Chapter 4 Rights Management
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Transcript Chapter 4 Rights Management
Chapter 8 Price Dispersion and
Search Theory
• Price Dispersion
• Search Theory
© 2010 Institute of Information Management
National Chiao Tung University
Price Dispersion
• Fact: (Price Dispersion) Prices of identical
products often vary from one store to another
• Explanation:
– Acquiring information on prices is costly to consumers,
and consumers always weigh the cost of searching
against the expected price reduction associated with
the search process
– Consumer with a high value of time will rationally
refrain from searching for the information on lower
prices and buy the product from the first available
store
– Consumers with a low search cost will find it beneficial
to engage in a search in order to locate the store
selling the lowest price
© 2010 Institute of Information Management
National Chiao Tung University
A Model of Price Dispersion
• Consider an economy with a continuum of
consumers, index by s on the interval [L,H]
according to their cost for going shopping
(H>3L>0)
• Consumers indexed by a high s are high timevalued consumers, whose cost of searching for
the lowest price is high
• There are three stores selling a single product at
zero cost.
– One store, denoted by D is called discount store,
selling the product for a unit price of pD
– Two stores, denoted ND, are expensive (not discount)
stores, are managed by a single ownership that set a
uniform price, pND for the two nondiscount stores
© 2010 Institute of Information Management
National Chiao Tung University
A Model of Price Dispersion (cont’)
L
s
H
Average product price
pD 2 pND
p
3
The loss function of consumer type s
p s if search and purchases at a discount store
Ls D
if purchases at a store randomly
p
© 2010 Institute of Information Management
National Chiao Tung University
A Model of Price Dispersion (cont’)
L
ŝ
H
There exists a consumer denote by ŝ who is indifferent
to the choice between searching and shopping at
random
p 2 pND
pD s D
3
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sˆ
2( pND pD )
3
National Chiao Tung University
A Model of Price Dispersion (cont’)
The discount store’s decision
The demand function
EbD s L
H sˆ H
4( pND pD )
L
3
3
9
The profit function
4( pND pD )
H
E D pD EbD pD L
9
3
Pricing strategy
pD BRD ( pND )
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3 ( H 3L) pND
8
2
National Chiao Tung University
A Model of Price Dispersion (cont’)
The expensive store’s decision
The demand function
EbND
2( H sˆ) 2H 4( pD pND )
3
3
9
The profit function
2H 4( pD pND )
E ND pND EbND pND
3
9
Pricing strategy
pND BRND ( pD )
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3 H pD
4
2
National Chiao Tung University
A Model of Price Dispersion (cont’)
PD
BRND
(2H 3L)
BRD
2
3 ( H 3L)
8
3 H
4
PND
(5H 3L)
4
Price dispersion equilibrium
© 2010 Institute of Information Management
National Chiao Tung University
A Model of Price Dispersion (cont’)
Equilibrium price
e
pD
(2H 3L)
2
e
pND
(5H 3L)
4
sˆe
H 3L
6
e
e
e
e
pD
pND
( pND
pD
)
sˆe
0;
0;
0;
0
Equilibrium demand
EbD
2(2H 3L) 5H 3L EbND
9
18
2
The expected number of shopper in discount store is
greater than the expected number of shoppers at a
expensive store
© 2010 Institute of Information Management
National Chiao Tung University
A Model of Search Theory
• Consider a city with n types of stores
selling identical product, The price
charged by each store of type i is pi=i
• Suppose the consumer visits a store and
receives a price offer of p
• Define v(p) as the consumer’s expected
price reduction from visiting one additional
store, while having a price offer p in hand
p 1 p 2
v( p)
n
n
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1 p2 p
n
2n
National Chiao Tung University
A Model of Search Theory (cont’)
The loss function of the customer
p
if buys
L( p )
s p v( p ) if search one more time
The reservation price p is defined as
v( p ) s
p2 p
v( p )
s
2n
1 1 8ns
p
2
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p
0;
s
p
0; p 1
n
s 0
National Chiao Tung University
A Model of Search Theory (cont’)
L(p)
s p v( p)
p
buy
p
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continue search
National Chiao Tung University
A Model of Search Theory (cont’)
Denote σ the probability that a customer will not buy when he
or she randomly finds visits a store
n p
1 1 8ns
1
n
2n
Denoteμ the expected number of store visits
t
t 1
t 1
1
2n
(1 )
1 1 1 8ns
© 2010 Institute of Information Management
National Chiao Tung University