Topic 6.-Product differentiation: patterns of price setting (PPT

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Transcript Topic 6.-Product differentiation: patterns of price setting (PPT

Topic 6. Product differentiation (I):
patterns of price setting
Economía Industrial Aplicada
Juan Antonio Máñez Castillejo
Departamento de Estructura Económica
Universidad de Valencia
Index
Topic 7. Product differentiation: patterns of price
setting
1. Introduction
2. Horizontal versus vertical product differentiation
3. The linear city model
3.1 Linear transport costs
3.2 Quadratic transport costs
4. Applications: Coca-Cola versus Pepsi-Cola
5. Conclussions
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1. Introducción
 Aim: To study an oligopoly model relaxing the homogeneous
product assumption, to analyse the effect of product
differentiation on price competition intensity and product choice.
 Main implication of the homogeneous product assumption in an
oligopoly model of price competition (à la Bertrand)
• Bertrand paradox  Price competition between two firms is
a sufficient condition to restores the competitive situation p
=c
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2. Horizontal and vertical product differentiation

Horizontal product differentiation: two products are
differentiated horizontally if, when they are offered at the same price
consumers do not agree on which is the preferred product.
Example: pine washing-up liquid and lemon-washing up liquid

Vertical product differentiation: two products are differentiated
vertically if, when they are offered at the same price consumers
agree on which is the preferred product.
• Example: washing-up liquid with and without product moisturizing add-up.
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Example
Horizontal Dif.
Opel Astra
Ford Focus
Vertical Dif.
Vertical Dif.
Opel Corsa
Ford Fiesta
Horizontal Dif.
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3.1 Linear city model with linear transport costs : assumptions

Consumers are uniformly distributed with unit density along a
segment of L length
0
L

Two firms (firms 1 and 2) are located along the segment

The two firms sell a product that is identical except for the location of
the firm.

The two firms have constant and identical marginal cost c  c1=c2=c

Each consumer buys a single unit of the product.
 Alternative interpretation of the segment as a product characteristic
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3.1 Linear city model with linear transport costs : two-stage
game
Stage 1: the two firms choose simultaneously their location (long-run
decision)
Stage 2: the two firms choose simultaneously their prices (short-run
decision)
We impose maximum product differentiation and so we focus on the
determination of the Nash equilibrium in prices (Stage 2).
F1
F2
0
L
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3.1 Linear city model with linear transport costs : consumers’
utility function

The utility that a consumer i located in X obtains from the purchase of
of the good of firm j is given by:
U i j  r  p j  tx ij
r: reservation price
pj: price of the product of firm j
xij.: distance (along the segment) between the location of consumer i and
the location of firm j
t: transport cost per unit of distance (or alternatively intensity of the
preference for a given product)
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3.1 Linear city model with linear transport costs : transport costs

With linear transport costs per unit of distance :
F1
0
x
L-x
X
F2
L
• Transport cost if the product is bought at firm 1 = tx
• Transport cost if the product is bought at firm 2 = t(L-x)

Total cost of the product = price + transport costs
• Total cost if the product is bought at firm 1 = p1+ tx
• Total cost if the product is bought at firm 2= p2+ t(L-x)
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3.1 Linear city model with linear transport costs : demands
determination
U X ,1  U X ,2
F1
0
d1=x
d2=L-x
X
F2
L
r  p1  tx  r  p 2  t (L  x )
p1  tx  p2  t L  x 
d1  x 
p 2  p1 L
p  p2 L
  d2  L  x  1

