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Discussion of The Elusive Pro-Competitive Effects of Trade Costas - - PowerPoint PPT Presentation

Discussion of The Elusive Pro-Competitive Effects of Trade Costas Arkolakis, Arnaud Costinot, Dave Donaldson and Andr es Rodr guez-Clare Oleg Itskhoki Princeton University Princeton IES Summer Workshop June 2012 1 / 9 ACR


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Discussion of The Elusive Pro-Competitive Effects of Trade

Costas Arkolakis, Arnaud Costinot, Dave Donaldson and Andr´ es Rodr´ ıguez-Clare

Oleg Itskhoki

Princeton University Princeton IES Summer Workshop June 2012

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ACR

  • Decomposition of gains from trade:

Direct Effect Entry (intensive margin) (new varieties)

Krugman (1980)

Direct Effect

Entry Selection/reallocation (intensive margin) (new varieties) (extensive margin)

Melitz (2003)

ε = σ − 1 ε = [σ − 1] + [θ − (σ − 1)] = θ

  • ACR’s welfare formula (CES + Pareto):
  • W = ˆ

λ− 1

ε

  • Trade elasticity ε:

— Gravity: Xij = δi + δj + ετij + νij — Micro-level discipline: θ/(σ − 1)

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ACR

  • Decomposition of gains from trade:

Direct Effect Entry (intensive margin) (new varieties)

Krugman (1980)

Direct Effect

Entry Selection/reallocation (intensive margin) (new varieties) (extensive margin)

Melitz (2003)

ε = σ − 1 ε = [σ − 1] + [θ − (σ − 1)] = θ

  • ACR’s welfare formula (CES + Pareto):
  • W = ˆ

λ− 1

ε

  • (Mis?)-interpretation of the results:

— Selection effect on welfare is nil — Gains from trade are model independent (general approx.) — Look outside CES + Pareto for additional welfare effects

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ADCR

  • What if markups aren’t constant? Pro-competitive effects?
  • Generalized formula:

d log W = (1 − η)d log λ

1 θ ,

η = ρ · 1 − β 1 − β + θ ∈ [0, 1]

  • Under what conditions:

1 Demand: qω = −βpω + γw + d(pω − p∗),

s.t. (i) β = γ ≤ 1; (ii) d′′(·) < 0; (iii) d(x) = −∞, x ≥ 0.

2 Pareto

  • Interpretation:

— Does not imply negative pro-competitive effects — Gains are now model-specific (unlike in ACR),. . . . . . but previous formula is an upper bound

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Kimball (1996) demand

  • Demand aggregator (homothetic and symmetric):
  • Ψ(Ci/C)di = 1,

Ψ′(·) > 0, Ψ′′(·) < 0

  • Demand:

Ci = ψ PiD P

  • C = ψ

PiD P W P , ψ(·) ≡ Ψ′−1(·), implies γ = β = 1 and d(z) = z + log ψ(exp(z)) ⇒ ACR formula applies for a general homothetic demand

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Kimball (1996) demand

  • Demand aggregator (homothetic and symmetric):
  • Ψ(Ci/C)di = 1,

Ψ′(·) > 0, Ψ′′(·) < 0

  • Demand:

Ci = ψ PiD P

  • C = ψ

PiD P W P , ψ(·) ≡ Ψ′−1(·), implies γ = β = 1 and d(z) = z + log ψ(exp(z)) ⇒ ACR formula applies for a general homothetic demand

  • Klenow and Willis (2006) specification:

ψ(z) = (1 − ǫ log z)σ/ǫ, σ ≥ 1, ǫ ≥ 0

— CES in the limit ǫ → 0 — For ε > 0, log-concave and has a choke price p∗ = p − d + 1

ǫ

— (σ, ǫ) conveniently parameterizes demand and markup elasticity

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SLIDE 7

Kimball (1996) demand

0.5 1 1.5 2 2.5 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3

Figure 1: Demand function with real rigidities

relative price (Psi/Ps) relative demand (Ysi/Ys) ε = 0 ε = 1 ε = 5 ε = 10

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Pareto distribution

  • Pareto is the key assumption (ACDR show it’s not CES)
  • Why do we like Pareto?

— Tractability — still the case — Firm size distribution — no longer the case

  • Without CES, Pareto implies:

1 non-Pareto size distribution

— counterfactual

2 stable distribution of markups, from any country

— depends only on demand and Pareto shape parameter θ — very sharp testable implication

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Size distribution of firms

Pareto and Kimball demand

2 4 6 8 10 5 10 15

log R logRank

= 1 = 0 = 5 (linear)

ǫ = 1 (w/σ = 5): very mild markup variability, pass-through 80%

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Markup distribution shift

From DGKP (2012)

Pr✐❝❡s✱ ▼❛r❦✉♣s ❛♥❞ ❚r❛❞❡ ❘❡❢♦r♠ ❋✐❣✉r❡ ✼✿ ❉✐str✐❜✉t✐♦♥ ♦❢ ▼❛r❦✉♣s ❛♥❞ ▼❛r❣✐♥❛❧ ❈♦sts ✐♥ ✶✾✽✾ ❛♥❞ ✶✾✾✼

Sample only includes firm-product pairs present in 1989 and 1997. Observations are de-meaned by their time average, and outliers above and below the 3rd and 97th percentiles are trimmed.

.5 1 1.5 Density

  • 2
  • 1

1 2 Log Markups 1989 1997

Sample only includes firm-product pairs present in 1989 and 1997. Observations are de-meaned by their time average, and outliers above and below the 3rd and 97th percentiles are trimmed.

Distribution of Markups

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Alternative Market Structures

  • Two recent papers provide examples of very large

pro-competitive effects:

— de Blas and Russ based on BEJK — Edmond, Midrigan and Xu based on Atkeson-Burstein (2008)

  • What is different?

— Nested CES (∞ ≥ ρ > η > 1) — Large change starting from autarky in EMX — Oligopolistic comp. in EMX and Bertrand limit-pricing in dBR — Large firms (so not Pareto!)

  • Mechanism:

— huge markup reduction for domestic firms from foreign competition — moderate markup increase for exporting firms

  • Is it large firms or simply a departure from Pareto?

— easy to check in a simple calibration

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Conclusion

Two ways to interpret results:

1 Elusive pro-competitive effects 2 If you want to study pro-competitive effects, you have to

depart not just from CES but also from Pareto assumption

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