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ESTIMATION OF DEMAND FOR ORANGES (CASE STUDY)
The science and art of converting the qualitative
understandings of a market into quantitative data e.g.
regression method, market experiments etc.
 It is a prediction focusing on future consumer behavior.
 Demand estimation for the firm’s product is essential
and continuing.
 It provides managers with accurate way to predict the
future demand as well as set of elasticities.
DEFINITION:
The act of conducting such an
investigation or test. It is testing
a market that is segmented to
discover new opportunities for
organizations.
Method
1
Method
3
Method
2
Method
1
Select several markets with similar
socio-economic characteristics and
change the commodity price in some
markets/ stores.
Method
2
By using census data / surveys data
various markets /firms can also
determine effects such as age, family
size etc.
Method
3
Alternatively, firms could change 1 at a
time each of the determinants of
demand such as: price of the good or
service, income of buyers, tastes or
preferences of consumers.
 Conducted on a large scale to
ensure validity.
 Consumers are not aware of the
experiment.
 Determine best pricing strategy.
 Testing different packaging.
 Using statistical technique to
estimate demand.
 Too limited scale and fairly short
period of time.
 Extraneous occurrences may
result in uncontrolled
experiments.
 Competitors could try to
sabotage the experiment.
 Competitors could gain useful
information.
 Firm might permanently lose
customers.
DEFINITION :
It is the change in quantity demand due to the change in
prices in terms of percentage.
TYPES :
 Point Elasticity.
 Arc Elasticity.
 Income Elasticity.
 Cross price Elasticity.
FORMULA:
Change in Qd/change in price * Price/Qd
EXAMPLE:
ELABORATION:
• A rise in price of apple by 5 leads to a decrease in its quantity
demanded by 6.
• Similarly, a decrease in price of bananas by 6 leads to an
increase in its quantity demanded by 7.
Commodity Before
Price Quantity
After
Price Quantity
Apple 5 10 10 4
Bananas 12 5 6 12
CATEGORY CHARACTERISTICS
Elastic Value between 1 and infinity,
demand responds strongly to
price
Unitary Elastic Value 1, demand responds in
exact proportion as price,
price changes do not affect
revenue
Inelastic Value between 0 and 1,
demand responds weakly to
the price
 Nature of commodity(necessity inelastic, luxury elastic)
 Substitutes(can be used for the same purpose like Pepsi
and coke)
 Complements(used together like hockey sticks n hockey
balls)
 Income(increase and decrease)
 Taste and Fashion
 Weather Conditions(cold or hot)
DEFINITION:
“The demand for a commodity also depends on the price of related (i.e.
Substitute and Complimentary Commodities”
CATEGORIZING OF CROSS PRICE ELASTICITY OF
DEMAND:
SUBSTITUTE GOODS:
Are goods that can be used in exchange for one another.
FOR EXAMPLES:
Pepsi and Coca Cola
COMPLIMENTS GOODS:
Are goods that people tend to consume hand in hand.
FOR EXAMPLES:
Mobile Phone and Recharge
Boots and Laces
Tennis Balls and Tennis Rackets
INDEPENDENT GOODS:
These are goods that show no relationship.
FOR EXAMPLES:
Increase in Price of Car does not effect the
Demand of Cloth.
FORMULA:
Exy = Qx X Py
Py X Qxz
FOR EXAMPLE:
If there is an increase in the Price of Tea by 10%
and the Quantity Demand for Coffee increased by 2%, then
Cross Elasticity of Demand = 2/10 = 0.2
CATEGORY CHARACTERISTICS
SUBSTITUTES E>0) When goods are Substitute of
each other then Cross Price Elasticity
of Demand is Positive
COMPLIMENTS (E<0) In case of Complimentary
goods, Cross Price Elasticity of
Demand is Negative.
INDEPENDENT E=0) When Cross Price Elasticity of
Demand is Zero
INTRODUCTION:
 University of Florida conducted a market experiment.
 To determine price elasticity and cross price elasticity
of demand.
 For three types of oranges:
1.Florida Indian
2.Florida Interior
3.California
 Grand Rapids was chosen as the site for market
experiment because of its demographic characteristics.
 Nine super market participated in the experiment.
 The experiment was conducted by changing the
price each day for 31 consecutive days.
 More than 9250 dozen oranges were sold .
 Each super market provided with an adequate
supply, therefore effect of supply should be ignored.
 Time period of experiment was short, therefore no
effect on determinants of demand other than price.
TYPE OF
ORANGES
FLORIDA
INDIAN RIVER
FLORIDA
INTERIOR
CALIFORNIA
FLORIDA
INDIAN RIVER
-3.07 +1.56 +0.01
FLORIDA
INTERIOR
+1.16 -3.01 +0.14
CALIFORNIA 10.18 +0.09 -2.76
 The elasticity of demand for all three types of
oranges was fairly high.
