Chapter 10 Flashcards
Ways to measure market concentration (3)
1/n. In practice not really used as firms have different market shares
Cm = Σsi –> sum of market shares of the largest m firms
Herfindahl index: H = Σ si^2. Better measure than Cm, but harder to compute as we need all of the market shares (0 < index < 10.000). Index decreases with fewer firms and bigger difference in average market shares.
Measuring market power
Lerner Index: weighted average of each firm’s margin with weights given by the firm’s market share: market share * market power
Cournet equilibrium, firm’s profit
Profit (n) = S(((a-c)/(n+1))^2) - F
Free-entry equilibrium
Characterized by a set of active firms such that no firms wants to enter or exit the market
Profit (current n) => 0 en Profit (current n + 1) <=0
Equilibrium value of n = (a - c) * srqt(S/F) - 1 , round down
Market size and concentration
Relationship between market size (S) and n equilibrium is not proportional. –> approximate quadratic.
Due to increased competition, the equilibrium number of firms varies less than proportional with respect to market size.
Minimum efficient scale (MES)
The lowest point where the plant can produce such that its long run average costs are minimized. It is also the point at which the firm can achieve necessary economies of scale for it to compete effectively within the market.
MES = F / (c’ - c)
Coefficient of scale economies
p = AC / MC = ((F/q)+c) / c = 1 + F / cq
if p > economies of scale
if p < diseconomies of scale
Greater f > greater degree of economies of scale
MES and economies of scale
Barriers to entry
Concentration is generally greater the greater the minimum efficient scale (MES) and the greater the degree of economies of scale
Assumptions model of industry concentration
All firms have access to the same unique available technology
Firms have perfect information
Entry process itself is well coordinated
Firms make their entry decisions sequentially
Maintaining the advantage even when patent expire
Moving down the learning curve, transforming a first-mover advantage into a sustainable competitive advantage
History and market structure
Particular historical details of the evolution of an industry may in some cases determine the long-run market structure in ways that go beyond the simple technological determinants.
Endogenous entry costs
Equilibrium of entrant: equilibrium n = S/F
If entry costs are endogenous, then the number of firms is less sensitive to changes in market size.
When endogenous entry costs are important, the relation between market size and the number of firms if flatter than when entry costs are exogenous
Price regulation and market structure
equilibrium n = (1/(E+F))* (p-c) * D(P)
The more intense market competition is the lower the number of equilibrium firms
Structure-Conduct-Performance paradigm
Propounds that there is a casual relationship between structure, conduct, and performance: structure influences conduct; and both structure and conduct influence performance
- Several reasons why structure influences conduct are discussed in previous chapters
- The more competitively firms behave, the lower the degree of market power and the greater allocative efficiency.
- L = H / - elasticity, exemplifies that structure influences performance. The more concentrated the industry is the greater the degree of market power.
Structure-performance hypothesis
Hypothesis that there is a positive relationship between concentration and market power