MARKET STRUCTURE AND MARKET POWER Measuring market power One firm: - - PowerPoint PPT Presentation

market structure and market power measuring market power
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MARKET STRUCTURE AND MARKET POWER Measuring market power One firm: - - PowerPoint PPT Presentation

MARKET STRUCTURE AND MARKET POWER Measuring market power One firm: margin m = p MC p Many firms: average margin, a.k.a. Lerner index n p MC i L s i p i =1 Measuring market structure n (number of firms), or 1 / n


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SLIDE 1

MARKET STRUCTURE AND MARKET POWER

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SLIDE 2

Measuring market power

  • One firm: margin

m = p − MC p

  • Many firms: average margin, a.k.a. Lerner index

L ≡

n

  • i=1

si p − MC i p

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SLIDE 3

Measuring market structure

  • n (number of firms), or 1/n
  • Ci index

C4 ≡

4

  • i=1

si

  • Herfindahl-Hirsh index (a.k.a. HHI)

H ≡

n

  • i=1

s2

i

  • C4 ∈ [0, 100] (or [0,1]), H ∈ [0, 10, 000] (or [0,1])

What do the extremes mean?

  • Pros and cons of each measure
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SLIDE 4

Intensity of competition and market structure

  • Exhibit 1: pharmaceutical industry in Sweden

− Each month, government auctions right to be main or sole supplier − Bertrand competition − Very high concentration: leading supplier takes from 50 to 70% market

  • Exhibit 2: banking industry in Kenya

− Interest rates around 12%, no variation with respect to # competitors − Very little price price competition − High entry rates; currently more than 40 banks

  • Summary: higher degree of competition, more

concentrated market

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SLIDE 5

Intensity of competition and market structure

  • Suppose different countries only differ on market equilibrium price

(e.g., regulation)

  • Cost function C = F + c q, entry cost E
  • Free entry equilibrium

1 n (p − c) D(p) − F = E

  • Solving for equilibrium

n

  • n =
  • 1

E + F (p − c) D(p)

  • Hence, lower p (more intense competition) implies lower n

(more concentrated market)

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SLIDE 6

Market concentration and market power

  • In previous exercise, vary intensity of competition and find free

entry equilibrium

  • Alternatively, fix degree of competition (specifically, Cournot) and

vary market structure

  • It can be shown that

L = H −ǫ where ǫ is price elasticity of market demand

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SLIDE 7

Example

  • Consider two markets with identical demands

− Market 1: two firms with identical market shares − Market 2: one firm with a 70% market share, two small firms with 15% each

  • Assuming Cournot competition in both markets, where is market

power the greatest?

  • Answer: whichever market has higher HHI

− Market 1: H = 502 + 502 = 5, 000 − Market 2: H = 702 + 152 + 152 = 5, 350

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SLIDE 8

Structure-Conduct-Performance paradigm

  • Structure determines conduct

− e.g.: collusion easier with fewer firms

  • Conduct determines performance

− e.g.: Bertrand implies lower margins than Cournot

  • Structure determines performance

− e.g.: fixing Cournot, L is proportional to H

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SLIDE 9

Structure-Conduct-Performance hypothesis

  • Positive correlation between structure (e.g., H) and performance

(e.g., L), where L is proxied by average profit rate ri ≡ Ri − VC i Ri = p qi − ci qi p qi = p − ci p = mi

  • Weak relation in empirical studies

− poor data − cross industry comparisons: apples and oranges − reverse causality implies opposite correlation

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SLIDE 10

Collusion v efficiency hypotheses

  • Suppose that feedback effects are unimportant: structure

determines performance

  • Suppose higher concentration is correlated with higher profits

(some evidence). What is source of correlation?

  • Collusion hypothesis: variation in degree of collusion
  • Efficiency hypothesis: variation in firm efficiency
  • Either hypothesis is consistent with aggregate correlation,

but narratives and policy implications are very different