2.4) to define a
two-state regime-switching process for λ.
There is a high-growth state with mean λH and a low-growth
state with mean λL .
Within each regime, there is additive noise described by σe (t),
where σ is a scale factor and e (t) i.i.d. N (0, 1).
A latent variable s (t) determines the regime and follows a
first-order Markov process.
The resulting process for λ (t, t + 1) can be written as an AR (1)
process with a nonstandard error term.

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T IMING PROTOCOL

At the beginning of date t, nature moves first and chooses
λ (t 1, t), which implies a value for w(t).
The policymaker moves next and chooses a value for the price
level, P (t).
Households then decide how much to consume and save.

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C OMPLETE MARKETS WITH NSCNC
For convenience, I assume a net inflation target of zero.
The countercyclical price level policy rule delivers complete
markets allocations:
P (t) =

Et

1, t)]
1 [ λ (t
P (t
λr (t 1, t)

1) ,

(2)

where λr indicates a realization of the shock.
This is similar to Sheedy (BPEA, 2014) and Koenig (IJCB, 2013).
Households will consume equal amounts of available production
in the credit sector. This is “equity share contracting,” which is
optimal under the homothetic preferences assumed here.
Consumption and asset holdings fluctuate from period to
period, but in proportion to the value of w (t).
This price level rule renders the households’ decision problem
deterministic because it insures the household against future
shocks to income.

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L IFE - CYCLE PRODUCTIVITY

All participant households are endowed with an identical
productivity profile over their lifetime.
The profile begins at a low value, rises to a peak in the middle
period of life, and then declines to the low value.
I assume the “low value” is bounded away from zero for this
talk.
Agents can sell productivity units in the labor market at the
competitive wage.
The productivity profile is symmetric.

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L IFE - CYCLE PRODUCTIVITY =

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CROSS SECTION

1 .0

0 .8

0 .6

0 .4

0 .2

50

100

150

200

F IGURE : A schematic productivity endowment profile for credit market
participants also represents the cross section of households at date t. The
profile is symmetric and peaks in the middle period of the life cycle. About
50 percent of the households earn 75 percent of the labor income in the credit
sector for η = 1.

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L ABOR INCOME CHANGES IN CROSS SECTION

1 .0

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50

10 0

15 0

20 0

F IGURE : How labor income changes across cohorts when the real wage
increases 10 percent for η = 1.

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Nominal Interest Rates

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N OMINAL INTEREST RATE

Participant households contract by fixing the nominal interest
rate one period in advance.
The non-state contingent nominal interest rate, the contract rate,
is given by
Rn (t, t + 1)

1

= Et

ct ( t )
P (t)
.
ct ( t + 1 ) P ( t + 1 )

(3)

This rate depends on the expected rate of consumption growth
and the expected rate of inflation.
In the equilibrium I study, consumption growth rates are the
same for all households, so this condition is also the same for all
households.

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S TATIONARY EQUILIBRIA

We let t 2 ( ∞, +∞).
We only consider stationary equilibria under the perfectly
credible policy rule governing P (t).
We let R (t) be the gross real rate of return in the credit market.
Stationary equilibrium is a sequence fR (t) , P (t)gt+=∞ ∞ such that
markets clear, households solve their optimization problems,
and the policymaker credibly adheres to the stated policy rule.
The key condition is that net aggregate asset holding, A (t), nets
out among participant households.

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Graphs

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N ET ASSET HOLDING
15
10
5

50

100

150

200

5
10
15

F IGURE : Net asset holding by cohort along the complete markets balanced
growth path with η = 1. 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
the life cycle (age ~65). About 25 percent of the population holds about 75
percent of the assets.

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C HANGE IN NET ASSET HOLDING

20

10

50

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200

10

20

F IGURE : How net asset holding changes by cohort when the real wage
increases by 10 percent when η = 1.

