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Review Own price elasticity Empirical estimation of demand curve Linear and log-log model...

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Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.
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Page 1: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Review

Own price elasticity

Empirical estimation of demand curve

Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Page 2: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Introduction

Price dispersion – different prices for the same product - is prevalent in the marketplace

The “law of one price” is dead

Example: Microsoft software version and upgrade prices

Example: Prices of 1/3 liter Coca-Cola cans in Germany

Page 3: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Point of Sale Price (DM) Index

1. Large supermarket 0.64 100

2. Grocery store 0.69 108

3. Bakery 0.80 125

4. Vending m/c – university 0.90 141

5. Gas station 1.20 188

6. Vending m/c – street 1.50 243

7. Newsstand - street 1.60 250

8. Newsstand – airport 2.00 312

9. Newsstand – Train station 2.20 344

Prices of 1/3 liter Coca-Cola cans

Page 4: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Example: Student Rates

Why do software manufacturers have lower rates for students?

One explanation is that they have lower willingness to pay & higher elasticity than business users.

Charging two prices is more profitable

Page 5: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Example: Airline Pricing

Why do airlines have “first class” rates often 2-3 times higher than cabin?

There is a small group of “elite” customers who are less price elastic than “regular” customers

It is more profitable to charge two prices

The “elites” must be “fenced in” from buying cabin seats by making cabin seats uncomfortable

Page 6: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Illustration of Benefits of Price Customization

Price ($)

c=10

0 1000

100 Demand curve

Gross Margins (p-c)*qp

q

Page 7: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Remember the Meaning of Demand Curve

Price ($)

0

The demand curve is an aggregation of the demands of individual or segment, who have different reservation prices (max. willingness to pay)

Ideally, charge each customer their reservation price (as long as it is above c) – (i) no profitable customer is excluded from buying and (ii) no money left on table.

q

Page 8: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

A Single Price is Inefficient

Price ($)

c=10

0 1000

100Profit (p*-c)q*

p*No trade – deadweight loss

Money left on the table

q

Page 9: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Calculation

The demand function is p = 100 – 0.1q

The profit-maximizing price is

The demand at the profit maximizing price is

The profit (gross margins) is

p* = (a+c)/2 = $55

q* = (a-c)/2b = 450

(p*-c)q* = $20250

Page 10: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Demonstration of Benefits Using 2 Price Points

Price ($)

0 1000

100

p2*

q1*

c

p1*

q2*

Rule of 1/3 for linear demand functions – 33% higher profits!

Page 11: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Calculation

Assume that we can put a “fence” that prevents higher price customers from paying the lower price, also, c=$10

The demand function is q= D(p) = 1000 – 10p Profit at prices p1 and p2 are

The profit-maximizing prices are

The maximized profit is

(p1-c)D(p1)+(p2-c)(D(p2)-D(p1))

p2* =$40, p1*=$70

(70-10)*300+(40-10)(600-300)=$27000

q = A – Bp

p = a – bq

Page 12: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Calculation

In general, in the case of the linear demand, constant variable cost and two prices, the profit-maximizing prices are

p2* = (2c + a)/3, or p2* = (2cB + A)/3B

p1* = (2a + c)/3, or p1* = (2A + cB)/3B

q = A – Bp

p = a – bq

Page 13: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

This is Price Discrimination

Charging different prices to different people for the same (or similar) product.

Since “discrimination” has a negative connotation, call it “price customization”

A useful result - Most of the benefit of price customization may be realized with relatively few price points

Page 14: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Implementation

Key problem: How do we prevent higher willingness-to-pay customers from paying the price meant for lower willingness-to-pay customers?

Place “fences” that corral customers

Page 15: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Methods of “Fence-Building”

Product-line sort

Controlled availability

Sort on buyer characteristics

Sort on transaction characteristics

Page 16: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Product-line sort

Airlines – first class and economy class seats Proctor-Silex irons ($54.95 top of line model versus

$49.95 same model without a LED light) Encyclopedia Britannica (Utilitarian cover, $999,

Leather bound, $4000) Cars (same engine Acura $30,000, Accord $25,000) Based on impatience

Books appear first in hardcover then paperback Movies appear first in theaters, then in discount cinema, then

in video stores

Page 17: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

17

Examples Product-Line Sort

Basic SRP $199.95 Pro SRP $279.95All in Basic +Create Customized forms,Tools to Track add’l items

Premier SRP $399.99All in Pro + Daily Sales Summary,Retail Specific Reports

Standard SRP $219.99 Professional SRP $299.99All in Standard +MS Access

Developer SRP $529.99Development Tools to BuildOwn Applications

Page 18: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Sort on Transaction Characteristics

Airline seats are more expensive closer to the take-off date

CD player purchased with car is more expensive than one installed later

Quantity discounts Water Buying clubs Season discounts Idea is that users value incremental quantities less.