 The off diagonal entries in the table shows the
cross price elasticities of demand.
 The price elasticity of demand for the Indian
River oranges of -3.07, indicates that 1%
increase in price leads to 3.07% decline in
quantity demand.
 Cross price elasticity of demand between two
types of Florida oranges were larger than 1
and close to zero with respect to California
oranges.
 For 1% change in price of Florida Indian River
oranges; there is a high change in demand for
Florida and vice versa.
 Consumer regarded the two types of Florida
oranges as close substitute, they did not view
California as such.
 While pricing, the producers of the two Florida
varieties must carefully consider the price of each
other but need not be concerned with the price
of California oranges.
 The article is about estimating the demand of medicam
toothpaste.
 To determine price elasticity and cross price elasticity of
demand.
 For three types of toothpastes.
 Medicam toothpaste.
 Shield toothbrush.
 Colgate toothpaste.
ESTIMATION OF DEMAND FOR ORANGES (CASE STUDY)
To examine the determinants of demand, we have
formulated following linear demand function:
Qm = f(pm,ps,pc,adv,tr)
Qm=demand of medicam toothpaste in units
Pm=price of medicam in Pakistani rupees
ps=price of shield toothbrush in Pakistani rupees
Pc=price of Colgate in Pakistani rupees
Adv=expenditure of advertisement in Pakistani rupees
TR=total revenue of the firm in Pakistani rupees
Variable Co-
Efficient
T. Statistics Probability
Price of medicam -372.32 -2.87 0.00
Price of shield
brush
Price of Colgate
-342.97
32.27
-2.81
0.28
0.00
0.77
Advertisement 0.01 1.78 0.08
Total revenue 0.001 1.98 0.05
R.Squared 0.81 T. Statistics 0.00
Variable Coefficient
Price elasticity of demand -0.15
Cross price elasticity of demand with respect to price
of shield toothbrush (complementary commodity)
-0.05
Cross price elasticity of demand with respect to price
of Colgate toothpaste (substitute commodity)
0.01
Advertisement elasticity
of demand
0.07
0.02
Total sales elasticity of
demand
 The first variable is price of medicam toothpaste that is
endogenous.
 Negative relationship between price of medicam toothpaste
and demand for medicam toothpaste.
 Negative sign show price of medicam increase its demand
will decrease.
 Coefficient show price of medicam decrease by 1 rupee.
 Price of toothbrush increase the demand of toothpaste will
decrease due to complementary nature
 It may 1 rupee decline.
 Negative related.
 Substitute commodity .
 Positive direct relationship.
ESTIMATION OF DEMAND FOR ORANGES (CASE STUDY)

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ESTIMATION OF DEMAND FOR ORANGES (CASE STUDY)

  • 2. The science and art of converting the qualitative understandings of a market into quantitative data e.g. regression method, market experiments etc.  It is a prediction focusing on future consumer behavior.  Demand estimation for the firm’s product is essential and continuing.  It provides managers with accurate way to predict the future demand as well as set of elasticities.
  • 3. DEFINITION: The act of conducting such an investigation or test. It is testing a market that is segmented to discover new opportunities for organizations.
  • 5. Method 1 Select several markets with similar socio-economic characteristics and change the commodity price in some markets/ stores.
  • 6. Method 2 By using census data / surveys data various markets /firms can also determine effects such as age, family size etc.
  • 7. Method 3 Alternatively, firms could change 1 at a time each of the determinants of demand such as: price of the good or service, income of buyers, tastes or preferences of consumers.
  • 8.  Conducted on a large scale to ensure validity.  Consumers are not aware of the experiment.  Determine best pricing strategy.  Testing different packaging.  Using statistical technique to estimate demand.
  • 9.  Too limited scale and fairly short period of time.  Extraneous occurrences may result in uncontrolled experiments.  Competitors could try to sabotage the experiment.  Competitors could gain useful information.  Firm might permanently lose customers.
  • 10. DEFINITION : It is the change in quantity demand due to the change in prices in terms of percentage. TYPES :  Point Elasticity.  Arc Elasticity.  Income Elasticity.  Cross price Elasticity.
  • 11. FORMULA: Change in Qd/change in price * Price/Qd EXAMPLE: ELABORATION: • A rise in price of apple by 5 leads to a decrease in its quantity demanded by 6. • Similarly, a decrease in price of bananas by 6 leads to an increase in its quantity demanded by 7. Commodity Before Price Quantity After Price Quantity Apple 5 10 10 4 Bananas 12 5 6 12
  • 12. CATEGORY CHARACTERISTICS Elastic Value between 1 and infinity, demand responds strongly to price Unitary Elastic Value 1, demand responds in exact proportion as price, price changes do not affect revenue Inelastic Value between 0 and 1, demand responds weakly to the price
  • 13.  Nature of commodity(necessity inelastic, luxury elastic)  Substitutes(can be used for the same purpose like Pepsi and coke)  Complements(used together like hockey sticks n hockey balls)  Income(increase and decrease)  Taste and Fashion  Weather Conditions(cold or hot)
  • 14. DEFINITION: “The demand for a commodity also depends on the price of related (i.e. Substitute and Complimentary Commodities” CATEGORIZING OF CROSS PRICE ELASTICITY OF DEMAND: SUBSTITUTE GOODS: Are goods that can be used in exchange for one another.