2t
2
2t
2
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3.1 Linear city model with linear transport costs : demand properties
 Price elasticity of demand

d 1 p1
p1

0
p1 d 1
p 2  p1  Lt
 Price elasticity of demand and transport costs

t

Lp1
0
2
( p 2  p1  Lt )
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3.1 Linear city model with linear transport costs : demands
determination
 Total cost of buying at 1 = Total cost of buying at 2
p1  tx  p2  t L  x 
p 2  t L  x 
p1  tx
p1  tx 1
p1  tx 0
p1
d2
d1
F1
0
x0
x1
x
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p2
F2
L
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3.1 Linear city model with linear transport costs : firm 1
demand
p14
p13
p2
p12
p11
F1
0
d14
d 13
d 12
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L F
2
d11
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3.1 Linear city model with linear transport costs : Obtaining the
Nash equilibrium in prices (I)
 Maximization problem of firm 1
 p  p1 L 
max 1  d 1  p1  c    2
   p1  c 
p1
2
t
2

d 1 p 2  2p1  c L
F .O .C .

 0
dp1
2t
2
 p1* ( p 2 ) 
p 2  Lt  c
2
 Firm 1 reaction function
 Maximization problem of firm 2
 p  p2 L 
max  2  d 2  p 2  c    1
   p2  c 
p2
2
 2t
F .O .C .
d  2 p1  2p 2  c L

 0
dp 2
2t
2
p1  Lt  c
 p 2* ( p1 ) 
2
 Firm 2 reaction function
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3.1 Linear city model with linear transport costs : Obtaining the
Nash equilibrium in prices (II)

Solving the system of equations given by the two reaction functions
we obtain the price equilibrium: (given locations)
p1c  p2c  Lt  c

Profits for both firms are:
1   2 
p2
1 2
Lt
2
p*1(p2)
p*2(p1)
Lt+c
(Lt+c)/2
(Lt+c)/2
Lt+c
p1
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3.1 Linear city model with linear transport costs : Obtaining the
Nash equilibrium in prices (I)
 Although both products are physically identical, as long as t>0
the price is greater than the marginal cost
p  c  Lt
 Why?:
• The larger is t the more differentiated are the products for the
consumers  the higher is the costs of buying in a further shop.
• The larger is t the lower in the intensity of competition between
firms 1 and 2 (for the consumers located between the two firms).
• When t=0 the products are not differentiated any more  price is
equal to marginal cost as in the Bertrand model with
homogeneous.
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3.1 Linear city model with linear transport costs : Analysis of the
location decisions (I)
 Two extreme cases:
• Maximum product differentiation: if t >0  p>c y >0
• Minimum product differentiation: both firms choose the same location 
no differentiation  Bertrand model with homogeneous products
p1c  p2c  c y 1  2  0
E1 y E 2
p0
E1
p1
E2
p2
p3
E1
E1 y E2
c
0
F1 y F2
L
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3.1 Linear city model with linear transport costs : Analysis of the
location decisions (II)
 With a gain of generality we can assume:
0
F1
F2
a
L-b
L
where a  0 , b 0 y L-a-b  0  It allows the consideration of captive
demands
 If a+b=L  minimum differentiation 
F1,F2
0
a
L-b
If a=b=0  maximum
differentiation
F1
L
a=0
F2
L
b=0
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3.1 Linear city model with linear transport costs : Analysis of the
location decisions (III)


Nash equilibrium in locations is the one in which firm i (i=1,2) takes its
optimal decision of location and price given its rival’s locations an price
decisions
The original result in the Hottelling model (1929): minimum differentiation.
Once prices have been chosen, both firms locate in the centre of the
segment  L/2
p1
c
p2
F1
F2
a a’
0
d1
d 1'
c
L-b
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3.1 Linear city model with linear transport costs : Analysis of the
location decisions (IV)
 This result of minimum differentiation is subject to two important
critiques: (D’ Aspremont et al., 1979)
• Critique 1: Demand discontinuity. Suppose that both firms are located
very close each other
p11
p12
p13
c
p2
p14
F1
d 11
d 12
d 13
F2
a
c
L-b
d 14
0
L
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3.1 Linear city model with linear transport costs : Analysis of the
location decisions (V)
 Critique 2: Suppose that both firms are located at L/2
 There is no product differentiation: each firm has an incentive to
undercut the price of the rival until p1=p2=c.
 D’Aspremont et al. (1979) shows that que a=b=L/2 is not a Nash
equilibrium in locations  both firms have an incentive to deviate from
L/2 to set a p>c y and in this way they would obtain positive profits
p1  p2
c
p11
a’
d 11
Price competition with
homogeneous products
p10  p20  c
a b L 2
d 21
0
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3.2 Linear city model with quadratic transport costs :
Assumptions

It solves the problem of the inexistence of Nash equilibrium in locations
that arises in the model with linear transport cost.

