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Heterogeneous Firms Notes for Graduate Trade Course J. Peter Neary University of Oxford January 30, 2013 J.P. Neary (University of Oxford) Heterogeneous Firms January 30, 2013 1 / 29

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Page 1: Heterogeneous Firms - University of Oxfordusers.ox.ac.uk/~econ0211/teaching/trade-mphil/... · Heterogeneous Firms Notes for Graduate Trade Course J. Peter Neary University of Oxford

Heterogeneous FirmsNotes for Graduate Trade Course

J. Peter Neary

University of Oxford

January 30, 2013

J.P. Neary (University of Oxford) Heterogeneous Firms January 30, 2013 1 / 29

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Plan of Lectures

1 Empirical Background

2 Overview of the Melitz Model

3 Equilibrium in Autarky

4 Effects of Trade

5 Extensions

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Empirical Background

Plan of Lectures

1 Empirical Background

2 Overview of the Melitz Model

3 Equilibrium in Autarky

4 Effects of Trade

5 Extensions

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Empirical Background

Empirical Background

The Data Revolution: Micro-Data on Firms.

Evidence totally orthogonal to traditional theory:

Exporting firms are:

Rare!: Very few firms export;... and those that do sell most of their output domestically;

Larger;More productive;... ex ante (”selection into exporting”), not ex post (”learning by

exporting”) (Clerides et al. QJE 1995; Bernard-Jensen JIE 1999).OlderPay higher wages

Effects of trade liberalisation:

Forces least productive firms to exit (Bernard and Jensen, JIE 1999).Encourages market share reallocation towards more productive firms;... and so raises aggregate productivity (Pavcnik REStud 1999,

Bernard-Jensen-Schott JIE 2006).

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Overview of the Melitz Model

Plan of Lectures

1 Empirical Background

2 Overview of the Melitz ModelDynamic Industry EquilibriumContinuum CES Preferences

3 Equilibrium in Autarky

4 Effects of Trade

5 Extensions

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Overview of the Melitz Model Dynamic Industry Equilibrium

Dynamic Industry Equilibrium

Monopolistic competition with CES preferences; so what’s new?

Melitz (2003), Helpman-Melitz-Yeaple (2004) [HMY]

Population of ex ante identical firms.

Firms face two sources of uncertainty:1 Uncertain productivity ϕ / cost c ; quality another interpretation.

Drawn from a known distribution with pdf g(

1c

)with positive support

over (0, ∞) and associated cdf G(

1c

). [g

(1c

)= G ′

(1c

)]

To learn its c, a firm must pay a sunk cost of entry fe .

2 Uncertain lifetime if it chooses to enter.

Exogenous probability δ of ”death” i.e., a bad shock that will cause itto exit.HMY and Chaney (AER 2008) ignore the second source, assuming thata successful entrant produces for one period only.This simplifies the model a lot without affecting its main predictions,and many authors have followed them; but it is insightful to solve thefree entry case in full.

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Overview of the Melitz Model Continuum CES Preferences

Continuum CES Preferences

CES preferences with a continuum of goods: little new:

U =[∫

ω∈Ω q (ω)θ dω]1/θ

,

0 < θ = σ−1σ < 1, σ = 1

1−θ > 1

⇒ Optimal consumption: q (ω) =[p(ω)P

]−σQ Q = U

Optimal expenditure: r (ω) ≡ p (ω) q (ω) =[p(ω)P

]1−σR

R = PQ =∫

ω∈Ω r (ω) dω

Price index: P =[∫

ω∈Ω p (ω)1−σ dω] 1

1−σ

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Equilibrium in Autarky

Plan of Lectures

1 Empirical Background

2 Overview of the Melitz Model

3 Equilibrium in AutarkyProductionEntryEquilibrium Selection in Autarky: FigureProductivity of EntrantsAverage Productivity, Prices and ProfitsZCP (Zero Cutoff Profit) ConditionFE (Free Entry) ConditionIndustry Equilibrium: FigureEquilibrium in Autarky: RecapGeneral Equilibrium in Autarky: Details

4 Effects of Trade

5 Extensions

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Equilibrium in Autarky Production

Production

Firms have different productivities ϕ (inverse of variable costs c).

