c15: economic policy analysis topic 7: auctions tilman b örgers february 2004

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C15: Economic Policy Analysis Topic 7: Auctions Tilman Börgers February 2004

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C15: Economic Policy Analysis Topic 7: Auctions Tilman B örgers February 2004. Lecture 1: Spectrum Auctions (23 February) Lecture 2: Electricity Auctions (1 March) A revised handout is available on the course web page. - PowerPoint PPT Presentation

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C15: Economic Policy Analysis

Topic 7: Auctions

Tilman Börgers

February 2004

Lecture 1: Spectrum Auctions (23 February)

Lecture 2: Electricity Auctions (1 March)

A revised handout is available on the course web page.

General reference: Paul Milgrom (1989), Auctions and Bidding: A Primer, The Journal of Economic Perspectives 3, pp. 3-22.

Lecture 1: Spectrum Auctions

References

• Paul Milgrom (2000), Putting Auction Theory to Work: The Simultaneous Ascending Auction, Journal of Political Economy 108, pp. 245-72.

• Ken Binmore and Paul Klemperer (2002), The Biggest Auction Ever: The Sale of the British 3G Telecom Licenses, Economic Journal 112, pp. C74-C96.

• Tilman Börgers and Christian Dustmann, Strange Bids: Bidding Behavior in the United Kingdom’s Third Generation Spectrum Auction, available at: http://www.ucl.ac.uk/~uctpa01/strange2.pdf .

Outline of the Lecture

1.Introduction

2.An Overview of 3G Licensing in Europe

3.Why Auctions?

4.The Simultaneous Ascending Auction

5.The UK Experience

6.Conclusion

1. Introduction

• Mobile telephone networks use radio spectrum.• Spectrum users need permissions (licenses). • Licenses are issued by a government agency (in

the UK: formerly Radiocommunications Agency, now Ofcom).

• Around the year 2000, licenses for the next (3rd) generation of mobile telephone networks needed to be issued.

• International agreement had specified spectrum bands and technology (UMTS).

What needed to be determined

1. Number and size of licenses.

2. License holders.

The Objectives

1. Create sustainable competition in the third generation mobile telephone market.

2. Allocate the licenses to the “right” license holders.

3. Raise government revenue.

The Constraints

1. The available spectrum: 2x60 MHz of paired spectrum and 25 MHz of unpaired spectrum.

2. Technological constraints (minimum spectrum: 2x10 MHz paired spectrum).

Method I Method II Method III

Mechanism by which the Number and Size of Licenses is determined

Bureaucratic Bureaucratic Auction

Mechanism by which the License Holders are chosen

Bureaucratic Auction Auction

The Methods

• Economic theory makes predictions regarding these methods.

• Before the auction: Recommendations based on theory were made.

• A variety of methods were tried out.• After the auction: Check whether predictions came

true.• Our focus will be on the UK.• But first we give an overview of the European

picture.

2. An Overview of 3G Licensing in Europe

Method I (Beauty Contest)

Finland, Spain, Sweden, Portugal, France, Ireland, Luxembourg

Method II (Auctions With Exogenous Licenses)

UK, Netherlands, Italy, Belgium, Denmark

Method III (Auctions With Endogenous Licenses)

Germany, Austria, Greece

Country No of Licenses

Rev (€ ) per head

Method I Finland

February 1999

4 0

Spain

December 1999

4 15

Sweden

September 2000

4 0

Portugal

September 2000

4 40

France

January 2001

2 168

Ireland

March 2002

3 27

Luxembourg

March 2002

3 2

The Results

Country No of Licenses

Rev (€ ) per head

Method II UK

March 2000

5 642

Netherlands

June 2000

5 372

Italy

September 2000

5 213

Belgium

February 2001

3 44

Denmark

September 2001

4 96

Country No of Licenses

Rev (€ ) per head

Method III Germany

July 2000

6 619

Austria

November 2000

6 103

Greece

July 2001

3 46

3. Why Auctions?

Objective:

• “Put licenses into the hands of those who value them the most.”

Allocate licenses so that the sum of valuations is maximized.

• Promote competition.

How to maximise the sum of license valuations?

Identical licenses:

Give to the bidders with the highest valuations.

Heterogeneous licenses:

More complicated.

Example:

One small license (S), one large license (L).

Solution: A gets S and B gets L.Marginal valuations matter!

Bidder Value for S Value for L

A 9 11

B 4 7

Example (continued):

One small license (S), one large license (S).

Solution: A gets S and B gets L.

