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This is a preprint of an article published in The Journal of Money, Credit, and Banking, v. 21, iss. 3,
pp. 273-90, copyright 1989 by the Ohio State University Press. All rights reserved. Reprinted with permission.

Working Paper 87-5
MONETARY CONTROL UNDER ALTERNATIVE OPERATING PROCEDURES

Michael Dotsey

Federal Reserve Bank of Richmond

October 1987

I-have benefitted from the comments of Robert Hetzel, Robert G. King, and
Bennett McCallum. The views expressed in this paper are solely those of the
author and do not necessarily reflect the views of the Federal Reserve Bank of
Richmond or the Federal Reserve System.

1.

Introduction

This paper provides a detailed examination of various money stock
control procedures in a rational expectations environment.

The analysis

investigates the relative efficiency of controlling a monetary aggregate
through the use of an interest rate instrument or through various reserve
measures under both lagged and contemporaneous reserve requirements.

A major

result is that borrowed reserve targeting is not necessarily equivalent to a
noisy interest rate instrument. Further, it is possible that borrowed
reserves can represent a more efficient control procedure than an interest
rate instrument.

However, total reserve targeting under contemporaneous

reserve requirements generally provides the most efficient control of money
and the lowest variability of prices and output.

However, total reserve

targeting also implies higher interest rate volatility, which may be one
reason why the Fed has never adopted this procedure.
The conclusion that borrowed reserve targeting is not unambiguously
worse than an interest rate instrument is different from that derived by
McCallum and Hoehn (1983) and results in part from the incomplete description
of the market for reserves used in their paper.

Their paper does, however,

provide the basic framework employed below, and represents a useful first
attempt to analyze the effects of various monetary control procedures in a
well posed rational expectations macro model.

By incorporating a more

developed model of the reserve market, this paper shows that their conclusion
only occur for a specific stochastic specification of shocks and a particular
information structure.

In a more general setting that includes a detailed

treatment of bank behavior in the reserve market their results may not be
robust.

Specifically, if monetary disturbances have some permanence, and

- 2banks trade in the federal funds market based on information contained in the
current funds rate and private observations on their own portfolio, then
borrowed reserve targeting may not be inferior to an interest rate instrument.
Using an interest rate instrument destroys an important source of information,
which adversely affects the variances of money, output, and prices around
their expected value.

The effects of the information loss are analogous to

the results found in Dotsey and King (1983, 1986) in slightly different
contexts.

The use of borrowed reserve targeting may therefore involve a

tradeoff between the more efficient procedure of total reserve targeting and a
concern for the volatility of interest rates.
The structure of the paper is as follows.
macroeconomy is described.

In Section 2 the basic

Section 3 analyzes the various operating

procedures and compares the variances of money, interest rates, the price
level, and output under alternative procedures.

Since attention is commonly

given to the monetary control properties of operating procedures, the paper
emphasizes this aspect.

Section 4 presents a numerical comparison of the

various variances and Section 5 briefly summarizes the paper.

2.

The Macroeconomic Model

The macroeconomic model used in this paper is essentially that of
McCallum and Hoehn (1983) with the exception that lagged output is omitted
from the aggregate supply relationship. This omission simplifies some of the
algebra without affecting the qualitative nature of the results.

All

variables, with the exception of the nominal interest rate rt, are in
logarithms.

- 3 s and aggregate demand, yt,
d are given
The log of aggregate supply, yt,
by:

( 1)

yS

(2)

d

=

aI (pt - Et-

at
0

-

ad(r

ai r

Pt

+ Pt

t

+ ut

E+

Et-I P t+

+

w

where Pt is the log of the price level, rt is the nominal interest rate, and
Et1 represents the expections operator conditional on the information set
It1+

This set is assumed to contain all information pertaining to variables

dated t-1 and earlier, including past values of all disturbances. This
notation is used because it will be important to distinguish between the
information sets I

and It where It = It 1 plus the current interest rate, and
t t
t-+ plste urntitretrte
n

information specific to individual banks.
the aggregate disturbances.

It does not include knowledge of

The disturbances u and w are serially and

mutually uncorrelated normally distributed random variables with mean zero and
variances a2 and ay

respectively.

The real side of the model given by (1) and (2) represents a basic
and fairly popular macroeconomic representation of an economy possessing
natural rate properties.

It will therefore only be discussed briefly.

Equation (1) indicates that aggregate supply responds positively to
unanticipated price level movements while equation (2) implies that aggregate
demand is negatively related to the expected real rate of interest.

For

simplicity, the definition of a period corresponds to the length of the
reserve maintenance period.'
The log of the real demand for money,
income and negatively on the interest rate.

t, depends positively on

It is also affected by a

- 4 -

disturbance term vt = Pvt

+ etwhere et is an independently normally

1

2
distributed random variable with mean zero and variance a .