Differences with the linear transport costs model :
• Utility function
U ij  r  p j  t  x ij 
2
• We do not impose maximum product differentiation to obtain the Nash
equilibrium in prices.
0
F1
F2
a
L-b
L
where a  0 , b 0 y L-a-b 0
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3.2 Linear city model with quadratic transport costs :
Discontinuities in demand
 With quadratic transport costs the umbrellas that represent the total
cost of purchase are U-shaped.
0
p2
p10
p11
p12
c
d
0
1
a x L-b
L
d 11
d 12
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3.2 Linear city model with quadratic transport costs :
Obtaining the demands (I)
 The consumer located at X will be indifferent between consuming in
firms 1 and 2 whenever:
U X ,1  U X ,2
0
X
a
x1
d1  a  x 1
L-b
L
x2
d2  b  x 2
r  p1  tx 12  r  p2  tx 22
x1  x 2  L  a  b
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3.2 Linear city model with quadratic transport costs :
Obtaining the demands (II)
 Demands for firms 1 y 2
d 1  p1 , p 2   a  x 1  a 
L a b
d 2  p1 , p 2   b  x 2  b 
L a b
2
2

p 2  p1
2t L  a  b 

p1  p 2
2t L  a  b 
 If p1=p2:
• Firm 1 sells to all the consumers located at the left of its location and
firm 2 sells to all the consumers located at its right.
• Both firms share evenly the consumers located between them.
 The third term catches the sensibility of the demand to price
differentials (differences between the prices of two firms)
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3.2 Linear city model with quadratic transport costs :
Obtaining the equilibrium in prices and locations (II)
 Two-stage game:
• Stage 1: Firms choose locations simultaneously.
• Stage 2: Firms choose prices simultaneously.
 We solve by backwards induction:  each firm anticipates that
its location decision affects not only its demand but also price
competition intensity
•
•
To obtain the Nash equilibrium in prices given locations (a,b).
To obtain the Nash equilibrium in locations given prices.
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3.2 Linear city model with quadratic transport costs :
Obtaining the price equilibrium given locations (I)
 To obtain the price equilibrium, we solve the maximization
problems of firms 1 and 2:
• Maximization problem of firm 1:

L a b
p 2  p1 
Max 1  d 1  p1  c   a 

  p1  c 
p1
2
2t L  a  b  

F.O.C.
d 1
L a b
p  2 p1  c
a 
 2
0
dp1
2
2t L  a  b 
• Maximization problem of firm 2:

L a b

2
Max  2  d 2  p 2  c   a 
p2
F.O.C

p1  p 2 
  p2  c 
2t L  a  b  
d 2
L  a  b p1  2 p 2  c
b 

0
dp 2
2
2t L  a  b 
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3.2 Linear city model with quadratic transport costs :
Obtaining the price equilibrium given locations (II)
 To obtain the price equilibrium, we solve the system of FOCs:

