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© 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 1 The Market

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Page 1: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc.

1 The Market

Page 2: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 2

The Theory of Economics does notfurnish a body of settled conclusionsimmediately applicable to policy. It isa method rather than a doctrine, anapparatus of the mind, a technique ofthinking which helps its possessor todraw correct conclusions

--- John Maynard Keynes

Page 3: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 3

Economic Modeling

What causes what in economic systems?

At what level of detail shall we model an economic phenomenon?

Which variables are determined outside the model (exogenous) and which are to be determined by the model (endogenous)?

Page 4: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 4

Modeling the Apartment Market

How are apartment rents determined? Suppose

– apartments are close or distant, but otherwise identical

– distant apartments rents are exogenous and known

– many potential renters and landlords

Page 5: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 5

Modeling the Apartment Market

Who will rent close apartments? At what price? Will the allocation of apartments be

desirable in any sense?

How can we construct an insightful model to answer these questions?

Page 6: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 6

Economic Modeling Assumptions

Two basic postulates:

– Rational Choice: Each person tries to choose the best alternative available to him or her.

– Equilibrium: Market price adjusts until quantity demanded equals quantity supplied.

Page 7: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 7

Modeling Apartment Demand Demand: Suppose the most any one

person is willing to pay to rent a close apartment is $500/month. Then

p = $500 QD = 1. Suppose the price has to drop to

$490 before a 2nd person would rent. Then p = $490 QD = 2.

Page 8: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 8

Modeling Apartment Demand

The lower is the rental rate p, the larger is the quantity of close apartments demanded

p QD . The quantity demanded vs. price

graph is the market demand curve for close apartments.

Page 9: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 9

Market Demand Curve for Apartments

p

QD

Page 10: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 10

Modeling Apartment Supply

Supply: It takes time to build more close apartments so in this short-run the quantity available is fixed (at say 100).

Page 11: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 11

Market Supply Curve for Apartments

p

QS100

Page 12: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 12

Competitive Market Equilibrium

“low” rental price quantity demanded of close apartments exceeds quantity available price will rise.

“high” rental price quantity demanded less than quantity available price will fall.

Page 13: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 13

Competitive Market Equilibrium

Quantity demanded = quantity available price will neither rise nor fall

so the market is at a competitive equilibrium.

Page 14: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 14

Competitive Market Equilibrium

p

QD,QS100

Page 15: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 15

Competitive Market Equilibrium

p

QD,QS

pe

100

Page 16: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 16

Competitive Market Equilibrium

p

QD,QS

pe

100

People willing to pay pe for close apartments get closeapartments.

Page 17: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 17

Competitive Market Equilibrium

p

QD,QS

pe

100

People willing to pay pe for close apartments get closeapartments.

People not willing to pay pe for close apartments get distant apartments.

Page 18: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 18

Competitive Market Equilibrium

Q: Who rents the close apartments? A: Those most willing to pay. Q: Who rents the distant

apartments? A: Those least willing to pay. So the competitive market allocation

is by “willingness-to-pay”.

Page 19: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 19

Comparative Statics

What is exogenous in the model?

– price of distant apartments

– quantity of close apartments

– incomes of potential renters. What happens if these exogenous

variables change?

Page 20: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 20

Comparative Statics

Suppose the price of distant apartment rises.

Demand for close apartments increases (rightward shift), causing a higher price for close apartments.

Page 21: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 21

Market Equilibrium

p

QD,QS

pe

100

Page 22: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 22

Market Equilibrium

p

QD,QS

pe

100

Higher demand

Page 23: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 23

Market Equilibrium

p

QD,QS

pe

100

Higher demand causes highermarket price; same quantitytraded.

Page 24: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 24

Comparative Statics

Suppose there were more close apartments.

Supply is greater, so the price for close apartments falls.

Page 25: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 25

Market Equilibrium

p

QD,QS

pe

100

Page 26: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 26

Market Equilibrium

p

QD,QS100

Higher supply

pe

Page 27: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 27

Market Equilibrium

p

QD,QS

pe

100

Higher supply causes alower market price and alarger quantity traded.

Page 28: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 28

Comparative Statics

Suppose potential renters’ incomes rise, increasing their willingness-to-pay for close apartments.

Demand rises (upward shift), causing

higher price for close apartments.

Page 29: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 29

Market Equilibrium

p

QD,QS

pe

100

Page 30: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 30

Market Equilibrium

p

QD,QS

pe

100

Higher incomes causehigher willingness-to-pay

Page 31: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 31

Market Equilibrium

p

QD,QS

pe

100

Higher incomes causehigher willingness-to-pay,higher market price, andthe same quantity traded.

Page 32: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 32

Taxation Policy Analysis

Local government taxes apartment owners.

What happens to

– price

– quantity of close apartments rented?

Is any of the tax “passed” to renters?

Page 33: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 33

Taxation Policy Analysis Market supply is unaffected. Market demand is unaffected. So the competitive market

equilibrium is unaffected by the tax. Price and the quantity of close

apartments rented are not changed. Landlords pay all of the tax.

