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The Schelling Segregation Model Rajiv Sethi Yonsei University, August 2012 Sethi (Barnard/Columbia & SFI) Schelling Segregation Model Yonsei, August 2012 1 / 21

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Page 1: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

The Schelling Segregation Model

Rajiv Sethi

Yonsei University, August 2012

Sethi (Barnard/Columbia & SFI) Schelling Segregation Model Yonsei, August 2012 1 / 21

Page 2: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Main Reading

Schelling, Thomas C. (1978). Micromotives and Macrobehavior, Chapter 4

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Page 3: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Patterns of Association

Patterns of association in cities, campuses, clubs, etc.:

arise from decentralized, uncoordinated choices

interacting with policy initiatives

What determines such patterns of association?

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Page 4: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Underlying Preferences

What does the extent of observed segregation

tell us about underlying preferences

and discrimination in housing and lending markets?

Imagine a world with no discrimination

and no racial income disparities

and tolerant preferences over racial composition

and decentralized, uncoordinated location decisions

How much segregation would we observe?

Sethi (Barnard/Columbia & SFI) Schelling Segregation Model Yonsei, August 2012 4 / 21

Page 5: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

The Schelling Model

Two types of households located on a grid

Demands: more than a third of neighbors in own-group

Initial locations: perfect integration

Perturbation: random removal and partial replacement

Dynamics: Sequential movement to acceptable locations

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Page 6: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Initial Allocation

Sethi (Barnard/Columbia & SFI) Schelling Segregation Model Yonsei, August 2012 6 / 21

Page 7: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Perturbation: Remove 20, Replace 5

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Page 8: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Sorting Equilibria

Sethi (Barnard/Columbia & SFI) Schelling Segregation Model Yonsei, August 2012 8 / 21

Page 9: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Stability of Segregation

“People who have to choose between polarized extremes ... will oftenchoose in a way that reinforces the polarization. Doing so is no evidencethat they prefer segregation, only that, if segregation exists and they haveto choose between exclusive association, people elect like rather thanunlike environments”

Schelling, 1978

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Page 10: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

The Bounded Neighborhood Model

Single neighborhood

No capacity constraint

Free entry and exit

Preference heterogeneity: linear tolerance schedules

Dynamics: Least tolerant exist first, most tolerant enter first

Sethi (Barnard/Columbia & SFI) Schelling Segregation Model Yonsei, August 2012 10 / 21

Page 11: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Model 1

100 whites, 50 blacks

Tolerance ranges from 2:1 to zero (both groups)

Median tolerance it 1:1

Which allocations are “tolerable”?

Which are stable (no entry or exit)?

Example: At (50, 25) whites enter, blacks exit

Example: At (10, 20) whites exit, blacks enter

Example: At (10,10) both enter

Example: At (80,40) both exit

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Tolerance Schedule: Whites

0 10 20 30 40 50 60 70 80 90 1000

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

Whites

Tole

rance

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Page 13: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Tolerance Schedule: Blacks

0 5 10 15 20 25 30 35 40 45 500

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

Blacks

Tole

rance

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Page 14: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Model 1: Unstable Integration

0 10 20 30 40 50 60 70 80 90 1000

5

10

15

20

25

30

35

40

45

50

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Dynamics

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Page 16: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Model 2

100 whites, 100 blacks

Tolerance ranges from 5:1 to zero (both groups)

Median tolerance is 2.5:1

Three stable steady states

Initial conditions matter

Integration can be stable at (80,80)

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Page 17: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Model 2: Stable Integration

0 20 40 60 80 100 120 1400

20

40

60

80

100

120

140

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Page 18: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Model 3

100 whites, 50 blacks

Tolerance ranges from 5:1 to zero (both groups)

Median tolerance is 2.5:1

Only segregation is stable even though tolerances are high

What happens if entry is restricted to 40?

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Page 19: The Schelling Segregation Modelweb.yonsei.ac.kr/wcuecon2012/lecslid/2. Schelling.pdf · 2015-01-01 · Patterns of Association Patterns of association in cities, campuses, clubs,

Model 3: Unstable Integration

0 10 20 30 40 50 60 70 80 90 1000

20

40

60

80

100

120

140

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Model 4: Entry Barriers

0 10 20 30 40 50 60 70 80 90 1000

20

40

60

80

100

120

140

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Conclusions

Eventual outcome sensitive to initial conditions

Segregated allocation are stable even if there exists a stableintegrated allocation (see model 2)

Caps on entry can sustain integration

Less tolerance can result in more integration (compare models 3 and4, assuming intolerance rather than entry barriers)

Sethi (Barnard/Columbia & SFI) Schelling Segregation Model Yonsei, August 2012 21 / 21