paul milgrom s work on auctions and information a
play

Paul Milgroms work on Auctions and Information: A Retrospective - PowerPoint PPT Presentation

Paul Milgroms work on Auctions and Information: A Retrospective Vijay Krishna Nemmers Conference November 6, 2009 Scope of this talk Theory of single-object auctions Milgrom and Weber (1982) on symmetric auctions


  1. Paul Milgrom’s work on Auctions and Information: A Retrospective Vijay Krishna Nemmers Conference November 6, 2009

  2. Scope of this talk � Theory of single-object auctions � Milgrom and Weber (1982) on symmetric auctions � Engelbrecht-Wiggans, Milgrom and Weber (1983) on informational asymmetries � Plan � Brief account of preceding work � Contributions � Subsequent work on asymmetric auctions

  3. In the beginning ... � Vickrey (1961) � model of auctions as games of incomplete information � compare performance of di¤erent formats � expected revenue � e¢ciency

  4. Vickrey (1961) 1. independent private values model 2. Dutch descending � …rst-price auction (FPA) 3. English ascending � second-price auction (SPA) 4. equilibrium of FPA (example) 5. revenue equivalence (example) 6. asymmetric …rst-price auctions (example) 7. multi-unit Vickrey auction

  5. Revenue Equivalence Principle � Fix an auction A such that only winner pays. � Increasing equilibrium β A � W A ( z ) = expected price paid by winner who bids β A ( z ) . � FPA W FP ( z ) = β FP ( z ) � SPA W SP ( z ) = E [ Y 1 j Y 1 < z ]

  6. Revenue Equivalence Principle � Can show by direct computation that β FP ( z ) = E [ Y 1 j Y 1 < z ] and so (Vickrey, 1961 & 1962): W FP ( z ) = W SP ( z ) � But, need to abstract away from speci…cs ...

  7. Revenue Equivalence Principle Theorem If W A ( 0 ) = 0 = W B ( 0 ) , then W A ( x ) = W B ( x ) . � Proof: � Let G ( z ) = Pr [ Y 1 < z ] . � Bidder’s problem G ( z ) x � G ( z ) W A ( z ) max z � Optimal to set z = x , so � � 0 G ( x ) W A ( x ) g ( x ) x = � So Z x 1 W A ( x ) = 0 yg ( y ) dy G ( x ) = E [ Y 1 j Y 1 < z ]

  8. IPV Model Vickrey (1961) Information Implementation Economics Theory HHH � � � H j � ? Optimal Auction Design Myerson (1981) Riley and Samuelson (1981)

  9. Common Value Model � True value V � H � Conditionally independent signals � X i � F ( � j V = v ) i.i.d. � Wilson (1967), Ortega-Reichert (1968) derived equilibrium in FPA (also examples with closed-form solutions)

  10. MW’s General Symmetric Model � Interdependent values v i ( x 1 , x 2 , ..., x N , s ) � v i symmetric in x � i � A¢liated signals f ( x 1 , x 2 , ..., x N , s ) � f symmetric in x

  11. MW’s General Symmetric Model � IPV model and CV model are special cases � A¢liation assumption is key � inherited by order statistics � monotone functions

  12. Main Results in MW � Characterizing symmetric equilibria in FP, SP and English auctions � R SP � R FP � > with strict a¢liation; private values OK � R Eng � R SP � > with strict a¢liation, interdependence and N > 2 R A � R A Public information release (as a policy) increases � b revenue � All standard auctions are ex post e¢cient � need single-crossing condition

  13. IPV and MW Symmetric IPV Model MW Model Dutch � FP Dutch � FP R Eng � R SP English � SP R SP = R FP R SP � R FP R A � R A b *

  14. Equilibria of Standard Auctions � De…ne v ( x , y ) = E [ V 1 j X 1 = x , Y 1 = y ] � SPA: β SP ( x ) = v ( x , x ) � with private values β SP ( x ) = x � FPA: Z x β FP ( x ) = 0 v ( y , y ) dL ( y j x ) where L ( � j x ) is determined by G ( � j x ) � with private values β FP ( x ) = E [ Y 1 j Y 1 < x ]

  15. English Auction � An ex post equilibrium is β N ( x ) = v ( x , x , ..., x ) β N � 1 ( x , p N ) = v ( x , x , ..., x , x N ) . . . β k ( x , p k + 1 , ..., p N ) = v ( x , x , ... x , x k + 1 , ..., x N } ) | {z } | {z Drop-out prices Drop-out signals Given information inferred from drop-out prices, stay until price reaches value if all remaining bidders dropped out at this instant.

  16. Revenue Ranking Results � All the revenue ranking results, that is, R Eng � R SP � R FP can be deduced by direct computation from the equilibrium strategies. � But, again helpful to abstract away from speci…cs ...

  17. Linkage Principle � Fix an auction A such that only winner pays. � Increasing equilibrium β A . � W A ( z , x ) = expected price paid by winner who bids β A ( z ) when signal is x . � FPA W FP ( z , x ) = β FP ( z ) � SPA W SP ( z , x ) = E [ β SP ( Y 1 ) j X 1 = x , Y 1 < z ] � When is W A ( x , x ) � W B ( x , x ) ?