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C ONSUMPTION
1 .0

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F IGURE : Schematic representation of consumption, the flat line, versus labor
income, the bell-shaped curve, by cohort along the complete markets
balanced growth path with w (t) = 1 and η = 1. The private credit market
completely solves the point-in-time income inequality problem.

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C HANGE IN CONSUMPTION

1.0

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0.4

0.2

0

50

100

150

200

F IGURE : How labor income and consumption change by cohort when the
real wage increases by 10 percent with η = 1.

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H OUSEHOLD LABOR SUPPLY

F IGURE : Schematic hump-shaped labor supply and U-shaped leisure by
cohort under log-log preferences and interior solutions. Participant
households in peak earning years work more, and those at the beginning and
end of the life cycle work less, independent of consumption choices. The
vertical axis is percent of available household time per period.

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Complete Markets

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TARGETING

I have assumed a regime-switching process for productivity
growth in this paper, and this corresponds to high- and
low-real-interest-rate regimes.
In principle, this economy could be mired in the low-interest-rate
regime for a long time, depending on assumptions concerning
the persistence of the regimes.
Nevertheless, monetary policy can deliver first-best allocations
via the price level rule described earlier.
This occurs both within regimes and across regimes.
The policymaker is undoing the NSCNC friction and restoring
the Wicksellian natural rate of interest.
There is no sense in which savers are “hurt” in the
low-interest-rate regime (nor are borrowers “helped”).

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C AVEATS

The policymaker here is allowed to observe the shock and then
offset it with the appropriate setting for P (t). This is unrealistic,
but similar to baseline New Keynesian models in which
policymakers can appropriately offset incoming shocks.
The low-real-interest-rate regime is associated with a slower rate
of growth in real wages and real output. Households would
rather be in the higher growth regime in this sense. But the
productivity growth regime is taken as an exogenous process
chosen by nature here.
Monetary policy cannot switch the economy to the high-growth
regime, but it can conduct an optimal policy given the regime.
Monetary policy can be useful, but not so useful as to create high
real growth.

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C AVEATS

I focus on an equilibrium where the real interest rate equals the
output growth rate every period in the stochastic economy.
There may be other equilibria.
The policymaker and the private sector agents have rational
expectations, meaning they understand the nature of the
regime-switching process driving the economy. What if they had
a misspecified model in which they expected the economy to
return to a fixed mean? This may be occurring in actual
monetary policy.

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P OLICYMAKER PERCEPTIONS

F IGURE : Source: Federal Reserve Board and author’s calculations. Last
observation: May 2017.

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P RIVATE SECTOR PERCEPTIONS

F IGURE : Source: FRB of Philadelphia and author’s calculations. Last
observation: 2017-Q2.

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Conclusions

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C ONCLUSIONS

The desire behind many actual policy choices over the last
several years has been to help credit markets perform better.
This paper features a credit market that is essential to good
macroeconomic performance. The friction in the market is
NSCNC.
The credit market here can be interpreted as a residential
mortgage market—“mortgage-backed securities.”
Monetary policy can alleviate this friction and restore the smooth
functioning of the credit market.
This policy result remains even if the economy switches
infrequently between high- and low-real-interest-rate regimes.

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UNNATURAL REAL INTEREST RATES

Here the monetary policymaker can restore the first-best
allocation of resources by moving the price level to achieve the
Wicksellian natural real rate of interest for the economy, with the
natural rate itself fluctuating according to a regime-switching
process.
This analysis can provide a good baseline for thinking about the
current situation in advanced economies if low real interest rates
can be mostly attributed to factors exogenous to monetary policy.
However, if low real interest rates are attributed to monetary
policy itself (as many critics no doubt would argue), then it may
be the case that those rates are distortionary and could hurt some
segments of society. That could be analyzed here, say by having
the policymaker set the “wrong value for P (t)” each period.
That would require a computational solution as opposed to the
pencil-and-paper solution used in this talk.

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