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Managerial Economics

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Classifies industries as 'competitive' on basis of number of firms ... 'Optus defeats Telstra'... Ormerod model 'Yay' Competition at last...' Ormerod model ... – PowerPoint PPT presentation

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Title: Managerial Economics


1
Managerial Economics
  • Lecture Six
  • Alternate models of markets

2
Recap
  • Conventional model of competition taxonomic
  • Classifies industries as competitive on basis
    of number of firms market shares
  • Lots of firms/small share per firm competitive
  • Price equal to marginal cost
  • Few firms/large share per firm non-competitive
  • Price exceeds marginal cost

3
What is competition?
  • Problems
  • Taxonomy almost impossible to apply
  • Few industries clearly competitive or non
  • Most have few big firms, many small firms
  • Results in weird classifications
  • Computer industry uncompetitive
  • Computer manufacturing is industry 334111 in USA
    Manufacturing Census
  • Top 4 firms had 45.4 of market in 1997 (biggest
    IBM 9th biggest firm in USA 2nd HP 11th biggest)
  • Top 8 68.5
  • Top 20 92.9
  • But also has rapidly falling prices, rising
    quality
  • Is it uncompetitive?

4
What is competition?
  • Theory flawed anyway
  • Corrected theory finds no difference between
    competitive monopoly outcomes
  • Both produce where Price gt Marginal Cost
  • Real firms face constant or falling marginal cost
    anyway!

5
How else to model markets?
  • One alternative see competition as a process
  • Firms compete by differentiating products
  • Process over time reduces real price, increases
    quality
  • Characterisation as competitive comparative
    based on process and outcomes
  • Process
  • whether firms enter/leave industry
  • whether products change over time
  • Outcomes
  • whether price/quality improve
  • Comparative with respect to other industries

6
The motivation
  • Many old monopolies/state enterprises being made
    competitive
  • Entry deregulated
  • Publicly owned assets privatised
  • Success of policy judged according to
    conventional economics
  • IF many firms enter AND original monopolist loses
    dominance THEN competitive
  • The market works
  • ELSE IF new entrants fail and monopolist remains
    dominant THEN uncompetitive
  • The monopolist is exploiting its power
  • Pro-competition regulations used to control
    monopolist, force lower market share, etc.

7
The motivation
  • BUT many monopolists complain
  • Have reduced prices/increased quality
  • Competition fierce
  • Failure of new entrants natural part of
    competition
  • Ormerods approach produce computer model of
    industry with
  • Differentiated firms (offering different
    price/quality combinations)
  • Differentiated consumers (different price/quality
    tradeoffs)
  • See what evolves
  • IF instrumental outcome (price/quality) poor THEN
    industry uncompetitive
  • IF outcome good then competitive
  • Analyse correlation between standard taxonomic
    view of competition instrumental view

8
A Schumpeterian model of an industry
  • Conventional micro models competition with
  • Homogeneous product
  • No quality differences between firms
  • No technical change
  • Quality costs constant
  • Rising marginal costs and falling marginal
    revenue
  • Schumpeter emphasises
  • Differentiated products
  • Quality differences between firms too
  • Technical change
  • Driving force of model/economy explanation for
    profits
  • Shape of costs irrelevant when discontinuities
    apply
  • innovator has lower costs, better quality than
    rivals

9
A Schumpeterian model of competition
  • Archetypal industry telecommunications, post
  • Starts as monopolised industry
  • Deregulation allows new firms to enter
  • Conventional expectation competition will
  • Drive price down quality up
  • Result in original monopolist losing market share
  • Result in many firms in industry
  • Actual results
  • Price often driven down
  • Quality generally up (but sometimes reliability
    problems e.g., electricity in California,
    Queensland)
  • BUT frequently also
  • Original monopolist remains dominant (Telstra)
  • Many entrants fail, industry remains concentrated

10
A Schumpeterian model of competition
  • Regulators often claim negative outcomes mean
    ex-monopoly abusing market power
  • Telstra v Optus, Qantas v Virgin
  • Ex-monopolies often claim outcome evidence that
    industry competitive
  • We cant help it if were better than the new
    guys
  • What is the truth?
  • Anti-competitive behavior? or
  • Thats just how the market works?
  • Ormerods approach model functionally
    competitive industry Rapid innovation in costs
    quality
  • Is there a correlation between outcome (low price
    high quality) and structural picture of
    competition (lots of small firms)?