All infra-marginal firms make positive profits; otherwise little new:

Labour the only factor, with w = 1: TC (c) = f + cq (c)

Profit maximisation implies: p (c) = σσ−1 c , q (c) =

σ−1 c)−σ

Pσ−1R

Price-cost margin: p (c)− c = 1σ−1 c = 1

σ p (c)

Revenue: r (c) =(

σσ−1 c

)1−σPσ−1R =

(σ−1

σ1c P)σ−1

R

Variable profit:

r (c)− cq (c) = [p (c)− c ] q (c) = 1σ r (c) =

(σ−1

σ1c P)σ−1

Total profit: π (c) = 1σ r (c)− f =

(σ−1

σ1c P)σ−1

Rσ − f

Higher productivity firms have higher output, revenue and profits.They also charge lower prices.Ratios (rankings) of p, q, and r depend only on productivities:

p(c1)p(c2)

= c1c2

q(c1)q(c2)

=(c2c1

)σand

r (c1)r (c2)

=(c2c1

)σ−1

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Equilibrium in Autarky Entry

Entry

To be or not to be? Depends on firm’s expected value given ϕ:

V (ϕ) = max

0,

∞∑0(1− δ)t π (ϕ)

= max

0, 1

δ π (ϕ)

.

This is steady-state analysis; no learning-by-doing etc.Probability of death acts just like a discount factor.

So: Entry occurs IFF V (ϕ) ≥ 0⇔ π (ϕ) ≥ 0⇔ ϕ ≥ ϕ∗ where:

ϕ∗ : π (ϕ∗) = 0 (1)

So far, very like homogeneous-firms model; but there:π = 0 holds for all firms (since they are homogeneous);This pins down q for all firms

... and market-clearing pins down mass of firms n.

Here: π (ϕ∗) = 0 is one equation in ϕ∗ and (through P) n.It determines q (ϕ∗) but there are many other q (ϕ) ...So: we need more equations ...

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Equilibrium in Autarky Equilibrium Selection in Autarky: Figure

Equilibrium Selection in Autarky

c

11 c1*)(c

f

EnterExit EnterExit

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Equilibrium in Autarky Productivity of Entrants

Productivity of Entrants

Equilibrium distribution of firm productivities:

Ex ante, it continues to be g (ϕ).Ex post, distribution of entrants’ productivities is different: µ (ϕ).Probability of a bad draw is G (ϕ∗); so probability of entry is1− G (ϕ∗)Hence distribution of ϕ on [ϕ∗, ∞), conditional on successful entry, is:

µ (ϕ) =

g (ϕ)

1−G (ϕ∗) if ϕ ≥ ϕ∗

0 otherwise(2)

Aggregate price: P =[∫ ∞

0 p (ϕ)1−σ Mµ (ϕ) d ϕ] 1

1−σ

= M1

1−σ p (ϕ) M: mass of firms.

where: ϕ (ϕ∗) ≡[∫ ∞

ϕ∗ ϕσ−1µ (ϕ) d ϕ] 1

σ−1

Average productivity; (strictly, a ”weighted symmetric mean”).

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Equilibrium in Autarky Average Productivity, Prices and Profits

Average Productivity, Prices and Profits

Proof that P = M1

1−σ p (ϕ)

P =[∫

ω∈Ω p (ω)1−σ dω] 1

1−σ=[∫ ∞

0 p (ϕ)1−σ Mµ (ϕ) d ϕ] 1

1−σ

Recall:p(ϕ1)p(ϕ2)

= ϕ2ϕ1

so: p (ϕ) = p (ϕ)ϕϕ

⇒ P = M1

1−σ

[∫ ∞0 p (ϕ)1−σ ϕ1−σ

ϕ1−σ µ (ϕ) d ϕ] 1

1−σ

= M1

1−σ p (ϕ) ϕ[∫ ∞

0 ϕσ−1µ (ϕ) d ϕ] 1

1−σ

= M1

1−σ p (ϕ) from defn. of ϕ (Careful with exponents!) QED

ϕ is a ”sufficient statistic” for the industry.In particular: Average profits π = π (ϕ);