Therefore, the

money demand disturbance has a degree of permanence, a property that is often
emphasized in Federal Reserve literature.

The permanence in the money demand

shock may be due to technology type shocks to cash management.

As indicated

later in the paper some avenue for generating persistance is necessary for the
existence of a nontrivial comparison between operating procedures.

Putting

persistance in the money demand shock is merely the simplist way to proceed.
Formally,

(3)

mt

-

Pt = c0

- Cr

+ c 2 yt + vt

Equations (1), (2) and (3) summarize the economy.

As in McCallum and Hoehn

they are assumed to be invariant to the form of the policy rules considered in
this paper.

3.

The Effects of Various Operating Policies

Three basic policies will be analyzed:

an interest rate instrument,

a borrowed reserve target, and a total reserve target.

It will also be shown

that a non-borrowed reserve target under lagged reserve requirements amounts
to a noisy borrowed reserve target.

The effects of the first two policies are

independent of the reserve accounting regime while the results for targeting
total reserves is not.

Therefore, total reserve targeting regime will be

analysed under both lagged reserve requirements (LRR) and contemporaneous
reserve requirements (CRR).

The investigation emphasizes the variability of

money and interest rates, but a complete description of the results which
includes output and price level variability is contained in Table 1.

- 5 -

3a.

An Interest Rate Instrument

The effective use of. an interest rate instrument in a rational
expectations model was first examined by McCallum (1981), and the following
analysis is based on his work.

In order to hit some money target mt, the

monetary authority at the end of period t-1 decides on an interest rate that
* 2*
Rearranging (3) gives the targeted interest rate rt
is expected to yield mt
as

*

Y = .
where E+
t-1 t

+*

+

1

=-(c

r

(4)

+ PV

Et
Pt + c2 E_

+E

m

-

m
Pegging rt at rj implies that E+
t-1 Mt

=t

'

t-

The actual

realization of the monetary aggregate will not in general equal mt due to the
Using (1) and (2) to solve

contemporaneous disturbance terms in the model.

for Pt and yt, (see appendix), it can be shown that

+

+

Pt

a1

~Etl Pt =(/ai)(ut - wt) and yt
d
s
a1 + a1 .

(5)

Mt

-

Et-1 yt

Substituting into (3) yields

Mt

m1 wt - m2

ut + et

and that

*2

(6)

where m1

E (mt - it)

2
ml a

(1+c2 a7)/a1 and m2

2

2

+ M2 a

2

+ a

2

(1-c2 ad)/a.

=

d
s
(1/a1 )(aiut + a wt) where

- 6 One notes that this procedure of monetary control circumvents any particular
specification of the market for reserves making it insensitive to both the
accounting regime (LRR or CRR) and discount window operations.

3b.

Borrowed Reserve Targeting

The implementation of borrowed reserve targeting also works off the
interest rate, but in a less direct manner than an interest rate instrument.
The monetary authority estimates the expected level of borrowing that is
consistent with achieving the interest rate, rt, in (4).

This implies that

the targeted level of borrowing is consistent with achieving an expected value
*

of money of m .
The demand for borrowed reserves is therefore an important
consideration in designing a borrowed reserve targeting scheme.

Based on the

work of Goodfriend (1983) a log linear approximation that captures the
essential characteristics of his demand for borrowed reserves equation can be
written as:

(7)

br (z) = b + b r
t
0~
1 t

b
2

Eztrt+1

-Er
b br
z
3 t 1 (z

+b

bt~

where brt (z) is the log of borrowed reserves demanded by bank z, b t(z) is an
idiosyncratic shock to borrowing equal to an economy wide average shock to
borrowing, bt, and a bank specific shock,

t (z).

Both bt and

t (z) are

independently normally distributed random variables with means zero and
variances a2 and a2 respectively.

The conditional expectations operator Ezt

is based on the beginning of time t information held by banks trading in the
federal funds market and is assumed to include I

1 and rt in addition to

- 7

observations on bt(z) and movements in the bank's own deposits.
therefore assumed that banks observe mt(z) = mt + st(z) where

It is

t (z) is bank

specific demand for money disturbance that is independently normally
distributed with mean zero and variance a 2
The demand for borrowed reserves by banks is based on the non-price
Implicit in the

rationing scheme invoked at the discount window.

specification of (7) is the assumption of a constant below market discount
rate.3

Banks are only allowed to borrow a certain number of times per quarter

and face non-pecuniary costs based on their history of borrowing.

Therefore,

if banks have borrowed a lot in the past their demand for current borrowing
will be less.