  • 15. FOR EXAMPLES: Pepsi and Coca Cola COMPLIMENTS GOODS: Are goods that people tend to consume hand in hand. FOR EXAMPLES: Mobile Phone and Recharge Boots and Laces Tennis Balls and Tennis Rackets
  • 16. INDEPENDENT GOODS: These are goods that show no relationship. FOR EXAMPLES: Increase in Price of Car does not effect the Demand of Cloth. FORMULA: Exy = Qx X Py Py X Qxz FOR EXAMPLE: If there is an increase in the Price of Tea by 10% and the Quantity Demand for Coffee increased by 2%, then Cross Elasticity of Demand = 2/10 = 0.2
  • 17. CATEGORY CHARACTERISTICS SUBSTITUTES E>0) When goods are Substitute of each other then Cross Price Elasticity of Demand is Positive COMPLIMENTS (E<0) In case of Complimentary goods, Cross Price Elasticity of Demand is Negative. INDEPENDENT E=0) When Cross Price Elasticity of Demand is Zero
  • 18. INTRODUCTION:  University of Florida conducted a market experiment.  To determine price elasticity and cross price elasticity of demand.  For three types of oranges: 1.Florida Indian 2.Florida Interior 3.California  Grand Rapids was chosen as the site for market experiment because of its demographic characteristics.
  • 19.  Nine super market participated in the experiment.  The experiment was conducted by changing the price each day for 31 consecutive days.  More than 9250 dozen oranges were sold .  Each super market provided with an adequate supply, therefore effect of supply should be ignored.  Time period of experiment was short, therefore no effect on determinants of demand other than price.
  • 20. TYPE OF ORANGES FLORIDA INDIAN RIVER FLORIDA INTERIOR CALIFORNIA FLORIDA INDIAN RIVER -3.07 +1.56 +0.01 FLORIDA INTERIOR +1.16 -3.01 +0.14 CALIFORNIA 10.18 +0.09 -2.76
  • 21.  The elasticity of demand for all three types of oranges was fairly high.  The off diagonal entries in the table shows the cross price elasticities of demand.  The price elasticity of demand for the Indian River oranges of -3.07, indicates that 1% increase in price leads to 3.07% decline in quantity demand.  Cross price elasticity of demand between two types of Florida oranges were larger than 1 and close to zero with respect to California oranges.
  • 22.  For 1% change in price of Florida Indian River oranges; there is a high change in demand for Florida and vice versa.  Consumer regarded the two types of Florida oranges as close substitute, they did not view California as such.  While pricing, the producers of the two Florida varieties must carefully consider the price of each other but need not be concerned with the price of California oranges.
  • 23.  The article is about estimating the demand of medicam toothpaste.  To determine price elasticity and cross price elasticity of demand.  For three types of toothpastes.  Medicam toothpaste.  Shield toothbrush.  Colgate toothpaste.
  • 25. To examine the determinants of demand, we have formulated following linear demand function: Qm = f(pm,ps,pc,adv,tr) Qm=demand of medicam toothpaste in units Pm=price of medicam in Pakistani rupees ps=price of shield toothbrush in Pakistani rupees Pc=price of Colgate in Pakistani rupees Adv=expenditure of advertisement in Pakistani rupees TR=total revenue of the firm in Pakistani rupees
  • 26. Variable Co- Efficient T. Statistics Probability Price of medicam -372.32 -2.87 0.00 Price of shield brush Price of Colgate -342.97 32.27 -2.81 0.28 0.00 0.77 Advertisement 0.01 1.78 0.08 Total revenue 0.001 1.98 0.05 R.Squared 0.81 T. Statistics 0.00
  • 27. Variable Coefficient Price elasticity of demand -0.15 Cross price elasticity of demand with respect to price of shield toothbrush (complementary commodity) -0.05 Cross price elasticity of demand with respect to price of Colgate toothpaste (substitute commodity) 0.01 Advertisement elasticity of demand 0.07 0.02 Total sales elasticity of demand
  • 28.  The first variable is price of medicam toothpaste that is endogenous.  Negative relationship between price of medicam toothpaste and demand for medicam toothpaste.  Negative sign show price of medicam increase its demand will decrease.  Coefficient show price of medicam decrease by 1 rupee.  Price of toothbrush increase the demand of toothpaste will decrease due to complementary nature  It may 1 rupee decline.
  • 29.  Negative related.  Substitute commodity .  Positive direct relationship.