Proof: π ≡∫ ∞

ϕ∗ π (ϕ) µ (ϕ) d ϕ; BUT: π (ϕ) = 1σ r (ϕ)− f

= 1σ

∫ ∞ϕ∗ r (ϕ) µ (ϕ) d ϕ− f ; BUT:

r (ϕ)r (ϕ)

=(

ϕϕ

)σ−1

= 1σ r (ϕ)

(1ϕ

)σ−1 ∫ ∞ϕ∗ ϕσ−1µ (ϕ) d ϕ− f ; BUT: Recall defn. of ϕ.

= 1σ r (ϕ)− f QED

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Equilibrium in Autarky ZCP (Zero Cutoff Profit) Condition

ZCP (Zero Cutoff Profit) Condition

Given π = 1σ r (ϕ)− f and ϕ (ϕ∗), π is a function of ϕ∗.

It’s even neater than that, recalling thatr (ϕ)r (ϕ∗) =

[ϕ(ϕ∗)

ϕ∗

]σ−1;

⇒ π = 1σ r (ϕ∗)

[ϕ(ϕ∗)

ϕ∗

]σ−1− f ; BUT: π (ϕ∗) = 1

σ r (ϕ∗)− f = 0;

⇒ π =

[ϕ (ϕ∗)

ϕ∗

σ−1

− 1

]f [ZCP] (3)

Slope in π, ϕ∗ space depends on two competing effects:1 Higher ϕ∗ raises average productivity, and so profits, of surviving firms:

ϕ′ (ϕ∗) > 0.A selection effect, not a firm-level productivity effect

2 Higher ϕ∗ means tougher competition: profits are decreasing in rivals’productivity.

(2) dominates for many distributions: ZCP downward-sloping.e.g., fat-enough tails: lognormal, exponential, etc.

(1) and (2) exactly cancel for Pareto: G (ϕ) = 1−(

)k: ZCP flat.

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Equilibrium in Autarky FE (Free Entry) Condition

FE (Free Entry) Condition

Expected PV of profits must equal sunk cost of entry:∫ ∞0 v (ϕ) g (ϕ) d ϕ = fe ; BUT: v (ϕ) = 1

δ π (ϕ) for ϕ ≥ ϕ∗;otherwise = 0;⇒ 1

δ

∫ ∞ϕ∗ π (ϕ) g (ϕ) d ϕ = fe ; BUT: Recall distribution of entrants’

productivities;⇒ 1

δ [1− G (ϕ∗)]∫ ∞

ϕ∗ π (ϕ) µ (ϕ) d ϕ = fe ; BUT: Recall defn. of π;

⇒ π =δfe

1− G (ϕ∗)[FE] (4)

So: Average industry profits rise with δ (think Grim Reaper), fe (thinklarger firms) and ϕ∗ (higher productivity cutoff).

(3) and (4): Two equations in two unknowns, π and ϕ∗;

So they are determined by fe , f , δ, and g (ϕ) only.

Melitz shows that FE must be cut by ZCP only once from above;

So equilibrium is unique and stable.

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Equilibrium in Autarky Industry Equilibrium: Figure

Industry Equilibrium in Autarky

FE

ef

ZCP

*

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Equilibrium in Autarky Equilibrium in Autarky: Recap

Equilibrium in Autarky: Recap

The story so far:

p (ϕ) = σσ−1

1ϕ P = M

11−σ p (ϕ) = M

11−σ σ

σ−11ϕ

π (ϕ) = 1σ r (ϕ)− f π = 1

σ r (ϕ)− f

r (ϕ) =(

σ−1σ ϕP

)σ−1R

r (ϕ) =(

σ−1σ ϕP

)σ−1R =

(M

11−σ

)σ−1R = R

M

This implies that: π = 1σRM − f

σ, f given; π and ϕ∗ determined by (3) and (4).

Finally: R determined by aggregate budget constraint: R = wL = L.

