Spectrum Policy

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Spectrum Policy
International Telecommunications Union
Geneva, Switzerland
16 February, 2004
Thomas W. Hazlett
Manhattan Institute
Washington, D.C.
twhazlett@yahoo.com
Spectrum Policy
Thomas W. Hazlett
1
Thomas W. Hazlett,
“Property Rights and
Wireless License Values”
twhazlett@yahoo.com
http://www.manhattan-institute.org/html/hazlett.htm
Spectrum Policy
Thomas W. Hazlett
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Spectrum v. Licenses
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Status quo: Operating Permits
Spectrum allocated administratively
Restrictions impose inefficiency
Cartel enforcement devices
Spectrum Policy
Thomas W. Hazlett
3
37 Concerned Economists (Feb. 01)
• Full Liberalization
• Relax all use restrictions
– Services
– Technology
– Business models
• Exhaustively license spectrum
– Overlay rights (as in U.S. PCS)
– Entry via ‘cheap spectrum’ policy
Spectrum Policy
Thomas W. Hazlett
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Two Objections
• Windfalls not equitable
• A better way to allocate spectrum:
unlicensed
• Result: No substantial progress in USA
Spectrum Policy
Thomas W. Hazlett
5
Windfalls vs. Efficiencies
• Flexible use => productive
– Analog cellular licensees awarded digital rights
– Voluntary reallocation of UHF TV spectrum
• Property rights = Windfalls
Spectrum Policy
Thomas W. Hazlett
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‘Which Way, Senator Fall?’
• Windfalls: positive or negative
– More efficient, more profitable
– More efficient rights, less exclusivity
• Rights are inter-related
– Incremental rights issued to license class
– Rights are implicit precedents
• License value changes are ambiguous
Spectrum Policy
Thomas W. Hazlett
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Empirical Test
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Value of Wireless Phone Licenses
42 license auctions in 27 countries (95-02)
1,438 licenses (1,080 USA)
Liberal Dummy with extensive wireless
property rights
– Australia
– El Salvador
– Guatemala
– New Zealand
Spectrum Policy
Thomas W. Hazlett
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Control Variables
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Income per capita
Population in licensed area
Density and Urbanization
NASDAQ Index @ auction close
Market concentration (HHI)
3G
Incumbent dummy
Bandwidth allocated to license
800/900 MHz dummy
License term
Auction type dummy (First price sealed bid = 1)
Fixed telco service rates
Economic liberty index
USA dummy
Spectrum Policy
Thomas W. Hazlett
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Log Log Results
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Income per capita +
Population in licensed area +
Density Urbanization +
NASDAQ Index @ auction close +
Market concentration (HHI) +
3G +
Incumbent dummy +
Bandwidth allocated to license +
800/900 MHz dummy
License term
Auction type dummy (First price sealed bid = 1) +
Fixed telco service rates + (connect)/ - (call)
Economic liberty index +
USA dummy +
Spectrum Policy
Thomas W. Hazlett
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Liberalization Effect
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Statistically significant
Negative
38% price difference
From standard allocation to “full”
liberalization reduces license rents
Spectrum Policy
Thomas W. Hazlett
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Mean price/MHz/pop v. income per capita
(values relative to the sample mean)
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UK
GER
ITA
NET
MOR
Price per MHz-pop / Mean
BRA
PAN
BUL
CAN
JAM
PER
GUA
NIG
BOL
AUS
ARG
BRA
A
AUS
CZ
MEX
1
US
NET
GRE AUS
GER
A
SWZ
0.1
ELS
NZ
AUS
0.01
A = Austria
AUS = Australia
Spectrum Policy
0.1
1
Income per capita / Mean
Thomas W. Hazlett
0.01
10
Non Liberal = 
Liberal = …
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Implications
• Economic Theory:
– Helps explain regulatory capture
• Public policy:
– Equity issues “solved” by extensive
liberalization
– “Cheap spectrum” policy via property rights
– Social gains large, as lower license values
reflect that more efficient markets and lower
retail prices are anticipated
Spectrum Policy
Thomas W. Hazlett
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Look Busy… or Be Busy?
• Experiments in spectrum property rights
encouraging
– Even as momentum lost to “substitute”
policies in USA
• From Heresy to Passé Orthodoxy… all
without ever having been implemented
Spectrum Policy
Thomas W. Hazlett
14
May 3, 2002
Spectrum Auction Delay Hits Fast
Track
By Roy Mark
Spectrum Policy
Thomas W. Hazlett
15
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