Incomplete Cost Pass- Through Under Deep Habits M. Ravn S. - - PowerPoint PPT Presentation

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Incomplete Cost Pass- Through Under Deep Habits M. Ravn S. - - PowerPoint PPT Presentation

Incomplete Cost Pass- Through Under Deep Habits M. Ravn S. Schmitt-Groh e M. Uribe September 2007 1 Stylized Facts We Wish To Address Innovations in marginal costs are associated with less than proportional increases in prices


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SLIDE 1

Incomplete Cost Pass- Through Under Deep Habits

  • M. Ravn
  • S. Schmitt-Groh´

e

  • M. Uribe

September 2007

1

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SLIDE 2

Stylized Facts We Wish To Address

  • Innovations in marginal costs are associated with less than

proportional increases in prices (incomplete cost pass-through).

  • Prices are less volatile than marginal costs.
  • Markup adjustments explain a significant fraction of incomplete

cost pass-through. Some Key References: Giovannini (JIE, 1988), Kadiyali (JIE 1997), Hellerstein (2006), Goldberg and Campa (2006), Nakamura (2006), Goldberg and Hellerstein (2007).

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SLIDE 3
  • Observation: Most existing structural estimations of cost

pass-through using highly disaggregate data are based on static models.

  • Limitations of Static Models:

– Cannot distinguish between effects of permanent versus transitory cost shocks. – Cannot distinguish between effects of anticipated versus unanticipated cost shocks.

  • This Paper: Dynamics take center stage.

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SLIDE 4

Habit Formation Period Utility Function: U(xt) Superficial Habit Formation: Habits are formed at the level of a composite good xt = ct cθ

t−1

with ct =

1

0 c 1−1

η

it

di

  • 1

1−1 η

Deep Habit Formation: Habits are formed at the level of individual goods xt =

    1   cit

it−1

 

1−1

η

di

   

1 1−1 η 4

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SLIDE 5

A Model of Incomplete Pass- Through Household j minimizes

1

0 Pitcj itdi,

subject to

   1   cj

it

it−1

 

1−1/η

di

  

1/(1−1/η)

≥ xj

t

θ = deep-habit parameter cit−1 = External habit stock, taken as given by households.

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SLIDE 6

Demand for good i by household j cj

it =

  • Pit

Pt

−η

cθ(1−η)

it−1

xj

t,

  • Short-Run Price Elasticty = η
  • Long-Run Price Elasticty =

η 1−θ(1−η) > η

  • Habit elasticity θ(1 − η)

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SLIDE 7

The Firm

  • Maximize present value of expected profits

  • t=0

βtE0(Pit − MCit)cit, subject to cit = AtP −η

it cθ(1−η) it−1

  • pricing problem of the firm becomes dynamic
  • First-order condition:

Pit

  • 1 − 1

η

  • + βθ1 − η

η EtPit+1 cit+1 cit = MCit

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SLIDE 8

The Markup

  • Define the markup as

µit ≡ Pit MCit Then, the firm’s FOC implies µit = 1

  • 1 − 1

η

1 − βθEt

Pit+1cit+1 Pitcit

  • The markup is time varying.
  • The markup is decreasing in the expected growth of sales.

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SLIDE 9
  • Steady state markup

µ =

  • η

η − 1 1 1 − βθ

  • <

η (η − 1).

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SLIDE 10

A Law of Motion for Marginal Costs

  • MCit+1 = λ

MCit + ǫt+1 Calibration of the Model Parameter Value β 0.99 η 6 λ θ

  • 0.1

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SLIDE 11

Impulse Response to a One-Percent Increase in Marginal Cost period price marg.costs markup 0.81 1

  • 0.19

1

  • 0.11
  • 0.11

2

  • 0.04
  • 0.04

3

  • 0.01
  • 0.01

4

  • 0.01
  • 0.01

Units: percent deviations from the steady state.

⇒ Incomplete Cost Pass-Through

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SLIDE 12

Price-Cost Volatility Ratio var(Pit) var(MCit) = 0.66 ⇒ Prices are less volatile than marginal cost

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SLIDE 13

Persistence of Cost Shocks and Incomplete Pass- Through

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 −0.2 −0.15 −0.1 −0.05 0.05 0.1 0.15 0.2

λ log(µt/µss)

⇒ Pass-through increases with the persistence of marginal cost shocks.

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SLIDE 14

Persistence of Cost Shocks and the Volatility of the Price-Cost Ratio

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1

λ σP/σMC

⇒ Prices remain less volatile than costs even for highly persistent cost shocks.

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SLIDE 15

Anticipated Marginal-Cost Shocks period price marg.costs markup 0.29 0.29 1 0.77 1

  • 0.23

2

  • 0.12
  • 0.12

3

  • 0.05
  • 0.05

4

  • 0.02
  • 0.02

Units: percent deviations from the steady state.

⇒ About 1/3 of the future expected increase in costs is passed

  • nto prices upon arrival of information. Consequently, a smaller

fraction of the cost shock is passed onto prices upon realization

  • f the shock ⇒ Measured pass-through is more incomplete.

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SLIDE 16

Conclusions

  • Deep habit formation gives rise to a theory of time-varying markups.
  • The markup is a decreasing function of expected revenue growth.
  • Deep habit formation induces incomplete pass-through of marginal cost

shocks.

  • Incomplete pass-through is more severe the more transitory the cost

shocks are.

  • Anticipation of cost shocks exacerbates the incompleteness of cost pass-

through.

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