Also, if the current interest rate is high, implying a large

discount window subsidy, desired borrowing will rise, while if the expected
future rate is high banks will postpone borrowing in order to take advantage
of the future subsidy.
Aggregating (7) across banks yields:

(8)

b2 Eztrt+

brt = b0 + birt

-

t

b3 brt_

where the bar over E t indicates the average of all banks expectations.
+

*

Consistent with Etirt = rt and therefore Et
borrowing level of:

(9)

brt =b

0

+ b1 rt - b 2 Et_lrt+, - b 3 br t

m

=

m

*

is an aggregate

- 8 -

Therefore, the monetary authority will allow the current interest rate to
fluctuate in order for actual borrowing to equal br .

Equating (8) and (9)

gives the interest rate rt that results from this procedure.

(10)

= rt +

r

*

t tztt+

2

w-(E trt+

+

Et-r

_r1l

1

Fb

I1

The nature of this policy has led to the observation that borrowed
reserve targeting constitutes a noisy interest rate peg.

The fluctuations in

the interest rate in some sense allow the monetary authority to claim that it
does not control interest rates, and that interest rates are market
determined. This is no doubt one of the political reasons that makes this
type of policy attractive. However, the introduction of noise in the interest
rate does not necessarily imply an inferior monetary control procedure, nor
does it imply greater variability in output or prices.
The expected value of the squared deviation of money from its target
is given by:

(11)

E (m

-

m) = [1-(c +adm )(b2 1b )e l

+

where 0 <

t

<

(1-p)2 [m2a2 + m2 a24a2]

(cl+ adm )(6/b (e-0))] a b2

e < 1 reflect weighted averages of the various variances a 2el' a2
C.

a2 and a02 arising from the signal extraction problem faced by banks in the
federal funds market (see appendix).

- 9 -

Comparing (11) to (6), one observes that the relative efficiency of
monetary control between the interest rate instrument and a borrowed reserve
target depends on the size of the coefficient multiplying m1lo
the variability of the demand for borrowed reserves.

+ m2a2+a2 and

This coefficient is less

than one and reflects the value of the information contained in the interest
rate under borrowed reserve targeting.

Similar terms appear in the

expressions for price level and output variance in Table 1.

Using reasonable

parameter values, the analysis of Section 4 indicates that borrowed reserve
targeting is approximately equivalent to an interest rate instrument in term
of the efficiency of monetary control.
Theoretically, there is a possibility for borrowed reserve targeting
to improve monetary control if the effect that a shock has on the interest
rate partially offsets the direct effect that the shock has on the demand for
money.
E+

For this to happen, there must be a postive covariance between (r

-

r ) and et, wt. and out, which is the case.

t-It

Some intuition can be obtained by examining the case of a money
demand disturbance. Because there is some persistance to the money demand
disturbance (O < p < 1), next period's interest rate is influenced by the
current disturbance. Therefore, when agents in the funds market have
sufficient information to partially discern the disturbance, today's demand
for borrowing will be influenced by the current money demand shock.

In the

case of a partially perceived positive shock, banks will expect next periods
interest rate to rise and reduce their demand for current borrowing.
to induce banks to borrow brt the current interest rate must rise.

In order

The rise

in the interest rate will reduce the demand for money and generally result in
mt deviating less from m .

-

10 -

2
One observes that for p equal to 0 or 1 that the coefficients on aw,
2
2
a , and ae in (11) are identical to the values given in (6), and that (11) is,
therefore, equal to (6) with an additional term involving ab2

In these two

cases the borrowed reserve targeting approach is unambiguously worse than the
interest rate peg, which is basically the result derived by McCallum and Hoehn
(1983).

The reason is that in both these cases the money demand disturbance

does not influence the interest rate and there is no offsetting effects
arising from the covariance between rt

-

rt and the various shocks on

E(mt-mt)
In the case where p=O, this period's money demand disturbance will
not affect rt+i and hence will not affect Eztrt+i.

This implies that current

shocks (other than bt) will have no effect on today's demand for discount
window borrowing and therefore no effect on r .
The result for p=l is a little less straightforward and arises
because with p=l past money demand disturbances have no effect on the value of
rt.

This is because the movement in Et iPt due to vi

direct effect that v t1 has on rt.

exactly offsets the

Hence, the current money demand

*

disturbance does not change rt+1 and does not shift the current demand for
borrowed reserves.

This implies that there is no change in rt.

That this is

the correct solution can also be seen by examining equilibrium in the output
market.

Past permanent positive shocks to the demand for money, vt1' cause

the entire path of the price level to shift down one for one.
in the inflation rate occurs.

Thus, no change

Since vt1 is part of the information contained

in It 1' aggregate supply is unaffected.

Because there is no change in

inflation, aggregate demand will be unaffected only if rt is unaffected.
Therefore, for the goods market to clear past money demand disturbance cannot
influence the interest rate.

-

11

-

The condition that 0 < p < 1 is necessary for a money demand
disturbance to have any effect in the above case is somewhat particular to
this model.