  18. Linkage Principle Theorem 2 ( x , x ) ; and (ii) W A ( 0 , 0 ) = 0 = W B ( 0 , 0 ) , If (i) W A 2 ( x , x ) � W B then W A ( x , x ) � W B ( x , x ) � Proof: � Let G ( z j x ) = Pr [ Y 1 < z j X 1 = x ] . � Bidder’s problem in auction A Z z 0 v ( x , y ) g ( y j x ) dy � G ( z j x ) W A ( z , x ) max z � Optimal to set z = x , so 1 ( x , x ) = g ( x j x ) G ( x j x ) v ( x , x ) � g ( x j x ) W A G ( x j x ) W A ( x , x )

  19. Linkage Principle Similarly, in auction B : 1 ( x , x ) = g ( x j x ) G ( x j x ) v ( x , x ) � g ( x j x ) W B G ( x j x ) W B ( x , x ) If we write ∆ ( x ) = W A ( x , x ) � W B ( x , x ) then ∆ 0 ( x ) = � g ( x j x ) G ( x j x ) ∆ ( x ) + [ W A 2 ( x , x ) � W B 2 ( x , x )] Since ∆ ( 0 ) = 0 and ∆ ( x ) < 0 implies ∆ 0 ( x ) > 0 , we have ∆ ( x ) � 0 .

  20. Public Information Release � W FP ( z , x ) = β FP ( z ) � so W FP ( x , x ) = 0 2 h i � c β FP ( z , S ) j X 1 = x W FP ( z , x ) = E � so by a¢liation c W FP ( x , x ) � 0 2 R FP � R FP � Linkage principle now implies that b � Similar argument for R Eng � R SP

  21. Theory and Policy � A¢liation is key for existence of monotone pure strategy equilibria in FPA in asymmetric situations � Athey (2001) � Reny & Zamir (2004) � de Castro (2007) ("just right") � A¢liation + linkage principle ! advantages of open auctions � market design in other settings

  22. Empirical Work and Experiments � Hendricks, Pinkse and Porter (2003) use ex post value data to show that bidding in (symmetric) o¤-shore oil auctions is consistent with equilibrium of MW model. � Kagel and Levin’s (2002) extensive work on experiments concerning MW model.

  23. An Impossible Ideal � Beautiful deep theory � Clean results � Strong policy recommendations (open auctions, transparency) � Empirical support

  24. Generalizations? � Can the linkage principle be generalized to accommodate � asymmetries among bidders? � symmetric multi-unit auctions? � The two are closely related: even symmetric multi-unit auctions lead to asymmetries � my bid for …rst unit may compete with your bid for second unit

  25. Asymmetries and Revenue Rankings � Even with asymmetric independent private values ( F 1 6 = F 2 ) we know that R FP ? R SP Vickrey (1961) � Ranking depends on distributions � R FP ? R SP even if F 1 , F 2 are � stochastically ranked � regular � (truncated) Normals � Maskin and Riley (2000) classi…cation. � Also, FP is ine¢cient.

  26. bids β 2 β 1 ppppppppppppppppppppppppppppppppppppppppppppppppppppppppp ppppppppppppppppppppppppppppppppppppppppppppppppppppppp pppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp ppppppppppppppppppppppppppppppppppppppppppppppppppppp b 2 b 1 x 2 x 1 0 values

  27. Resale � Ine¢ciency leads to possibility of resale. � a simple model: � Stage 1: First-price auction � Price (winning bid) is announced � Stage 2: Winner (new owner) makes a take-it-or-leave-it o¤er to other buyer � Note resale takes place under incomplete information, so still ine¢cient

  28. Resale Theorem Suppose N = 2 and F 1 , F 2 regular. Then with resale FP � R SP R � Hafalir and Krishna (2008) � Extensions to N > 2?

  29. Public Information with Asymmetries: Example Suppose X 1 , X 2 , S uniform i.i.d. and x 1 + 1 v 1 ( x 1 , x 2 , s ) = 2 ( x 2 + s ) interdependent v 2 ( x 1 , x 2 , s ) = x 2 private � With no information release by seller, equilibrium in SPA β 1 ( x 1 ) = 2 x 1 + E [ S ] and β 2 ( x 2 ) = x 2 � With information release, b β 1 ( x 1 , s ) = 2 x 1 + s and b β 2 ( x 2 ) = x 2

  30. Example (contd.) � Given x 1 and x 2 , the (expected) prices are P = min f 2 x 1 + E [ S ] , x 2 g b P = E [ min f 2 x 1 + S , x 2 g ] � But "min" is a concave function and so b P < P . � In this example, release of information S = s decreases revenue in a SPA: R SP < R SP b � Similar failure of linkage principle in multi-unit auctions (Perry and Reny, 1999)

  31. Asymmetries and Revenue Rankings: Example Suppose 1 2 x 1 + 1 v 1 ( x 1 , x 2 , x 3 ) = 2 x 2 common 1 2 x 1 + 1 v 2 ( x 1 , x 2 , x 3 ) = 2 x 2 common = v 3 ( x 1 , x 2 , x 3 ) x 3 private X 1 , X 2 , and X 3 are i.i.d. uniform on [ 0 , 1 ] . � In this example R Eng < R SP � Revenue rankings do not generalize to asymmetric situations.

  32. From Revenue to E¢ciency � MW paper derives very general and powerful results on revenue comparisons in single -object symmetric settings. � As the examples show, general revenue ranking results are unlikely to hold in more general situations � for instance, question regarding treasury bill auctions (discriminatory vs. uniform-price) remains open � Auction theory has turned to the question of e¢ciency � much of this work is about the e¢cient allocation of multiple objects in a private value setting (Larry Ausubel’s talk) � but question of allocating single objects in asymmetric settings with interdependent values remains

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend