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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

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