11
A Schumpeterian model of competition
  • Approach is multi-agent modelling
  • Define artificial agents
  • Consumers who seek best price/quality
    combination
  • Producers who seek most effective price/quality
    combination for gaining market share
  • Run simulation and see what happens
  • Model
  • 1000 consumers
  • Each has different linear preferences for price v
    quality
  • Monopolist has 100 of market (1000 customers) at
    start
  • By definition, a monopolist has a sales network
    which connects it to all consumers in the
    particular market.

12
A Schumpeterian model of competition
  • New entrants come in offers are known by
    (randomly decided) fraction of consumers
  • Consumers can only buy from those companies of
    whose product they are aware. The phrase 'sales
    network' in this paper means the set of
    connections from a firm to consumers.
  • consumers on the network of firm fi are both
    aware of the offer from firm fi and are willing
    to consider buying from it.
  • First new firm might have sales network of (e.g.)
    34 of market (340 customers)
  • Sales network held constant during simulation

13
A Schumpeterian model of competition
  • There are three obvious reasons why new firms in
    the market do not have potential access (in
    general) to all consumers, which can obtain
    either singly or in combination. First, the
    regulator could impose restrictions so that, for
    example and purely by way of illustration from
    the telephone market, a new entrant could be
    permitted to offer international calls but not
    domestic ones. Second, the marketing strategy of
    the firm may be such that not all consumers are
    aware that the firm is making an offer in the
    market. In reality, marketing strategies vary
    widely in effectiveness, and this is reflected in
    our model. Third, the firm itself may
    deliberately target only a small percentage of
    consumers. In the context of British land line
    phone calls, for example, several firms now
    specialise in offering cheap calls to India, say,
    or to the United States. (8)

14
A Schumpeterian model of competition
  • Initial (monopolist) price highest (1) and
    quality lowest (also 1 for convenience)
  • New entrants offer different (randomly allocated)
    price/quality combination between best (0,0)
    (1,1)
  • Consumers can switch if new entrants deal more
    appealing to them than current deal
  • Switch probable only each consumer has (randomly
    allocated) propensity to switch
  • Models real-world uncertainties
  • Costs in switching (ignored in conventional
    theory)
  • Uncertainty re reliability of new supplier
  • Heterogeneity of product means new deal might
    not be relevant to one consumer
  • Inertia too many other things to do

15
A Schumpeterian model of competition
  • product offers are not perfect substitutes
    the lowest (p,q) supplier may specialise in an
    offer which is not very important to a given
    consumer. Someone who makes only local phone
    calls will not be interested in a firm which
    provides only cheap international calls. Second,
    consumers may have doubts about the reliability
    of a previously unknown supplier. there may be
    costs involved in switching. To take an obvious
    example, if changing suppliers involved having to
    change telephone number staying with the
    telecomm example - for most people the savings on
    price would have to be considerable to offset the
    inconvenience involved consumers may simply
    exhibit inertia and stay with their existing
    supplier, perhaps because the savings involved
    are small. (9)

16
A Schumpeterian model of competition
  • 40 iterations (like 40 quarters 10 years)
  • Possibility of new entrant(s) every quarter
  • At each iteration, each firm can alter
    price/quality offering to try to improve
    attractiveness to market
  • Firms desire to move to most popular (on
    average) price/quality combination
  • Probability, not certainty of switch
  • The ability of the firm to do achieve the
    desired (p,q) depends on the firms flexibility
    level ji. (10)
  • Models variations in internal flexibility, etc.

17
A Schumpeterian model of competition
  • After new price/quality offers made, consumers
    can decide to switch again
  • Consumers then review their choice of suppliers
    given the revised set of (p,q) from existing
    suppliers, and given the (p,q) offered by new
    entrants (if any) in that period. (10)
  • Process causes jiggling of price/quality offers
    market shares over time
  • Average price quality tend to rise
  • What happens to structure of industry?
  • Is price lower, quality higher when market shares
    small?
  • Simulation run 1,000 times to see overall
    tendencies

18
A Schumpeterian model of competition
  • Price outcome
  • Not one single market price
  • Each firm offers different price
  • Average price tends towards competitive (0)
    outcome
  • The single most frequently observed outcomes for
    the market price is in the range 0.05-0.10. In
    other words, price does fall to a level close to
    the minimum which is feasible.
  • However occasionally price is high