More generally, it is only required that money demand

disturbances affect output and that these disturbances be propagated through
time.

A propagation mechanism such as the addition of a lagged output term in

the aggregate supply equation would not be sufficient in this model since a
white noise money demand shock would not affect output when the interest rate
is either directly or indirectly targeted.

In a model such as Barro (1980),

an interest rate peg, and therefore a borrowed reserve targeting procedure,
does not remove the effects of a white noise money demand disturbances on
output (see Dotsey 1986).

This means that in such a model one would only need

heterogeneity of information among banks and some general propagation
mechanism for borrowed reserve targeting to potentially outperform an interest
rate instrument.
Further, in the model employed above, even when 0 < p < 1 banks must
possess some idiosyncratic information regarding the money demand disturbance
for economic disturbances to cause any movement in the interest rate.

This

occurs because disturbances only affect the current interest rate through the
expectational channel

(E

+
r
- Et
zt t+1
t

r

+

).

If banks have no direct observa-

tion of et through mt(z), then the interest rate will be unaffected by et and
will not communicate any information regarding et.

This is because with no

heterogeneity of information it is clear from (10) that observing the interest
rate will only convey this period's borrowed reserve demand shock.

Thus, the

two condtions of 0 < p < 1 and some direct (although perhaps imperfect)
observation of et are needed for borrowed reserve targeting to outperform an
interest rate instrument. These two conditions, however, do not seem

-

12 -

unreasonable since banks can probably infer something about et by examining
movements in their own deposits and most empirical studies on money demand
indicate that the disturbance term is positively autocorrelated.

3c.

Non-borrowed Reserve Targeting (LRR)

Under lagged reserve requirements non-borrowed reserve targeting can
be shown to be inferior to borrowed reserve targeting and essentially reduces
to a noisy borrowed reserve targeting approach.

The targeted level of

non-borrowed reserves is set so that it plus the expected level of borrowed
reserves is equal to the level of required reserves plus the expected level of
*

*

excess reserves consistent with rt.
*

+

*

That is NBRt + BRt =

t 1+ E

IERt

*

where NBRt, B,

ERt, and Mt_, are the unlogged levels of targeted

non-borrowed reserves, targeted borrowed reserves, excess reserves, and last
periods money balances, while X is the required reserve ratio.

Taking logs

and linearizing around the unconditional means, NER, BR, ER, and M, yields:
(12)

*

nbrt = d

+

+ d mt-1 + d2Et_,er-

3

*

t

where small letters indicate the logarithm of the relevant variable and

d1

=

M/NBR, d2

do = log (NBR)

ER/NBR, d3 = BR/NBR and

=

-

d 1 log(M) - d2 log ER + d3 log BR

The derived demand for non-borrowed reserves is
(13)

nbr d = d
t

0

+d m

1 t-1

+ derd - dbrd
2 t
3 t

-

13 -

Assuming that there is some white noise control error, nt, in supplying
non-borrowed reserves that is due to unanticipated changes in other sources or
uses such as float or treasury balances, the supply of non-borrowed reserves
will be nbr

+ nt.

Equating the supply and demand for non-borrowed reserves

implies that

(14)

brt

=

brt+ (d2 /d3 ) (ert -Et jert) - (1/d3) n

If excess reserve demand is interest insensitive (which empirically seems to
be the case under LRR and subsidized discount window borrowing), then (14)
reduces to borrowed reserve targeting plus some additional variability.

3d.

Total Reserve Targeting (LRR)

The case for total reserve targeting under lagged reserve
requirements essentially amounts to excess reserve targeting.

The demand for

total reserves is equal to the sum of predetermined required reserves plus the
d
demand for excess reserves, XMtI1 + ERt.

The Fed will set its target for

total reserves at a level that is expected to clear the reserve market at r .
where ERt is the expected demand for excess reserves

Hence TRt = XMt 1 + ERt
*

*

With no control error affecting the supply of

consistent with rt and mt.

total reserves, the interest rate in the current period will be that rate
which yields ER

= ER

.

control error, T t (where

In the presence of a proportional total reserve
T tis

in percentage terms and is independent normally

distributed with variance a 2), then the interest rate will be determined from
T

the equilibrium condition

- 14 -

(15)

erdt

where Et

ert +

=

ER/(XM

weeEt

t-1

(l/e t)

Tt

+ ER) and small letters refer to natural logarithms.

If excess reserves are interest insensitive, then there is no
conceivable way of implementing total reserve targeting with LRR, since
current interest rate movements have no effect on the demand for total
reserves.