Bidder Value for S Value for L

A 9 11

B 4 7

C 5 6

The key problem:• The government doesn’t know the valuations.

The solution:• Auctions.• Competitive bidding reveals values.• Competitive bidding maximizes the sum of

valuations.

4. The Simultaneous Ascending Auction

A very rough classification of auctions:

Single Unit Auctions

Multi-Unit Auctions

Sealed Bid Auctions

Open Bid Auctions

x

Open, Multi-Unit Auctions

• The most prominent open, multi-unit auction is the “simultaneous ascending auction”.

• The “simultaneous ascending auction” is the most popular auction format for spectrum auctions.

• It is often attributed to Milgrom, Wilson, McAfee, …

• Here we study it in the simplest context: Multi-unit supply, but single-unit demand.

Simultaneous, Ascending Auction Rules:

• All licenses are auctioned simultaneously.• Bidding starts at minimum bids.• In each round, the currently leading bidders are

committed to their bid, and can’t change it.• All other bidders have to overbid one currently

leading bid by a minimum increment, or drop out.• Bidding continues until the number of active

bidders = number of licenses.• Bidding on all licenses closes at the same time.

Straightforward Bidding:• Surplus = Value of a license – Minimum bid.• Bid for the license for which surplus is

maximised.• Bid the minimum bid.

Theorem:• Straightforward bidding is rational (a Nash

equilibrium).• Under straightforward bidding, licenses are

allocated so that the sum of valuations is maximised. (Milgrom, 2000)

Example (continued)

• Bid price of L up to 1.• C switches to S• Bid price of L up to 2.• A switches to S, and then switches back and forth.• When price of S reaches 5, C drops out.• A wins S and B wins L.

Bidder Value for S Value for L

A 9 11

B 4 8

C 5 6

Why is the Theorem true?

Straightforward bidding is rational (a Nash equilibrium)…

• At the time at which a bid is placed, you get the highest surplus.

• If prices of other licenses go up, your choice looks even better.

• If your bid is overbid, then you can still switch on other licenses.

Is it always best to bid straightforwardly?

• Not if the others play a strategy of the type “Bid the price of license X up, if bidder Y ever bids for license X”.

• Yes if the others also bid straightforwardly.

This is why the Theorem only says that it is a Nash equilibrium to bid straightforwardly.

Under straightforward bidding, licenses are allocated so that the sum of valuations is maximised…

• Suppose some other license allocation had a higher sum of valuations.

• Then also the difference between sum of valuations and current prices were higher.

• Then some bidder would have to have a higher surplus in the new allocation.

• Why did this bidder not bid for this license?

5. The UK Experience

• I focus on the case of the UK.• There were five licenses: 2 large ones (A and B),

and 3 small ones (C, D and E).• The 4 incumbents were not allowed to bid for A.• There were 13 bidders.• 6 March 2000 - 27 April 2000.• 150 rounds.

The Winners:

Incumbents in red

Licence Company Winning Bid

A TIW £ 4,384.7 m

B Vodafone £ 5,964.0 m

C BT3G £ 4,030.1 m

D One2One £ 4,003.6 m

E Orange £ 4,095,0 m

The Losers:

Company Withdrew in Round

NTL Mobile 150

Telefonica 133

Worldcom 121

One.Tel 100

Epsilon 98

Spectrumco 97

3GUK 95

Crescent 94

Our main question:

• Did bidders reveal consistent marginal valuations?• Under straightforward bidding: bid for large

license if

vL-pL > vS-pS

pL-pS < vL-vS

• Valuation differences should be revealed by bids.

Possible Interpretation of BT’s Behaviour:

• Naïve rule of thumb (minimize £/MHz)• Easy to justify towards shareholders.• Drive up the price that Vodafone has to pay.

Possible Interpretation of TIW’s Behaviour:

• Strategy change after the first phase.• Tried to conceal their true identity in phase 1.

Possible Interpretation of NTL Mobile’s Behaviour:

• Learning in the first phase.• Budget constraints in the last phase.

6. Conclusion

• More research is needed to understand bidders’ motivation structure in license auctions.

• The outcome of the UK auction might have been efficient …

• … but not for the reasons we expected.• Auction designs need to be tested further.

Open Questions

• Do we need to license use of the radio spectrum (“Open Spectrum Movement”)?

• Should licenses specify the use that is made of the spectrum?

• Should we allow trade in licenses?• Should license trade be regulated?• How does trade in licenses affect bidding in

license auctions?• Do customers get a good deal when firms have to

pay high license fees?