a b 

3
p1c a , b   c  t L  a  b  1 



b a 

3
p 2c a , b   c  t L  a  b  1 


 Properties of the price equilibrium:
• Symmetric eq. : a=b 
p c  p1c  p2c  c  t (L  2a )  apc
• Asymmetric eq. : a  b  p1-p2 = 2/3 t(L-a-b)(a-b)
 That firm located closer the center of the segment sets a
higher price
Si a>b  p1>p2
Si a<b  p2>p1
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3.2 Linear city model with quadratic transport costs :
Obtaining the equilibrium in locations (I)
 In the equilibrium in locations, each firm choose location taking as
given the rival’s location:
• Firm 1 maximizes 1(a,b) choosing a and taking b as given
• Firm 2 maximizes 2(a,b) chooseli b and taking a as given
 D’Aspremont et al. (1979) shows that with quadratic transport costs
the equilibrium in location involoves maximum differentiation : both
firms are located in the ends of the segment
• Each one of the firms choose the furthest possible location from its from
its rival with the aim of differentiating the product and minimizing the
effect of a potential price reduction by the rival on its own demand
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3.2 Linear city model with quadratic transport costs :
Obtaining the equilibrium in locations (II)
 The reduced form of the profit functions show that the location
decision:
1 a , b    p1c (a , b )  c  d 1 a , b , p1c (a , b ), p 2c (a , b ) 
 2 a , b    p 2c (a , b )  c  d 2 a , b , p1c (a , b ), p 2c (a , b ) 
• Has an effect on firms’ demands
• Has an effect on firms’ prices
 The algebraic derivation of the Nash equilibrium in location is quite
complicated, and so we make use of a graphic analysis
 We analyze firm 1 location decision that depends on :
 Direct effect
 Strategic effect
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3.2 Linear city model with quadratic transport costs :
Obtaining the equilibrium in locations (III): direct effect
Direct effect: for a given pair of prices ( p1 , p 2) and a given the location of
firm 2, as firm 1 moves its location towards the location of firm 2 (i.e.
towards the center of the segment) its demand increase, and so its profis.

p2
p1
0
L
a
d1
d1’

a’
L-b
x
x’
Direct effect  minimum differentiation tendency
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3.2 Linear city model with quadratic transport costs :
Obtaining the equilibrium in locations (IV): strategic effect

In our two-stage game, the prices (that are chosen in the second stage)
are not given, they depend on the first-stage locations decision 
strategic effect.

a b 

3
p1c a , b   c  t L  a  b  1 



b a 

3
p 2c a , b   c  t L  a  b  1 
Strategig effect. For a given location for firm 2, as firm 1 moves its
location towards the center (i.e. closer to its rival), product differentiation
decreases  increase of price competition  price reduction 
negative effect on prices  maximum differentiation tendency
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

3.2 Linear city model with quadratic transport costs :
Obtaining the equilibrium in locations (V): strategic effect
p2
p1
p2’
d1
d1 '
0
a
x’ x
L-b
d1
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3.2 Linear city model with quadratic transport costs :
Obtaining the equilibrium in locations (VI): strategic effect
p2
p1
p2’
d1
d1 '
0
d1
a
a’
x’ x
L-b
d1’
L
Strategic effect: maximum differentiation tendency
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3.2 Linear city model with quadratic transport costs :
Obtaining the equilibrium in locations (VI): strategic effect vs. direct effect
Direct effect: minimum differentiation tendency
Strategic effect: maximum differentiation tendency.




D’Aspremont et al. (1979) show analytically that, in general the
strategic effect dominates over the direct one  final result: maximum
differentiation.
Impact of t on the intensity of price competition (that determines the
strategic effect) and on the location decision:
 If t is low, each firm try to separate from its rival to avoid the strategic
effect.
 If t is high, firms locate close (each other) to take advantage of the direct
effect.
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4. Application: Coca-Cola vs. Pepsi-Cola
 Coca-Cola and Pepsi-Cola, the world leaders on the carbonated
colas market, sell horizintally differentiated products.
 Simplifying assumption: the relevant competition dimension is
price ( advertising)
 Laffont, Gasmi y Vuong (1992) analyse price competition
between Coca-Cola and Pepsi-Cola. They estimated using
econometric methods the following demand and marginal
costs functions.
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4. Application: Coca-Cola vs. Pepsi-Cola: demand and costs
functions
 Demand functions for Coca-Cola (product 1) and Pepsi-Cola
(product 2).
Q1 = 63.42 - 3.98 p1 + 2.25 p2
Q2 = 49.52 - 5.48 p2 + 1.40 p1
 Marginal costs for Coca-Cola and Pepsi-Cola
c1=4.96
c2=3.96
 Which is the optimal price for Coca-Cola and Pepsi-Cola?
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4. Application: Coca-Cola vs. Pepsi-Cola: optimal prices
determination