Alternatively if the demand for excess reserves was expressed as

ERd = e(r )M , as is done in the money multiplier approach to money supply,
t

t

t

where e(r) is a general functional form, then a log linear approximation of
excess reserve demand implies that

d
ert

(16)

e0

e1 rt + xt + mt

where xt is an independent normally distributed random disturbance with
variance ox that affects the demand for excess reserves.
x

The setting of er

t

will then be

(17)

ert =e

e1 rt + mt

and reserve market equilibrium implies that

rt

(18)

r

+
t e

(m

-

m

t

) + - (X

t

eI

(1/C

t

t

)t

t

Using equation (1), (2), and (3) along with (18) implies that
(19) E(m

t

-

* 2
t

m)

222 2

22

2

d

2

2

(e /6) [m Cy+ m a + ar I + [(c + a m)/63 [a +
1
1w
2u
e
1
11
x

Wec

22
t

a I
'r

- 15 -

where 6 E e1 + c1 + adm1 .

In general, comparing the variance of money control

errors under total reserve control, the peg, and borrowed reserve control will
involve relative sizes of parameters and variances. However, one observes
that (ie t) is a rather large number (generally larger than 40) and that the
proportional variation in excess reserves is large relative to the other
variances in the model.

Therefore, total reserve targeting under lagged

reserve requirements will be an inefficient method of monetary control and
will produce excessive volatility in prices, output, and interest rates.
The results given in (19) do not match up with those of McCallum and
Hoehn.
from ER

However, if the demand for excess reserves is assumed to be of the
d
t

= e(r )M
t

d

assumption ert
that r

(20)

t-1

then their results can be obtained.

eOe 1rt

= t r t + ~~I
(1/e ) (x t

E(m-mt)

=

m2a

xt+ mt_, and ert
-

Under this

*

e-e1 rt + m

This impli

(liet)
T ) and that
t
t

+ m2 aC

+ a

+ [

] (a

+ (liet) a)

which is essentially their result.

3e.

Total Reserve Targeting Under (CRR)

The ability to control the money supply under total reserve
targeting is sensitive to the reserve accounting regime in use.

It will be

shown that total reserve targeting is likely to produce better control of
money and lower output and price level variability.
Under total reserve targeting and the assumption that ER

d
t

= e(r )M
t

the monetary authority will attempt to supply total reserves, TRt. equal to

t

- 16 *

*

t

t

In reality, reserve control is not perfect and total reserve

(X+e(r ))M .

supply, TRt, will be TRS = (1+T t)TRt where

Tt

is a proportional error

Taking a log linearization of total

affecting the supply of total reserves.
reserve supply implies that

*

*

tr5 = e -se r + m
t
it
0
t

(21)

+

t

t

where e = (ER/TR) and tr5t is the log of total reserves supplied.
Using the accounting identity that total reserve demand equals XMdt +
Ed implies that
ERt

d
trt

(22)

d
e 1 rt+ ex t +mt

e0

Equilibrium in the reserve market yields

**
d
Mt =mt + Ee(rt-rt)

(23)

EXt + t

Employing (3) and the fact that mt = Et_mt and rt = Et1rt gives

rt

(24)

