Chapter 8 Neighborhood Choice McGraw-Hill/Irwin

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Presentation transcript:

Chapter 8 Neighborhood Choice McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.

Introduction Extend model of residential choice beyond commuting cost Why do people segregate by income, race, education? What are the consequences of segregation? Diversity versus Segregation 8-2

8-3

8-4

A Model of Sorting for Local Public Goods Fragmented system of local government provides choice City with 3 voters with differing demands (WTP) for parks Cost of parks = $60 per acre; shared equally by citizens with head tax Collective choice: Majority rules 8-5

8-6

8-7

Majority Rule and the Median Voter Series of binary elections Winning size is preferred size of median voter 8-8

Formation of Homogeneous Municipalities Metro area initially has 3 diverse municipalities, each with 3 citizens Sorting by park demand makes allows everyone to get preferred park Lois types form municipality with small park Marian types form municipality with medium park Hiram types form municipality with large park Homogeneous municipalities accommodate diversity in demand 8-9

Municipality Formation for Tax Purposes So far, assume that each citizen/voter in a municipality pays the same tax What if tax base varies across citizens? 8-10

Implications of Variation in Tax Base Variation in tax base increases number of communities from 3 to 9 Real cities Tax on property Variation in property value causes municipal formation 8-11

Neighborhood Externalities Externalities for kids Positive adult role models for kids Classmates in school: focused vs. disruptive Adult externalities: Job information, drug use Positive externalities increase with income and education level 8-12

Neighborhood Choice: Introduction Who gets the desirable neighbors? Segregated or integrated neighborhoods? Sorting or mixing with respect to income, age, race? Implications for the price of land? 8-13

Bidding for Lots in Desirable Neighborhoods Focus on positive externalities that increase with income and education level What is income mix of neighborhoods-- segregated, or integrated? Model setup Two neighborhoods, A and B, each with 100 lots Two income groups (high and low), each with 100 households Only difference between neighborhoods is income mix 8-14

Looking for a Stable Equilibrium Starting point: Integrated (50-50) neighborhood Small move toward segregation: Self-reinforcing or self-correcting? Different Outcomes (Stable Equilibria) Segregation: Figure 8-2 Integration: Figure 8-3 Mixed: Figure 8-4 8-15

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8-18

Rent Premium in Mixed Neighborhoods Each household in A (high & low income) pays $24 extra Households in B have inferior income mix but pay $24 less in rent Axiom 1: Prices adjust for locational equilibrium 8-19

8-20

Role of Lot Size Land as “normal” good: High-income households choose larger lots Larger lot means smaller premium per unit of land Pair of low-income households outbids single high-income household Result: Integration rather than segregation 8-21

Minimum Lot Size Zoning and Segregation MLS increases premium per unit land for low-income household Low-income households more likely to be outbid for lots in A MLS promotes segregation 8-22

Schools and Neighborhood Choice: Introduction How does achievement vary across neighborhoods? How do local schools affect location choices? 8-23

8-24

Education Production Function Achievement = f (H, P, T, S) Home environment (H) most important input Favorable peers (P) are smart, motivated, not disruptive Teachers (T) vary in productivity Smaller class size (S) promotes learning Largest gains for low-income students Higher graduation rates and college attendance 8-25

Education and Income Sorting Fiscal sorting: Demand for school spending increases with income Peer sorting: WTP for better school peers increases with income 8-26

Crime and Neighborhood Choice: Introduction How does crime vary across neighborhoods? How does variation in crime affect location choices and housing prices? 8-27

8-28

8-29

Implications of Spatial Variation in Crime Elasticity of house value with respect to crime rate = -0.067 WTP for low-crime neighborhood increases with income Result: Income segregation 8-30

Measuring Racial Segregation Blacks: 2/3 in central cities; 1/3 in suburbs; Reverse for whites US Index of dissimilarity = 0.64: 64% of must relocate for integration 1980 - 2000, index decreased in 203 of 220 metropolitan areas; average reduction was 12% Small reductions in most segregated cities (Detroit, Milwaukee, New York, Newark, Chicago, Cleveland) 8-31

8-32

8-33

Racial Preferences and Neighborhood Choice Blacks: majority prefer integration; integration means 50-50 split Whites: majority prefer segregation; integration means 80-20 split 8-34

8-35

Other Reasons for Racial Segregation Racial segregation as a byproduct of income segregation: Small contribution Minimum lot size zoning excludes low-income households Racial steering (reflecting prejudice) reduces access of black households Public housing concentrates low-income households Alternative: Portable vouchers reduce concentration 8-36

The Spatial Mismatch Concentration of low-income & minority workers in central city, far from suburban jobs Longer commuting time and higher commuting time Lower employment rates for black youths Inferior access explains 25% of black-white employment gap Inferior access explains 31% of Hispanic-white gap Mismatch more important in large cities 8-37