Alternatively, large users have good outside options hence have lower willingness to pay

Page 19: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Controlled Availability

Victoria’s Secret offered catalogs with higher discounts to male consumers

GM gave $1500 (nontransferable) coupons only to Oldsmobile consumers who expressed dissatisfaction

Manufacturers frequently negotiate better rates for larger customers

French Telecom gave non-advertised lower prices only when subscribers called and asked, thereby revealing their price sensitivity

Consumers in Japan, UK pay more for identical clothes, cosmetics, electronics than US consumers, but less for pharmaceuticals

Consider arbitrage, gray market issues Consider fairness considerations Legal implications

Page 20: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Sort on Buyer Characteristics Kids free/ discount

Families with Kids are willing to pay less per person. Kids age can be easily verified (i.e., at low cost)

Senior citizens discount

Software upgrade discount Current users have less incentive to renew software

Student discount Students willing/able to pay less

Page 21: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Novell Netware Pricing – An Example of Quantity Discounts

No. of users Site license fee

Price/user

5 $396 $79.60

10 $796 $79.20

25 $1196 $37.84

50 $1596 $31.92

100 $2236 $22.36

250 $3996 $15.98

Page 22: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Price Customization Across Markets

Charge higher prices at places where less price sensitive buyers purchase

Price sensitive and price-insensitive buyers naturally purchase at different locations or…

Insensitive buyers will not change purchase location to take advantage of the price difference

Page 23: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Devil lies in the details! Specific steps of price customization

Identify customers who are price-sensitive Give price discount to them Reduce stockpiling for those who do get discounts Make sure that price-insensitive customers do not take

advantage of the discount offer Do not overstep the legal boundaries

Implementation of Price Customization

Page 24: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Identifying the Price-sensitive Customers

Which segments are more price sensitive?

Personal vs. Business Travelers

New to Market vs. Experienced Buyers

Light Users vs. Heavy Users

Students/Retired vs. Employed

Page 25: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

A department store has the following discounting policy for brand-name quality clothing

The ticket on each item is dated and lists a number of prices.

The first price is the one that a customer pays if the merchandise is bought within the first eleven days after arrival.

The next price is discounted an additional 25% and applies to merchandise that is 12 to 17 days old.

The third price is discounted 50% and applies to merchandise 18 to 23 days old.

The fourth price is discounted 75% and applies to merchandise that is 24 to 29 days old.

On the 30th day, the merchandise is turned over to charity. Since most of the merchandise is surplus, there is generally a limited supply in each style, color, and size.

Page 26: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

What does this strategy accomplish?

Describe the customers whom you suspect make up the different retail segments.

A number of stores in other cities adopted this strategy for surplus merchandise, but no store had adopted it for new merchandise. Can you suggest why?

For what other types of products would you consider this a profitable pricing tactic?

Price Customization - Implementation

Page 27: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Peak-load pricing is used to segment markets by the cost of serving them at different times?

Name types of businesses, other than public utilities, that could effectively use peak-load pricing. Describe how a peak-load strategy might be implemented in each case.

Yield management represents a more sophisticated version of peak-load pricing. What kinds of companies use yield management?

Price Customization - Implementation

Page 28: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

A fancy steak house in a shopping mall offers a 20% discount to employees of other stores in the mall, provided that they eat before 6:00 PM or after 8:00 PM

Can you explain the rationale for this strategy? (Your explanation should both account for why the 20% discount is not offered to everyone and why it is restricted in the hours when it is offered.)

Price Customization - Implementation

Page 29: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

A deli in a college town has an interesting pricing strategy for students. The dinner specials at the restaurant are normally $4.95. Students, however, can buy weekly "meal tickets" that give them three meals for $13.90, 5 meals for $22.25, or seven meals for $29.90. The tickets expire at the end of each week and they are not transferable. Can you explain this pricing strategy?

Price Customization - Implementation

Page 30: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

The local outlet of a fast food chain charges $2.60 for a salad from its salad bar if ordered a la carte. When ordered with a sandwich, however, the salad bar costs only $1.99. In either case, the customers are permitted to fill their bowls just once.

Can you explain this segmented pricing technique?

Price Customization - Implementation

Page 31: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Most hotels will lend guests an iron and an ironing board free of charge, despite the fact that this service competes with the hotel's valet service, for which it does charge. Those same hotels usually charge outrageously to supply glasses, ice, and mixers for those who wish to have alcoholic drinks in their rooms.

Can you explain this anomaly?

Price Customization - Implementation

Page 32: Review Own price elasticity Empirical estimation of demand curve Linear and log-log model Interpretation of coefficient and computation of price elasticity.

Next Lecture

Pricing and Competition


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