Inflation Targeting with Imperfect Information IMF SEMINAR, January - - PowerPoint PPT Presentation

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Inflation Targeting with Imperfect Information IMF SEMINAR, January - - PowerPoint PPT Presentation

Rafael Santos . Vale and Central Bank of Brazil . Inflation Targeting with Imperfect Information IMF SEMINAR, January 2014 Technical approach: Global Games Defined by Hans Carlsson and Eric van Damme (1993) "Global Games and


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Rafael Santos

.

Vale and Central Bank of Brazil.

Inflation Targeting with Imperfect Information

IMF SEMINAR, January 2014

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Technical approach: Global Games

  • Defined by Hans Carlsson and Eric van Damme (1993)
  • "Global Games and Equilibrium Selection", Econometrica 61 (5): 989-1018.

— gameS from individual perspective — global output

  • Morris and Shin (AER, 1998)
  • Angeletos and Werning (AER, 2006)
  • Araujo, Berriel and Santos (Revised-resubmitted to the IER)
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Morris and Shin (AER, 1998)

  • Information and speculative attacks

— Uniqueness: crises depends only on fundamentals — Crises cannot be triggered by lack of confidence — No-common-knowledge prevents self confirmed equilibrium — No role for public communication

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Angeletos and Werning (AER, 2006)

  • add Public Information

— High transparency: self confirmed crises are possible — Even under no-common-knowledge — Currency value may depend on equilibrium selection

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This paper

  • Adapts Angeletos and Werning (2006)

— one stage added — exogenous public information

  • We then study the role of inflation targeting announcement:

— Aggressive targets hurt coordination and may open the door to ME — Noisy information helps to coordinate expectations around the announced target — There are limits to IT announcements and transparency reinforce such limits

  • Some data before model ...
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The case of Brazil-2002

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  • In Brazil, the target for the year (t + 2) is decided in the year (t)
  • Luiz Inácio Lula da Silva was elected president of Brazil at the end of 2002 (October)
  • At that time, expectations about keeping currency stability in next years were really

low

  • They were grounded on a fear of Lula’s innovation in monetary policy making
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2 5 8 11 14 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 Target Re-Target Re-Re-Target (Jan/03) CPI Inflation ( % / year)

Brazil - Inflation Targeting Regime

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Cross country evidence ?

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Model based on 3-stage-game with 2 type of players Static monetary model with imperfect information

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Stage 3: CB decides actual inflation π minimizing L (π, πe(πa)) +

  • Ik,π=πa
  • Stage 1: CB announces inflation target πa minimizing E
  • L (π, πe(πa)) +
  • Ik,π=πa
  • Stage 2: Agent j ∈ (0, 1) believes or not in the target: maxαj∈{0,1} E
  • 1 − αj

Ic,π=πa Information set: private signal: sj = k + σεj ; σ > 0 and εj ∼ N(0, 1) public signal: sp = k + σpεp ; σp > 0 and εp ∼ N(0, 1)

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Exploring the third stage

Assuming∗ ∂2L

∂π2 > 0, ∂2L ∂πe∂π < 0, ∂2L ∂π2 > − ∂2L ∂πe∂π :

  • P1: π∗ (πe) = πe exists and it is unique, named discretionary inflation (πD)
  • (πG, πG) ≡ arg min L(π, πe) s.t. π = πe, πG named the commitment infl.
  • P3: Required k for target achievement depends on the distance btw the πa and πD

∗Also is assumed that Loss function becomes less concave as approaches to the discretionary inflation level.

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EQUILIBRIUM:

π∗

a such that

π∗

a solves first stage CB problem

π∗ such that π∗ solves third stage CB problem π∗

e such that

π∗

e is defined consistent with monotone-bayesian equilibria

(j) attacks ⇔ sj ≤ s∗(sp, πa) ≡ “threshold value” πe(sp) is computed by aggregating each agent as follow: π∗

e = α (s∗) π∗ a + (1 − α (s∗))πD

α (s∗) ≡

1

  • αj

sj, sp, πa

  • dj
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Proposition 4

Given an announced target, if −∂2L(.,.)

∂πe∂π < √ 2π (πa−πD)2

σ2

p

σ

  • then equilibrium is unique for

every public signal

  • Transparency on cost k leads to multiplicity
  • Aggressive targets
  • πa closer to πG

fuels multiplicity

  • Surprise cost (marginal cost of inflation higher when expectations are low) fuels mul-

tiplicity

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Proposition 5

Let the variance of the public signal be high enough to ensure the uniqueness for all public signals and for all target-candidates: σ2

p > σ

  • −∂2L(.,.)

∂πe∂π

  • (πG−πD)2

√ 2π

. In such a case, more defensible targets improves the target coordination (increases α∗).

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Barro and Gordon

Loss function: L = π2 + λ (y − y∗)2 Phillips Curve π = πe + ϕ (y − yn)

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Alternative application with fiscal-monetary trade-off

Loss function: L (π, πe) ≡ π

η

η + λ exp (d − (π − πe))

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REMARKS

  • Our results are aligned with the conventional claim on the benefits of having low

inflation target supported by sound fundamentals.

  • But still, fundamental improvement might be costly in terms of both time and re-

sources.

  • Meanwhile, as the public needs to share a precise evidence of weakness to coordinate

against the inflation target, central bank should improve coordination — by adopting a prudent/defensible target — by avoiding too much transparency

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THANK YOU

.

Additional information: rafael.santos@bcb.gov.br Avoid more transparency than Avoid more ambitious target than supported by your fundamentals supported by your fundamentals http://epge.fgv.br/we/RafaelSantos