N.B. This is the first, and only, place where GE appears: see next page.BUT: it is crucial: without induced rise in real wage in GE, theselection effects of trade would not arise in the model.

Only remaining unknown is M, which is therefore: M = L(π+f )σ .

Compare Krugman: M = Lcy+f from LME; = L

f σ from CES.

Since y = (σ− 1) fc → cy + f = (σ− 1)f − f .

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Equilibrium in Autarky General Equilibrium in Autarky: Details

General Equilibrium in Autarky: Details

Stationary equilibrium: Aggregate variables stay constant.

So, mass of new entrants each period Me must be such that mass ofsuccessful entrants equals mass of exiters: [1− G (ϕ∗)]Me = δM.Successful entrants and failing incumbents have the same productivitydistribution;So: equilibrium distribution µ (ϕ) is not affected by simultaneous entryand exit.

Finally, how come R = L? What happened to profits?

The trick is that sunk entry costs also require labour.So: L = Lp + Le ; aggregate labour used for production and investment(in entry).But: wLp = R −Π;

while: wLe = wMe fe = w δM1−G (ϕ∗) fe = Mπ = Π

So, with w = 1, L = R −Π + Π = R.

J.P. Neary (University of Oxford) Heterogeneous Firms January 30, 2013 18 / 29

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Effects of Trade

Plan of Lectures

1 Empirical Background

2 Overview of the Melitz Model

3 Equilibrium in Autarky

4 Effects of TradeTrade CostsFirms in Home and Export MarketsEquilibrium Selection in Trade: FigureThe ZCP Locus with TradeIndustry Equilibrium in Autarky and Trade: FigureAdjustment to Trade LiberalisationComparing Trade and AutarkyComparing Trade and Autarky (cont.)

5 ExtensionsJ.P. Neary (University of Oxford) Heterogeneous Firms January 30, 2013 19 / 29

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Effects of Trade Trade Costs

Trade Costs

Now: replicate the home economy without trade costs:

n: # foreign countries; all identical, so FPE holds, w = 1 in all.Budget constraint is now: R = (n + 1) L.All firms will export, trade does not affect average productivity.(3) and (4) continue to determine the same equilibrium π and ϕ∗.

[Think Krugman 1979: n + 1 > 0 ⇒ M = n + 1.]

So, we need trade costs; 2 kinds in fact:

1 Iceberg variable costs: τ2 Fixed cost of exporting fx ; incurred after firm learns its ϕ.

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Effects of Trade Firms in Home and Export Markets

Firms in Home and Export Markets

Firms charge constant mark-ups in both domestic and exportmarkets.

So: Domestic revenue: rd (ϕ) =(

σ−1σ ϕP

)σ−1R as before

Revenue in export market j : rX (ϕ) = τ1−σ(

σ−1σ ϕPj

)σ−1Rj

Symmetry ⇒ Total exporter revenue:(1 + nτ1−σ

)rd (ϕ)

Profits on domestic sales: πd (ϕ) =rd (ϕ)

σ − f .This = 0 determines threshold ϕ∗ as before.

Profits in an export market: πX (ϕ) =rX (ϕ)

σ − fX = τ1−σrd (ϕ)σ − fX .

This = 0 determines a new threshold ϕ∗X .

Threshold ratio:rd(ϕ∗X )rd (ϕ∗) = τσ−1 fX

f BUT:rd(ϕ∗X )rd (ϕ∗) =

(ϕ∗Xϕ∗

)σ−1

⇒ ϕ∗X = τ

(fXf

) 1σ−1

ϕ∗ (5)

i.e., sorting as in data (ϕ∗X > ϕ∗) IFF τ(fXf

) 1σ−1

> 1⇔ τσ−1fX > f .