=

rt + (1/6 )[m1wt - m2 Ut + et

~~~~d

*

In deriving (24) use was made of the fact that

where 6 = c1 + ee1 + a mI.

p

- E+

p

t t-1
t

=

-(ad/a )(r

*(5/~~~

1

(r -r ) + (as/a )w

*

1

t

t

y
ad ~t
~ 1 and

) + (w -ut)/a

d
+ (a /a )U

(rt-rt) + miwt-m2 ut+et.

+ Cx ]

t

t

tE+

(a

t -lyt
~y

*d
d
which implies that mt = mt

1a/a1I~~~~~~~~~~~~~~~~~~~~~

I I

-

(c +a m1 )

- 17 -

Using (23) and (24) yields the efficiency expression for monetary
control under total reserve targeting.

(25)

*2

E(m

- m)
t
t

1e1
2
2
2
d )
e~2
ce1+c+adm
~e 1w
1
1 1

= (_

2

+

c1+a11m
2 2 2
d ) (E a
ee+c +adm
1
1
1 1

2

).

This expression is similar to the expression given in McCallum and Hoehn
(1983) and implies that total reserve targeting is likely to be the most
efficient procedure.

The first term captures the money supply miss that is

due to a proportional shift in excess reserve demand initiated by disturbances
that effect the demand for money.

Since excess reserves are fairly

insignificant (£ is close to zero), control errors from this source will not
be important.

The last term reflects the consequences of proportional shocks

to total reserves supplied and these shocks essentially have a one for one
effect on monetary control misses.

Since the Fed should be fairly good at

hitting its total reserve target this approach to monetary control will be the
most efficient.

Along with better control of money, total reserve targeting

is also likely to reduce output and price level variability.

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-

4.

19

-

A Numerical Comparison

As indicated in the discussion in Secion 3, the consequences of
adopting different operating procedures depends on the parameter values and
the variances of the disturbance terms.

In this section the variances of

money, interest rates, the price level, and output are analyzed for plausible
parameter values and relative sizes of the various variances that conform with
casual empirical evidence.

The results of this experiment are that total

reserve control under CRR produces the lowest variability in money, prices,
and output, but leads to relatively high interest rate volatility.

Also, the

difference between an interest rate instrument and borrowed reserve targeting
appears to be insignificant.
Following the evidence in Hall (1986) regarding the intertemporal
elasticity of consumption, the elasticity of aggregate demand is assumed to be
d
small with a=.20.
1.0.

5

Using evidence in King and Plosser (1986), a1 is set at

The interest elasticity of the demand for money is taken to be .10,

implying that c =1.0 for interest rates that average ten percent, while the
income elasticity of money demand is assumed to be 1.0.

The first order

regressive coefficient in the money demand disturbance is set at .5.
are assumed to be twice as responsive as the public in seeking funds.

Banks
Coupled

with the fact that the correct interest elasticity is in terms of the interest
rate--discount rate spread implies that b =10.0.6
1

It is further assumed that

banks have a greater response to the current spread than they do the expected
future spread and b2 /b1 is set at .75.

With respect to excess reserve demand

eI=1.0 (the same as money demand) and C=ER/TR=.01.

The qualitative results,

also, do not appear to be overly sensitive to the parameter values, especially
with respect to b2 , e1 , and C.

Values of al as high as X (no price level

- 20 -

1
movements within a period), and ad
as high as 1 did not affect the results,

although I am sure that given unlimited freedom one could derive a different
ranking of the operating procedures.7
Approximating the size of the relative variances is less firm than
postulating reasonable parameter values and the sensitivity of some of the
assumptions will be discussed when interpreting the result.

With little

evidence regarding the comparative variability of output supply, output
demand, and money demand disturbances, all of these variances were set equal
2
to a common value, a .

2
2
To rank the relative sizes of ae, ab

a

2
,

2.

ax, it was

assumed that 95% of all money disturbances were no larger than 1% of the money
stock, implying that 95% of all unexpected movements in Ml would be less than
approximately $7 billion in absolute value.

Regarding the other disturbance,

95% of the disturbances to borrowing were expected to be less than 5% in
absolute value of the average level of borrowing, 95% of the excess reserve
disturbances were assumed to be less in absolute value than 50% of the average
value of excess reserves, and 95% of the total reserve control errors were
assumed to be less in absolute value than 1% of total reserves.
2

2
e

2
x

2
e

The

2 2
.
T
e

assumption of normality implies that a =2 5 a , a =2500a , and a =a

b

deriving e, and

¢

the assumptions that a =Ca2 and a=b were used.

In

Although

there is a great deal of latitude in the values that can be assumed for the
relative variances, total reserve control remained the most efficient
procedure under a wide range of variances, while the ranking between borrowed
