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DIFFERENTIATION IN POLICE SERVICES IN CITY NEIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone
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D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Dec 15, 2015

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Page 1: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

DIFFERENTIATION IN

POLICE SERVICES

IN CITY NEIGHBORHOODS

Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone

Page 2: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Background

Tiebout explained variations in the mix of local public services by households moving to or within an area choosing the community that best meets their preferences. This creates within a metropolitan area communities with various combinations of public services which yields higher social welfare than uniformity throughout the area. However, variation in preferences towards any specific service will still exist. What can households do to improve their own position given what their local government already

provides ?

Page 3: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Our Conceptual Model

Our model considers welfare gained by additional private supply of public goods when preferences differ among households already located in a given community. The analysis is applied to police services supplemented by various types of private provision.

Page 4: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

The Theoretical Model

The question is whether we consider public security like police patrol as a pure local public good that should be financed by government through tax revenues, or should public security be privatized and financed by payments of private individuals.

Page 5: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Assumption: Let us assume that in the market we have N identical consumers whose identical demand to the public security, G, is as follows: (1) for all i = 1,……,N.

The aggregate demand of the market for G can be derived by vertical summarization: (2)

Case 1

Page 6: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Assuming a linear cost function of G with marginal cost per unit, C, the cost function is: (3)

According to the simple Lindhal solution for pure public good we can find the optimal value of G as follows: (4)

Page 7: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

From (3) – (4) we get: (5)

Or, we can find the optimal value of G:

(6)

From (6) and (5) we can measure the total consumer’s surplus, TCS, as follows:

(7)

For simplicity of presentation we assume further that α = 1.

Page 8: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Case 2

AssumptionsIn the following case we assume heterogeneous customers that on average the representative consumer I, has the same demand for G as at case 1.

The demand curves of all N consumers are rectangular (uniformly) distributed.

Page 9: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

The demand of any consumer i is defined as (8) below: (8)

Since we face some consumers with very low reservation price that is equal to , for specific consumer I, it is possible to gain disutility from certain level of G demonstrating negative consumers’ surplus.

Page 10: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Therefore we can introduce the demand curves for different value of G as follows:

(9)

Page 11: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

In more general terms we can write the equations of (9) in reduced forms as:

(9’)

We assume that government ignores the differences in preferences, and treats identically all constituents, like in case 1, .

Page 12: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

and charges all customers the equal cost sharing burden as follows: (10)

For any customer we can define his consumer surplus as: (11)

Page 13: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Therefore the total consumers’ surplus in case 2 is: (12)

Page 14: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Comparing TCS1 to TCS2

We conclude that since

Page 15: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Case 3

We now extend case 2 assuming the same demand distribution. N/2 customers are satisfied with the public supplied quantity of G0.Other customers, N/2, are willing to add additional units of private security that might be supplied as supplement in order to increase their consumer surplus.

Page 16: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

In this case we allow more flexibility in consuming security either by consuming pure public goods shared by all customers or by extra/additional private security, PS, provided individually/privately by part of the population with high reservation prices. We use several assumptions for the extension of case 3. a.A public good and a private good are full substitutes b.C, per unit cost, for the private and public good are the samec.The burden of a public good is shared equally, but private security is totally paid as a private and individual burden

Page 17: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Consumer Surplus: Case 1

E

N L

B

Go G

N

C

H

O

M

A

C

S

D median PS

D

N

C

Page 18: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Consumer Surplus: Case 2

E

N L

B

Go S

D median

G

PS

H

D

O

M

A

T

C

Page 19: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Consumer Surplus: Case 2, 3 demands

E

N L

B F

Go S

D median

G

PS

H

D

O

M

A

T

45

D of high demand

C

Page 20: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Consumer Surplus Cases 2, and 3

E

N L

B F

Go S

D median

G

PS

H

D

O

M

A

45

D of high demand

C

Page 21: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

At equilibrium we can measure the quantity demanded for private security of the highest demand customer that is as follows: (13)

Since P=C we find the highest PS of this customer as follows:

Page 22: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

For each customer i, the "leftover" demand for the private security, PS, is obtained as follows: (14)

From (14) we find that PS, the demand for extra private security for each customer i, is: (15)

Page 23: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

The extra welfare resulting from the purchase of private security as supplement to the optimal public security, G0 as follows: (16)

Therefore the extra welfare obtained by private security supplement is:

(17)

Page 24: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

The PS of the highest demand customer for private security is

The next is customer

The last customer who prefers only the pure public security without any extra private supplement is customer i=

Page 25: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Thus, the total private security supplement units TPS, are: (18)

The ratio "mixture" between the two kinds of security units is:

(19)

Page 26: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Comparative static analysis: Case 3

dMix

dG

dTPS

dW

dA - + 0 0 dC - - - - dN + + + +

Dependent Variable Change

Independent Variable Change

Page 27: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Implications for Supplementing Public Police

In reality there is significant supplementation in the forms of:

1 .Private police2. Volunteer efforts

3. Self protection4. Property insurance5. Protection design

Page 28: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Private Police

In the US private police number more than 3 timesthe combined federal, state, and local law enforcement agents. In order for households and/or businesses in a neighborhood to feasibly supplement public police, and prevent “free ridership”, residents vote by majority rule to tax themselves for private patrol. Examples include Philadelphia, Chicago and New Orleans. Gated communities include households of similar and usually higher income & security preferences than others in the locality. Examples include the US, Mexico, Brazil, and South Africa in places of high income and wealth disparity.

Page 29: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Volunteer Efforts

This category includes neighborhood watch, safety control committees in apartment complexes, auxiliary volunteer police officers, and safe haven homes. Volunteer efforts are significant in the US and the UK. In the UK in the early 2000, 27 percent of total population lived in areas covered by Neighborhood watch;

In the US 41 percent .

Page 30: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Self Protection

This category includes deterring, prevention, and detection measures held by individual households as supplement to public police. Burglar alarms appear in the US appear to be a more effective measure for property security than all others combined. Burglar alarms are shown empirically to involve high income

elasticity .

Page 31: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Property Insurance

This is a supplement private measure to recover the monetary losses resulting from crime. Interestingly, the extent of private versus public security used, and the relative use of each private security measure depends upon the relative prices. We could expect that households choose rationally the quantities of the private measures. However, the implicit price of public police may distort the socially

optimization process .

Page 32: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Environmental Design

Oscar Newman in his two seminal books discusses how the physical layout of the community can reduce crime and hence becomes a supplement to public police. His premise is that by creating observable inner hallways and common areas, and external access paths, security is enhance security .

Page 33: D IFFERENTIATION IN P OLICE S ERVICES I N C ITY N EIGHBORHOODS Tchai Tavor, Uriel Spiegel, Simon Hakim, Erwin A. Blackstone.

Conclusions

This paper extends the Tiebout model by supplementing private security services to existing public police and thereby raise social welfare. The model allows for different preferences of individuals and groups in the community. Allowing private choices in augmenting public police is shown to enhance

social welfare .