We assume this holds from now on. (A little unsatisfactory ... )

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Effects of Trade Equilibrium Selection in Trade: Figure

Equilibrium Selection in Trade

c

cx

11 c1*)(c 1* )( xc )( x

f

f ExportHome SalesOnlyxf

EnterExit

pOnly

EnterExit

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Effects of Trade The ZCP Locus with Trade

The ZCP Locus with Trade

Probability of entry = 1− G (ϕ∗) as before;

Probability that an entrant exports: pX =1−G(ϕ∗X )1−G (ϕ∗)

Average expected profits of an entrant:π = πd (ϕ) + pX nπX (ϕX )

Here: ϕX is the weighted average productivity of exporters; so:

π(ϕ∗)=

[ϕ(ϕ∗)

ϕ∗

σ−1

−1

]f +pXn

[ϕX (ϕ∗)ϕ∗X (ϕ∗)

σ−1

−1

]fX [ZCPt ] (6)

This is clearly greater than in autarky; i.e., π (ϕ∗) > πa (ϕ∗) for anyarbitrary ϕ∗.i.e., ZCP shifts up relative to autarky.Finally: FE locus is unaffected.So: ϕ∗ > ϕ∗a and π (ϕ∗) > πa (ϕ∗a)

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Effects of Trade Industry Equilibrium in Autarky and Trade: Figure

Industry Equilibrium in Autarky and Trade

FE)( *a

*

)( a

)( *t

ZCP - Trade

)( *aaa

efZCP - Autarkyy

**a

*t

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Effects of Trade Adjustment to Trade Liberalisation

Adjustment to Trade Liberalisation

Result that ϕ∗ > ϕ∗a matches the data:

Trade causes marginal firms to exit;Selection effect of trade;Why? NOT a competition effect through demand side.

Remember: CES: Firm size and therefore π fixed by costs.Ans.: Labour market adjustment is crucial (though in the background).Increase in profitable opportunities for relatively more productive firms⇒ more entry⇒ Increase in labour demand⇒ Increase in real wage w

P ; i.e. fall in P⇒ Least productive firms in autarky can no longer make profits.

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Effects of Trade Comparing Trade and Autarky

Comparing Trade and Autarky

Mass of active home firms falls: M < Ma; proof:

Total revenue of domestic producers: R = LAverage revenue: r =

∫ ∞0 r (ϕ) µ (ϕ) d ϕ

= σ (π + f + pX nfX )

BUT: R = Mr ⇒ M = Lσ(π+f +pXnfX )

< Ma

(Recall that Ma = Lσ(πa+f )

and π > πa.

What about total number of varieties?

# firms selling in any one market: Mt = (1 + npX )M

Likely (except for very high τ) that Mt > Ma

i.e., gains from variety.

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Effects of Trade Comparing Trade and Autarky (cont.)

Comparing Trade and Autarky (cont.)

ϕ∗ > ϕ∗a ⇒ rd (ϕ) = σ(

ϕϕ∗

)σ−1f < ra (ϕ) = σ

(ϕϕ∗a

)σ−1f

i.e., all firms earn less on home market.However: ra (ϕ) < rd (ϕ) + nrX (ϕ) for ϕ > ϕ∗X (harder to prove ... )i.e., exporting firms gain.

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Extensions

Plan of Lectures

1 Empirical Background

2 Overview of the Melitz Model

3 Equilibrium in Autarky

4 Effects of Trade

5 Extensions

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Extensions

Extensions

Quadratic preferences ⇒ Variable mark-ups, competition effects:Melitz-Ottaviano (REStud 2007); but, partial equilibrium.

Combine with HO: Bernard-Redding-Schott (REStud 2008).

Quality: Baldwin-Harrigan (AEJ 2011) and many more:Predict that price rises not falls with productivity.

Zeroes in the Trade Matrix: Helpman-Melitz-Rubinstein (QJE 2008):Link with gravity model; avoids prediction that every firm serves everyexport market.

Other types of sorting:FDI: HMY (AER 2004)R&D: Bustos (AER 2011)Wages: Egger-Kreickemeier (IER 2009), Helpman-Itskhoki-Redding(Em 2010).In all cases: Trade-off between fixed and variable costs;

“Only more productive firms select into higher fixed-cost activity.”Or, is that true? See next file and Mrazova-Neary (2012) . . .

J.P. Neary (University of Oxford) Heterogeneous Firms January 30, 2013 29 / 29