Thomas A. Lubik Federal Reserve Bank of Richmond
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Transcript of Thomas A. Lubik Federal Reserve Bank of Richmond
Thomas A. LubikFederal Reserve Bank of Richmond
My favorite sentence in the paper is the last:
My favorite sentence in the paper is the last:
“If nothing else, the Bank’s communication approach should make better economists.”
My favorite sentence in the paper is the last:
“If nothing else, the Bank’s communication approach should make better economists.”
This nicely captures the spirit of the paper
But let’s start at the beginning …
OverviewMonetary policy has come a long way:
Not so long ago central banks were very secretive, now they worry about communications strategy
Widespread use of estimated DSGE models
OverviewMonetary policy has come a long way:
Not so long ago central banks were very secretive, now they worry about communications strategy
Widespread use of estimated DSGE models
Driven by intellectual environment:Keynesian aggregate demand thinking is passéMonetary policy has to do with controlling
inflation: Hetzel (2008)
OverviewMuch of the advances in monetary
policymaking pushed by a few SOE central banks: RBNZ: inflation targetingRiksbank: Bayesian DSGE modellingNorges Bank: transparency and
communication
OverviewMuch of the advances in monetary
policymaking pushed by a few SOE central banks: RBNZ: inflation targetingRiksbank: Bayesian DSGE modellingNorges Bank: transparency and communication
Federal Reserve is slowly getting there:Hints of an inflation targetLonger policy projections
April 29 FOMC Statement
“The Committee […] anticipates that economic conditions are likely to warrant exceptionally low levels of the federal funds rate for an extended period.”
Norges Bank and TransparencyNorges Bank has published model-based
endogenous interest-rate forecasts since November 2005
Transparency strategy includes:Probabilistic statements about future policyExplicit conditioning on shock distributionOpenness about policy maker’s preferences
Key is willingness to put a policy rule on the line:CB reacts to shocks and unforeseen developmentsPolicy response as a general equilibrium outcome
Norges Bank and TransparencyTransparency has arguably been quite
successful:Reduction in interest volatilityMarket expectations close to forecasts
The Costs of TransparencyGoodfriend’s (1986) “Monetary Mystique”Two concerns:
NoiseCommitment to policy path
Theoretical case can be made that a better informed, but secretive trader is beneficial
Concerns that central bank adds noise seem excessive
The Costs of TransparencyMore relevant: public might interpret interest
path as a promise, deviation might be interpreted as discretion
This can be handled by the right communication strategy:Fan chartsInterest rate accountPress conferences
The Interest Rate Account
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08 Q3 09 Q1 09 Q3 10 Q1 10 Q3 11 Q1 11 Q3
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Higher demand in NorwayHigher inflation in NorwayHigher interest rates abroadHigher risk premium in the money marketLower growth abroadChanges in the interest rate path
The Benefits of TransparencyCommitment is more important than
transparencyThere are certainly decreasing returns:
Objective/TargetInstrumentsForecastsPolicy PathsParameter estimates in the DSGE-Model?
In the big scheme of things, the last steps are of second order
The Benefits of TransparencyIs transparency a fair weather issue?Arguably, more open communications in the
last few years gave central banks breathing room to pursue unconventional measures
Transparency does not require the use of a DSGE model
NEMOTypical SOE-DSGE model with the usual bells
and whistlesSmall-scale medium-sized model
NEMOTypical SOE-DSGE model with the usual bells
and whistlesSmall-scale medium-sized modelStriking omission (2006 version): Oil
Oil investmentOil fund distributions as a residual in the
current accountOil producing sector unmodelledRelative price effect on inflation
Oil
Policy PreferencesOptimal policy minimizes ad-hoc loss function
from a “timeless perspective”Where do the weights come from?Why not use Ramsey as the benchmark?
Policy PreferencesOptimal policy minimizes ad-hoc loss function
from a “timeless perspective”Where do the weights come from?Why not use Ramsey as the benchmark?
Key contribution of the micro-foundation approach is not that we have optimization-based decision rules, but that we can talk about the effects of policy on welfare in a meaningful way
Back to the end:
“If nothing else, the Bank’s communication approach should make better economists.”
This guarantees central bank jobs for generations of future PhDs
But there are deeper issues …
Who is the Audience?Public likely to be unimpressed by Bayesian
DSGE modelsPolicymakers are given an additional tool,
competition with other modelsOptimal policy exercises in estimated DSGE
models are a tool to elicit policymaker’s preferences
Monetary Policy as Engineering?DSGE-based approach creates illusion of
controllability
Monetary Policy as Engineering?DSGE-based approach creates illusion of
controllabilityWe’ve been there before:
1972-74 were the heydays of the “large-scale macro- econometric model”
Making policy was simply an optimal control problem
Monetary Policy as Engineering?DSGE-based approach creates illusion of
controllabilityWe’ve been there before:
1972-74 were the heydays of the “large-scale macro- econometric model”
Making policy was simply an optimal control problem
We know how this ended
And arguably no amount of transparency could have prevented this …
Monetary Policy as Engineering!Should not get carried too much away by the
use of DSGE model in the policy processCurrent crop of state-of-the-art DSGE models:
Not rich enoughNot identified
Parameter and model uncertainty should be much more taken into account
Bayesian model averagingCommittee approach: there’s wisdom in crowds
To SummarizeNorges Bank’s approach is laudable:
Take recent developments in macro very seriously; can’t be all bad
Provides employment for PhD economists