Thomas A. Lubik Federal Reserve Bank of Richmond

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Thomas A. Lubik Federal Reserve Bank of Richmond

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Discussion of Communicating Monetary Policy Intentions: The Case of Norges Bank by Amund Holmsen. Thomas A. Lubik Federal Reserve Bank of Richmond. My favorite sentence in the paper is the last:. - PowerPoint PPT Presentation

Transcript of Thomas A. Lubik Federal Reserve Bank of Richmond

Page 1: Thomas A. Lubik Federal Reserve Bank of Richmond

Thomas A. LubikFederal Reserve Bank of Richmond

Page 2: Thomas A. Lubik Federal Reserve Bank of Richmond

My favorite sentence in the paper is the last:

Page 3: Thomas A. Lubik Federal Reserve Bank of Richmond

My favorite sentence in the paper is the last:

“If nothing else, the Bank’s communication approach should make better economists.”

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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 …

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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

Page 6: Thomas A. Lubik Federal Reserve Bank of Richmond

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)

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OverviewMuch of the advances in monetary

policymaking pushed by a few SOE central banks: RBNZ: inflation targetingRiksbank: Bayesian DSGE modellingNorges Bank: transparency and

communication

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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

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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.”

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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

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Norges Bank and TransparencyTransparency has arguably been quite

successful:Reduction in interest volatilityMarket expectations close to forecasts

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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

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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

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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

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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

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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

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NEMOTypical SOE-DSGE model with the usual bells

and whistlesSmall-scale medium-sized model

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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

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Oil

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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?

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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

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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 …

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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

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Monetary Policy as Engineering?DSGE-based approach creates illusion of

controllability

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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

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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 …

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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

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To SummarizeNorges Bank’s approach is laudable:

Take recent developments in macro very seriously; can’t be all bad

Provides employment for PhD economists