Step 1: solve the maximization problems of Coca-Cola and Pepsi-Cola.
• Coca-Cola’s maximization problem:
Max 1  (p1  4.96)(63.49  3.98p1  2.25p2 )
p1
p1* (p2 )  10.44  0.28p2  Coca-Cola’s reaction function
• Pepsi-cola’s maximization problem:
Max 2  (p2 - 3.96)(49.52 - 5.48p2  1.40p1 )
p2
p2* (p1 )  6.49  0.127 p1  Pepsi-Cola’s reaction function
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4. Application: Coca-Cola vs. Pepsi-Cola: optimal prices
determination (II)
 Step 2: solve the system of reaction functions.
p1=12.72 y p2=8.11
 Coca-Cola sets a price higher than the Pepsi-Cola one.
PPEPSI
PCOCA(pPEPSI)
P*PEPSI
PPEPSIi(pCOCA)
P*COCA
pCOCA
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4. Application: Coca-Cola vs. Pepsi-Cola: optimal prices
determination (III)
 Why Coca-Cola’s price is higher that Pepsi-Cola’s one?
• Cost asymmetries
• Demand asymmetries
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4. Application: Coca-Cola vs. Pepsi-Cola: optimal prices
determination (IV)
 Costs asymmetries:
• Coca-Cola marginal cost (4.96) > Pepsis-Cola marginal cost
(3.96)
 Coca-Cola’s price > Pepsi-Cola’s price
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4. Application: Coca-Cola vs. Pepsi-Cola: optimal prices
determination (V)
 Demand asymmetries
Q1=63.42 - 3.98 p1+ 2.25 p2
p1= p2=p
Q1=63.42 -1.73p
Q2=49.52 -4.08p
Q2=49.52 - 5.48 p2+ 1.40 p1
 Graphic analysis  normalize p=1
• Q1= 61.69 y Q2=45.44
• Q=Q1+Q2=107.13
1. Symmetric Eq.
a=b  Q1=Q2
2. Aymmetric Eq.
a’>b  Q1>Q2
p=1
p=1
a’
L-b
Q1= 53.565
Q2= 53.565
Q1= 61.69
Q1= 45.44
a
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4. Application: Coca-Cola vs. Pepsi-Cola: optimal prices
determination (VI)
 The higher Coca-Cola’s price is due to:
• Higher marginal cost (cost asymmetries)
• Demand asymmetries that favour Coca-Cola
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4. Application: Coca-Cola vs. Pepsi-Cola: optimal prices
determination (VII)
 Do these asymmetries have any additional impact?  price-cost
margin
PCM1 
p1  c 1 12.72  4.96

 0.61
p1
12.72
PCM 2 
p2  c 2 8.11  3.96

 0.51
p2
3.96
 The price-cost margin of Coca-Cola is higher than the Pepsi-Cola’s
one
 Demand asymmetry in favour of Coca-Cola
 Higher market power for Coca-Cola
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5. Concluding Remarks
 Product differentiation solves the Bertrand paradox:
• It allows firms to set price above marginal cost
• It allows firms to obtain positive profits
 Firm will intend to differentiate their products (from those of its
competitors) as much as possible, the aim is to reduce the intensity
of price competition:
• Actual product differentiation
• Perceived product differentiation: increase consumers’ preference for
the products of the firm
Departamento de Estructura Económica
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Departamento de Estructura Económica
46