19
A Schumpeterian model of competition
  • The mean level of market price after 40 periods
    is 0.145, with a minimum of 0.00007 and a maximum
    of 0.650. The inter-quartile range from 25-75
    of outcomes is between 0.057 and 0.206. (17)
  • Quality behaves similarly quality rises (tends
    towards 0)
  • So outcomes competitive what about structure?
  • Not competitive, according to conventional
    theory
  • Monopolist hangs on to substantial share of
    market
  • Quite frequently, the incumbent monopolist
    retains a very high market share The average
    market share of the monopolist after 40 periods
    is 53.5 per cent, with a minimum of 3.4 and a
    maximum of 100 per cent. The inter-quartile range
    is wide, between 32.1 and 75.9 per cent. (18)

20
A Schumpeterian model of competition
  • Important factor in eventual market share is
    flexibility of monopolistability to match best
    price/quality offer of new entrants

21
A Schumpeterian model of competition
  • A high level of flexibility is by no means a
    guarantee of a high eventual market share, but
    the simple correlation between the two variables
    is 0.712. (19)

22
A Schumpeterian model of competition
  • Many new entrants fail in that market share
    becomes zero
  • Grim outcome in terms of standard theory but
    very similar to reality
  • The mean number of firms is 8.2, so that on
    average almost 12 out of the 20 firms fail
    completely i.e. have no sales at all. This seems
    compatible with the outcomes which are observed
    in practice (see, for example, Carroll and Hannan
    (2000)). (20)

23
A Schumpeterian model of competition
  • Market share outcome uncompetitive on standard
    theory
  • But results fit data
  • a good approximation to the size distribution of
    the largest 8 firms after 40 periods is provided
    by a power law. explained later Axtel (2001)
    shows that this a general characteristic of the
    distribution of firm sizes in the United States.
    (21)
  • A log-log least squares fit of average market
    share in Figure 6 on the rank of the firm by
    market share gives an R2 of 0.983 and an
    estimated exponent of 2.09 (21)

24
A Schumpeterian model of competition
  • Would standard competition policy
  • Reduce share of ex-monopoly/largest firm
  • improve outcomes?
  • it is often thought that reducing the market
    share of a monopolist (for example by competition
    policy) will ensure lower prices. (23)
  • Regression shows almost no relationship between
    monopolist share of market and market price
  • We can examine whether there is any connection
    here between the eventual market share of the
    monopolist and the prevailing market price The
    simple correlation between the two is 0.014.
    (23-24)

25
Aside whats happening to electricity price?
  • Competition policy forces marginal cost style
    bidding on suppliers. Price pattern over time is

Suppliers make 30 of revenue in 0.2 of year ½
a day!
26
A Schumpeterian model of competition
  • Effectively no correlation between market share
    of monopolist market price
  • What about market price number of firms?
  • standard economic theory implies a relationship
    between the equilibrium market price and the
    number of firms in the market. The fewer the
    number of firms, the more the price will be above
    the level which just covers both costs and a
    normal rate of profit. (24)

27
A Schumpeterian model of competition
  • Figure 8 below plots the relationship between
    the eventual market price and the number of firms
    in the market. It is clear that there is little
    or no connection between the two. The simple
    correlation is in fact 0.05.
  • a very low price can obtain with just one or two
    firms in the market. Equally, a relative high
    price may exist with 10 or even 15 firms in the
    market. (26)
  • Compare this to Cournot oligopoly theory

28
A Schumpeterian model of competition
  • The key difference between our model and that
    of, say, the Cournot model is that with the
    latter there is a deterministic relationship
    between the number of firms in the market and the
    market price which obtains. The more the number
    of firms, the closer the price becomes to the
    theoretical level of a perfectly competitive
    market. In our model, in any particular solution
    of it there is no necessary connection at all
    between price and the number of firms This
    difference between the Cournot model and our own
    is much more important than any similarities.
    (26)
  • However, despite this empirical difference,
    outcome of model better than conventional theory