Page 34: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 34

Imperfectly Competitive Markets

Amongst many possibilities are:

– a monopolistic landlord

– a perfectly discriminatory monopolistic landlord

– a competitive market subject to rent control.

Page 35: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 35

A Monopolistic Landlord

When the landlord sets a rental price p he rents D(p) apartments.

Revenue = pD(p). Revenue is low if p 0 Revenue is low if p is so high that

D(p) 0. An intermediate value for p

maximizes revenue.

Page 36: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 36

Monopolistic Market Equilibrium

p

QD

Lowprice

Low price, high quantitydemanded, low revenue.

Page 37: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 37

Monopolistic Market Equilibrium

p

QD

Highprice

High price, low quantitydemanded, low revenue.

Page 38: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 38

Monopolistic Market Equilibrium

p

QD

Middleprice

Middle price, medium quantitydemanded, larger revenue.

Page 39: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 39

Monopolistic Market Equilibrium

p

QD,QS

Middleprice

Middle price, medium quantitydemanded, larger revenue.Monopolist does not rent all theclose apartments.

100

Page 40: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 40

Monopolistic Market Equilibrium

p

QD,QS

Middleprice

Middle price, medium quantitydemanded, larger revenue.Monopolist does not rent all theclose apartments.

100

Vacant close apartments.

Page 41: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 41

Perfectly Discriminatory Monopolistic Landlord

Imagine the monopolist knew everyone’s willingness-to-pay.

Charge $500 to the most willing-to-pay,

charge $490 to the 2nd most willing-to-pay, etc.

Page 42: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 42

Discriminatory Monopolistic Market Equilibrium

p

QD,QS100

p1 =$500

1

Page 43: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 43

Discriminatory Monopolistic Market Equilibrium

p

QD,QS100

p1 =$500

p2 =$490

12

Page 44: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 44

Discriminatory Monopolistic Market Equilibrium

p

QD,QS100

p1 =$500

p2 =$490

12

p3 =$475

3

Page 45: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 45

Discriminatory Monopolistic Market Equilibrium

p

QD,QS100

p1 =$500

p2 =$490

12

p3 =$475

3

Page 46: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 46

Discriminatory Monopolistic Market Equilibrium

p

QD,QS100

p1 =$500

p2 =$490

12

p3 =$475

3

pe

Discriminatory monopolistcharges the competitive marketprice to the last renter, andrents the competitive quantityof close apartments.

Page 47: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 47

Rent Control

Local government imposes a maximum legal price, pmax < pe, the competitive price.

Page 48: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 48

Market Equilibrium

p

QD,QS

pe

100

Page 49: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 49

Market Equilibrium

p

QD,QS

pe

100

pmax

Page 50: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 50

Market Equilibrium

p

QD,QS

pe

100

pmax

Excess demand

Page 51: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 51

Market Equilibrium

p

QD,QS

pe

100

pmax

Excess demand

The 100 close apartments areno longer allocated bywillingness-to-pay (lottery, lines,large families first?).

Page 52: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 52

Which Market Outcomes Are Desirable?

Which is better?

– Rent control

– Perfect competition

– Monopoly

– Discriminatory monopoly

Page 53: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 53

Pareto Efficiency

Vilfredo Pareto; 1848-1923. A Pareto outcome allows no “wasted

welfare”; i.e. the only way one person’s

welfare can be improved is to lower another person’s welfare.

Page 54: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 54

Pareto Efficiency

Ali has an apartment; Veli does not. Ali values the apartment at $200; Veli

would pay $400 for it. Ali could sublet the apartment to Veli

for $300. Both gain, so it was Pareto inefficient

for Ali to have the apartment.

Page 55: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 55

Pareto Efficiency

A Pareto inefficient outcome means there remain unrealized mutual gains-to-trade.

Any market outcome that achieves all possible gains-to-trade must be Pareto efficient.

Page 56: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 56

Pareto Efficiency

Competitive equilibrium:

– all close apartment renters value them at the market price pe or more

– all others value close apartments at less than pe

– so no mutually beneficial trades remain

– so the outcome is Pareto efficient.

Page 57: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 57

Pareto Efficiency

Discriminatory Monopoly:

– assignment of apartments is the same as with the perfectly competitive market

– so the discriminatory monopoly outcome is also Pareto efficient.

Page 58: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 58

Pareto Efficiency

Monopoly:

– not all apartments are occupied

– so a distant apartment renter could be assigned a close apartment and have higher welfare without lowering anybody else’s welfare.

– so the monopoly outcome is Pareto inefficient.

Page 59: © 2010 W. W. Norton & Company, Inc. 1 The Market

© 2010 W. W. Norton & Company, Inc. 59

Pareto Efficiency

Rent Control:

– some close apartments are assigned to renters valuing them at below the competitive price pe

– some renters valuing a close apartment above pe don’t get close apartments

– Pareto inefficient outcome.