reserve targeting and an interest rate instrument is sensitive to the relative
2
2
sizes of ab and a
Under the above assumptions, 83= 192 and (8-4)/p=1.0.
values of the relevant variances are depicted in Table 2.

The comparative
Given the

2
relatively large value of ax, the values for a total reserve instrument under
lagged reserve accounting are omitted.

- 21 -

The results depicted in Table 2 indicate that there is not much
difference between borrowed reserve targeting and an interest rate instrument.
2
2
As long as ab' 14.8ae, borrowed reserve targeting will be a slightly inferior
means of controlling money.

2.
2
If the assumption that ab=25a e is overstated,

then it is likely that using borrowed reserves will improve monetary control
and lower price level and output variability.

However, borrowed reserve

targeting does imply greater interest rate volatility.

The results also show

that, as expected, total reserve targeting represents the most efficient means
of controlling money and leads to less volatility in output and prices.
Unless interest rate volatility receives significant importance in the Fed's
objective function, it is unclear why the Fed does not adopt this more
efficient procedure.

- 22 -

TABLE 2

E(m -m*)
t

t

interest rate
instrument

4.22a2

borrowed
reserve target

4. 3902

total reserve
target (CRR)

1. 2502

E(r -r*)
t

t

0

E (p-E+ pt)

E (y-E
y)2
t t-lyt

1.39a2

.7202

.43a2

1.38a2

.72a2

3.08a2

.9902

.490 2

- 23 -

5.

Summary and Conclusions

This paper analyzes various operating procedures and the interaction
between these procedures and economic activity.

The investigation builds on

the work of McCallum and Hoehn (1983) by incorporating a market for reserves
into the model.

In doing so, one is able to analyze the effects of the

information loss that occurs with an interest rate instrument and compare the
efficiency of this procedure with the efficiency of borrowed reserve
targeting.

The conclusion is that the demand for borrowed reserves must

display significantly greater variability than the demand for money for an
interest rate instrument to be superior.

Unfortunately, it is difficult to

know the relative size of these two variances.

The paper does indicate that

nonborrowed reserve targeting in the presence of lagged reserve requirements
is unambiguously worse than borrowed reserve targeting.

Therefore, the Fed's

shift to nonborrowed reserve targeting in October 1979 was a mistake.
Over a wide range of parameter values total reserve targeting with
contemporaneous reserve requirements is the most efficient means of
controlling money and results in lower price level and output variability.
However, the Fed's concern for interest rate variability (see Goodfriend
[1986], Dotsey [1987]), may make this procedure unappealing. The concern for
smoothing interest rates is not costless, since output variability is likely
to be directly related to economic welfare.

-

24 -

FOOTNOTES

1.

This assumption does not affect the qualitative nature of the results.
Similar results would occur in a model in which the reserve market met
more frequently than the goods market.

2.

*

The target mt could be set according to some complicated feedback
mechanism based on underlying policy goals.

As in McCallum and Hoehn the
*

results in this paper are not sensitive to how mt is set.
require that the target path for money is known.

One does

For simplicity, Mt = m

is employed in the various solutions in the paper.

3.

Including a variable discount rate would not affect the main results of
the paper.

4.

The result that non-borrowed reserve targeting under LRR will reduce to a
noisy borrowed reserve target occurs even if excess reserves are interest
sensitive as long as the interest sensitivity is relatively small.

5.

Equation (15) can be easily derived by taking log linear approximations
d
TRt

d**
XMt-1 +ERt and TR t

=XM

t-1+ER t and assuming the total reserve

control error is of the form tr5 = trt + t (i.e. TRt =(1+T )TR and
t
t
t
t
t
t
ln(l+T )=T )
t

t

d
Then tr~

sd*
trs
implies that e ert

~r~ +T

-

6.

25 -

The coefficient c1 is independent of whether the demand for money is
expressed in terms of the interest rate or the spread between the market
rate and the rate paid on deposits, rd. so long as rd(l-X)r.

However,

with a fixed discount rate, or one that does not vary proportionately
with r, then the elasticity of discount window borrowing with respect to
the interest rate, is equal to r d
r-d

where d is the discount rate, times

the elasticity of discount window borrowing with respect to the spread.
For r=10%, r-d=2%, and assuming that banks are twice as interest
sensitive as individuals gives b 1=10c=10.

7.

It should also be noted that the elasticities used are largely based on
empirical work performed on quarterly data.

It is not known how time

aggregation would affect the various coefficients.

8.

These values for a

X

and a

T

were chosen based on observations of desk

operations over the period October 1979 to June 1983.

One notes how

extremely volatile excess reserves are and that the desk is fairly