29
A Schumpeterian model of competition
  • Purely by coincidence, given the average number
    of firms which survive in 1,000 solutions of the
    model, the average price across these solutions
    is very similar to that of the in the standard
    Cournot model.
  • On average, after 5 years there are 5.54 firms in
    total in the market in the simulations of our
    model, rising to 8.21 after 10 years. Two widely
    used illustrations of the Cournot model are with
    a linear and log-linear market demand function,
    respectively. With a linear demand function, the
    mark-up on cost is (1 1/(N1)), and with a
    log-linear one it is (1 1/(N-1)). These imply,
    respectively, a market price after 5 years which
    is 15 and 22 per cent above cost. After 10 years
    the figures are 11 and 14 per cent above cost.
    (26-27)

30
A Schumpeterian model of competition
  • Conclusions
  • the market price generally falls from the level
    set by the initial monopolist to close to the
    minimum which is both technologically feasible
    and consistent with a normal margin of profit
  • the market price is on average very similar to
    that implied by the Cournot equilibrium given the
    average number of firms with non-zero sales
  • however, in any individual solution of the model,
    the market price which eventually obtains is not
    really influenced by the number of firms which
    remain in the market
  • the monopolist retains, in general, a substantial
    share of the market

31
A Schumpeterian model of competition
  • judged on the conventional criterion of the
    distribution of market shares, at any point in
    time the market structure is, in general,
    anti-competitive. But as the outcome on market
    price shows, the model is highly competitive in
    any meaningful sense of the word.
  • the majority of new entrants fail, which seems
    to fit empirical evidence
  • the distribution of market share is approximated
    closely by a power law, which again conforms with
    empirical evidence. (28-29)

32
A Schumpeterian model of competition
  • Implications for competition policy
  • The results of this approach to the issue should
    give regulators and policy makers pause for
    thought when considering contestable markets. For
    example, it is not the case that a competitive
    market (in the sense of having a competitive
    price), will necessarily have lots of firms, or
    will have driven down the original incumbents
    market share. Further, although market share is
    often used as an indicator indeed as a primary
    indicator of the presence of monopoly power
    which may lead to anti-competitive behaviour,
    these results show that this can be seriously
    misleading. Finally, the existence of an
    incumbent by itself does not necessarily tell us
    much about whether the price is low or high and
    whether the market is competitive or not. (29)

33
A Schumpeterian model of competition
  • Ormerod/multi-agent model very different to
    conventional economics
  • Rather than single equations with simplifying
    assumptions, computer program with many realistic
    assumptions
  • some unrealistic ones can be altered later (e.g.,
    no change in firms networks over time)
  • Outcome comparable to actual statistics
  • Majority of markets in USA dominated by top 8
    firms
  • Firm size follows power law
  • Wide range of firm sizes in most industries
  • Industries neither monopoly nor oligopoly nor
    competitive

34
Power Laws an empirical regularity
  • Power law
  • Characteristic of systems where components
    interact with each other
  • E.g., tectonic plates on earths crust
  • Movement by one plate causes movements in others
  • Slip along one perimeter increases likelihood of
    slip on another
  • Large release of energy reduces overall energy
  • So large quake followed by other large quakes
  • Period of high seismic activity followed by
    period of low
  • Results in linear relationship between log of
    size of event and log of frequency
  • Earthquake data is classic power law example
  • But many otherse.g., word usage in a language

35
Power Laws an empirical regularity
  • Log of number of earthquakes of size X is a
    times log of X
  • Log of number of species extinctions of size X
    is a times log of X
  • Log of number of meteor impacts of size X is a
    times log of X
  • In case of market competition
  • Log of number of firms of size X in an industry
    is a times log of X
  • Firstly, earthquake data example
  • Plot of log of magnitudes of earthquakes (log of
    4 on Richter scale 4) against log of frequency
    (log of -1 1 such quake every ten years)

36
Power Laws an empirical regularity
  • Example Earthquakes in S.E. USA

1000
10
Number/Year?
1
0.1 10-1
Richter scale?
37
Power Law in USA firm size
  • Size distribution of US firms follows similar
    law
  • Plot of log of employees against log of per cent
    of firms with that many employees is straight
    line
  • OLS regression line through the data has a slope
    of 2.059 and adjusted R2 0.992) (Axtell 2001
    1819)

38
Power Law in USA firm size
  • Same relationship turns up when analysed in terms
    of log of revenue (so 1061 million) and log of
    percentage of firms with that much revenue
    (roughly 10-1 or 1/10 10)