competent at supplying its targeted level of reserves in any given
maintenance period.
2
estimate of ab.

Unfortunately, I know of no way to arrive at a good

Under strict borrowed reserves targeting equation (10)

implies bt= b (rt r )-b2 (E trt+-E+
of expectational errors.

1

rt+1 ) which involves a combination

The Fed sometimes reports its best guess of the

expected funds rate so that the first term might be approximated, but
I know of no readily available data regarding the second term.

- 26 -

REFERENCES

Axilrod, Stephen H., and David E. Lindsay.
Implementation of Monetary Policy:

Analytical Foundations of the New

Approach." American Economic Review:
1981):

"Federal Reserve System

Papers and Proceedings 93 (May

246-52.

Beek, David C.

"Excess Reserves and Reserve Targeting." Federal Reserve Bank

of New York, Quarterly Review 6 (Autumn 1981):
Barro, Robert J.

"A Capital Market in an Equilibrium Business Cycle Model."

Econometrica 48 (September 1980):
Dotsey, Michael.

15-22.

1393-1417.

"Monetary Policy, Secrecy, and Federal Funds Rate Behavior."

Journal of Monetary Economics, forthcoming (November 1987).
.

"Wealth Effects of Open Market Operations and Optimal Monetary

Policy." Journal of Monetary Economics 17 (March 1986):
Dotsey, Michael, and Robert G. King.

225-38.

"Monetary Policy in a Rational

Expectations Environment." Journal of Monetary Economics 12 (September
1983):
.

357-82.

"Informational Implications of Interest Rate Rules."

Economic Review 76 (March 1986):
Goodfriend, Marvin.

American

33-42.

"Discount Window Borrowing, Monetary Policy, and the

Post-October 6, 1979 Federal Reserve Operating Procedures." Journal of
Monetary Economics 12 (September 1983):
_

"Monetary Mystique:

Secrecy and the Central Banking."

Monetary Economics 17 (January 1986):
Hall, Robert E.

343-56.
Journal of

63-92.

"Intertemporal Substitution in Consumption." Working Paper

E-86-25, Hoover Institution, June 1986.
Hamdani, Kausar.

"CRR and Excess Reserves:

An Early Appraisal." Federal

Reserve Bank of New York, Quarterly Review 9 (Autumn 1984):

16-23.

- 27 -

King, Robert G., and Charles I. Plosser.

"Nominal Surprises, Real Factors and

Propagation Mechanisms." Working Paper No. 50, Rochester Center for
Economic Research, July 1986.
Lucas, Robert J.

"Some International Evidence on Output-Inflation Tradeoffs."

American Economic Review 63 (June 1973):
McCallum, Bennett T.
Policy."
2):
_

326-34.

"Rational Expectations and Macroeconomic Stabilization

Journal of Money, Credit and Banking 12 (November 1980, Part

716-46.
"Price Level Determinacy with an Interest Rate Policy Rule and

Rational Expectations." Journal of Monetary Economics 8 (November 1981):
319-29.
McCallum, Bennett T., and James G. Hoehn.

"Instrument Choice for Money Stock

Control with Contemporaneous and Lagged Reserve Requirements." Journal
of Money, Credit and Banking 15 (February 1983):

96-101.

APPENDIX
Equilibrium in the output market implies that

pt =-[a
Pt ~a I
0

(Al)

+ a ltlt+l
a -pt~

adrt + a E
1tlt

Substituting (Al) and Et

= a /ad - Et+

P

t-l t

0

r

Eir
t 1-

1

+ E+

w

-tu

into either the output

P

Et-lt+l it

ihrteotu

supply or demand equation yields
ds
aIa

(A2)

y

=

-

t

-

-

a1

+
(r-Et_,rt)
t

s
a1
- w
+a 1

d
a1
+- u
a1

Using the demand for money equation, the fact that Et

Et 1

=

-t1 Ia

rt

E+r ) + (1/a1 ) (wt

-

m

= mm

that

ut). and that y-

E+

one derives
m -m* = -(c 1 +a md) (r -E+ 1 rt) + m wt

(A3)

For an interest rate peg rt = Et_,rt

(A4)

mt-mt

2

ut +et

rt and

mlwt-m2ut + et

For a borrowed reserve target

(A5)

r

= r

+ (b2 /b ) (E

r +i

Et

rt+i

(1

1)

t

Postulate the following undetermined coefficients solution for Pt and rt.

(A6)

Pt

=

+ ItE2m

(A7)

rt

=*0

+

*

where mt

*

=

m.

+

Ie2 vt

1

6 bt
+ 114 wt + T5ut + Tl

+ 113

1
~mt+ p
+ *33 et +
2 vt-

6
p
4 wt + 1 5 ut + 4 bt

=

y

(A2)
Given that agents observe s = rE
r
r't
t- t-1
5

=

et +
bt
1P3 e + * 4 wt + iP5 ut + *

mt= m wt - m 2 u + et+et and sb t= bt+0t(z), Eztrt+l can be expressed as

(A8)

Erztt+l =Et_lrt+ + alsrt+ a2smt+ a3sb twhere

aI

a2

=

_a3

var(sr)

cov(srsM)

cov(srsm)

var(s)

cov(sr. Sb)

-1
cov(sr1sb) -

2
2*30e

02

°

var(sb)

O

andvar~s
=22+2
2+2 2+22
22
22
2
2
and var(sr) = *3ae + *4w +
*5au+6ab var(s) = mMlaw + m2au + ae+ a '
var(s)
a2 +2a
b) =ab + a

cvs
=
2
2
2
=2
, cov(sr sM) = +*3Ce+ *4 m10w - *5 m2 au, and cov(srsb) = *6ab,

Solving and making use of the fact that *3 m2

al
-

-

+3ae

a2
a2

*2
=2

Definng

E

e

Defining 6

226

e2

*3 m2 + *5 = 0 yields

22

*3*60ea%

(A 3a +*6o2a)(a2 + m2a

3

=

2 2 2

_a3 _

where

*4

ae~ab + a)

2

2

-

22

ab

+ m2 a )ab + (23a

+ *42aa2 5U+

2222

22224
u
6

A [(*30e
3
+ *6%)eb + *3 e0 a] and

undetermined coefficients solutions are *2

*5 = -m2 *3 , and *6

=

-

b (O-0)

-

26ab)a2a2

1+c1 (1-p)

/A)

'

*3

3 e a), the

=b

O*2' *4

m

(A3)
Substituting rt

(A9)

m -m

*

-

Et-,rt into (A3) yields

~~d

b2

__p___

p___

= (1-(c +a m Y --- 1~c(1)e(mlwt

1

+ (c +adm )

e

2

u+et

b

Taking the expectation of (A9) squared yields equation (11) in the text.