39
Power Law in USA firm size
  • Axell comments that The Zipf Power Law
    distribution is an unambiguous target that any
    empirically accurate theory of the firm must
    hit. (1820)
  • Ormerod model generates power law with exponent
    -2.09
  • Conventional economic models (monopoly,
    oligopoly, monopolistic competition) dont fit
    power law
  • All firms of one size no firms of any other size

40
Ormerod model
  • Standard economic model a set of (unfortunately
    false!) assumptions
  • Rising marginal cost
  • Homogeneous product, undifferentiated consumers
  • Price competition only
  • And mathematical maximisation equations
  • (True formula) Maximise profit by setting gap
    between marginal revenue marginal cost equal to
    (n-1)/n times gap between price and marginal
    cost
  • Multi-agent model a computer simulation
  • Explaining the program

41
Ormerod model
  • (1) Creates arrays to store information about
  • Consumers
  • consumers(,1) rand(1000,1) price/quality
    weighting
  • consumers(,2) rand(1000,1) switch prob.
  • consumers(,3) 1 firm purchasing from
  • Firms
  • suppliers(1,1)1 Monopolist market penetration
  • suppliers(1,2)1 Monopolist initial price
  • suppliers(1,3)1 Monopolist initial quality
  • suppliers(1,4)mean(consumers(,1))suppliers(1,2)
    (1-mean(consumers(,1))) suppliers(1,3)
    Consumer rating of monopoly
  • suppliers(1,5)rand(1,1) Monopolist flexibility

42
Ormerod model
  • Network between them (which customers buy from
    which firms)
  • consfirm(,1) ones(1000,1) All consumers
    connected to monopolist
  • Then for 40 iterations
  • for k240 k1 is when monopoly only firm
  • IF there are less than 20 firms already
  • if firms lt 20
  • THEN create new firm(s) (probabilistically)
  • newfirms round(1/5 rand(1,1))
  • Allocate initial properties of each new entrant

43
Ormerod model
  • for createnew 1newfirms
  • suppliers(firmscreatenew-1,1)rand(1,1)
    market penetration and also
  • Initial Price offered
  • Initial quality offered
  • Average consumer rating of initial offers
  • Firm Flexibility
  • How many consumers on firms network
  • network_size round(suppliers(firmscreatenew-1,1
    ) 1000)
  • Each consumer then rates each firm according to
    own preferences for price quality

44
Ormerod model
  • for i11000 for each consumer
  • Rate offerings of all firms
  • offers ( consumers(i,1) suppliers(,2)
    (1-consumers(i,1)) suppliers(,3) ) .
    full(consfirm(i,)')
  • Work out best offer
  • bestoffer,bestofferfirm min(offers(find(offers
    )))
  • Toss a coin based on individual propensity to
    switch
  • prob_change sqrt(consumers(i,2) rand(1,1))
  • Switch if coin comes up heads
  • if prob_change gt 0.5
  • consumers(i,3)bestofferfirm
  • end

45
Ormerod model
  • Next firms work out best practice
  • C,I min(suppliers(actual_suppliers,4))
  • Toss a coin
  • for i1firms
  • dice rand(1,1)
  • prob_change suppliers(i,5) dice
  • If coin comes up heads
  • if prob_change gt 1
  • Copy offerings of best practice firm
  • suppliers(i,2)suppliers(I,2)
  • suppliers(i,3)suppliers(I,3)
  • end

46
Ormerod model
  • Process continues to next round and each stage
    graphed
  • Ormerods program repeats process 1,000 times and
    records outcomes of each run.
  • This program runs once (40 iterations) and shows
    market outcome at each time step (1 iteration 3
    months real time)
  • Similar qualitative outcomes to Ormerod program
  • Monopolist tends to hang on to lions share of
    market
  • But competitive outcome (falling price/rising
    quality) independent of number of firms
  • A few sample runs

47
Ormerod model
  • (1) A monopolist with the lot

48
Ormerod model
  • Optus defeats Telstra

49
Ormerod model
  • Yay Competition at last

50
Ormerod model
  • Wide range of structural outcomes
  • Little difference in practical outcomes
  • Price still falls
  • Quality still rises
  • The bottom line

Competition is a process, not a structure
  • Next week
  • Macroeconomics from a management perspective
  • Managing a firm in a cyclical economy
  • Aside dynamic version of last weeks model
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