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Entry Deterrence and Free Riding in License Auctions: Incumbent Heterogeneity and Monotonicity

  • Biung-Ghi Ju and Seung Han Yoo EMAIL logo
Published/Copyright: March 11, 2021

Abstract

We examine free riding for entry deterrence in license auctions with heterogeneous incumbents. We establish the monotonicity of randomized preemptive bidding equilibria: an incumbent with a higher entry-loss rate has greater free-riding incentive, choosing a lower deterring probability. We then identify conditions for the existence of a series of fully or partially participating equilibria such that two or more incumbents with bounded heterogeneity in their entry-loss rates participate in randomized preemptive bidding. As an application, we examine a simple case of a bipartite group of participating incumbents consisting of one “leader” and many “followers”. We show that the policy of limiting the leader’s participation (set-asides for entrants, limiting participation of incumbents with excessive market shares, etc.) may or may not increase entry probability.

JEL Classification numbers: D44; D47; L13

Corresponding author: Seung Han Yoo, Department of Economics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea, E-mail:

This paper supersedes our earlier working paper, “License Auctions and Market Structure: Equilibrium Characterization.” We are grateful to the editor Javier Rivas and an anonymous referee for valuable suggestions. We would also like to thank Jay P. Choi, Tapan Mitra and Kiho Yoon for their helpful comments. Of course, all remaining errors are ours.


Acknowledgements

Biung-Ghi Ju gratefully acknowledges financial support from the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2016S1A3A2924944) and the Center for Distributive Justice in Institute of Economic Research at Seoul National University.

Appendix: Proofs

Proof of Lemma 1 Let i I \ H and b i w e . Then v i + Δ π i w e b i . Equivalently, w i π i ( n + 1 ) w e b i . In what follows, we show that for all b i and all b i w e , u i ( b i , b i ) u i ( b i , b i ) .

Case 1.

Consider b i such that there is an incumbent other than i who bids at least w e , that is, max { b j : j i } w e . Suppose b i max { b j : j i } . If i wins, then u i ( b i , b i ) = w i max { b j : j i } w i w e ; otherwise, u i ( b i , b i ) = π i ( n ) . If i bids b i < w e , then, since another incumbent deters the entry given b i , i’s payoff is π i ( n ) . Since w i w e π i ( n + 1 ) π i ( n ) (the first inequality holds for i I \ H ) and i has a positive chance of winning given ( b i , b i ) , the payoff from bidding b i , π i ( n ) , is greater than or equal to the payoff from bidding b i , which is a “strict mixture” of w i max { b j : j i } ( w i w e ) and π i ( n ) . Suppose b i < max { b j : j i } . Then, i’s payoff is π i ( n ) , which is the same as the payoff from bidding b i < w e .

Case 2.

Consider b i such that all other incumbents bid less than w e , that is, max { b j : j i } < w e . Then, u i ( b i , b i ) = w i w e . If i bids b i < w e , an entrant wins the license, and u i ( b i , b i ) = π i ( n + 1 ) . Since i I \ H , w i w e π i ( n + 1 ) , so bidding b i yields a payoff that is greater than or equal to the payoff from bidding b i . □

Proof of Proposition 1 We first show that any b + n \ i H B i is not an equilibrium. By Lemma 1, for i I \ H , bidding b i w e is weakly dominated. Let each i H bid b i < w e . Then for j H , u j ( b j , b j ) = π j ( n + 1 ) , but by bidding b j w e , u j ( b j , b j ) = w j w e . Since w e < v j + Δ π j , u j ( b j , b j ) > u j ( b j , b j ) . Let i , j H bid b i w e and b j w e , respectively. Then u i ( b i , b i ) w i w e , but by bidding b i < w e , u i ( b i , b i ) = π i ( n ) . Since w e > max i I v i , u i ( b i , b i ) > u i ( b i , b i ) . Next, we show that for all i H , each b B i is a pure strategy Nash equilibrium. Let i H and b B i . Then u i ( b i , b i ) = w i w e > π i ( n + 1 ) = u i ( b i , b i ) for any b i < w e since w e < v i + Δ π i , and u i ( b i , b i ) = w i w e = u i ( b i , b i ) for any b i w e with b i b i . Let j i . Then u j ( b j , b j ) = π j ( n ) > w j w e u j ( b j , b j ) for any b j b i since w e > max i I v i , and u j ( b j , b j ) = π j ( n ) = u j ( b j , b j ) for any b j < b i . □

Proof of Lemma 2 Suppose by contradiction that Pr σ i [ b i > w e ] > 0 . Then, either (i) for some h H , Pr σ [ b h > max j H \ { h } b j w e ] > 0 , or (ii) there is b ˆ > w e such that for each i H participating in preemption, Pr σ i [ b i = b ˆ ] + Pr σ i [ b i < w e ] = 1 (that is, each participating incumbent in H chooses the same deterring bid b ˆ above w e or a losing bid below w e ).

Case 1.

For some h H , Pr σ [ b h > max j H \ { h } b j w e ] > 0 . Let σ h be a mixed strategy that is obtained by lowering all bids higher than w e given σ h to w e , i.e.,  Pr σ h [ b h = w e ] = Pr σ h [ b h w e ] and for all b h < w e , Pr σ h [ b h b h ] = Pr σ h [ b h b h ] . Let B * { b : b h > max j H \ { h } b j w e } . For each b B * , by switching from σ h to σ h , h’s payoff strictly increases from u h ( b ) w h w e to π h ( n ) or α ( w h w e ) + ( 1 α ) π h ( n ) for some α = 1 2 , 1 3 , , 1 n 1 . For each b B \ B * , by switching from σ h to σ h , h’s payoff either increases or remains the same. Since Pr σ [ B * ] > 0 , h’s expected payoff from σ h is greater than h’s expected payoff from σ h , contradicting σ being a Nash equilibrium.

Case 2.

There is b ˆ > w e such that for each i H participating in preemption, Pr σ i [ b i = b ˆ ] + Pr σ i [ b i < w e ] = 1 . Pick any h H with Pr σ h [ b h = b ˆ ] > 0 . Define σ h as in Case 1. Let B ˆ { b : b h = b ˆ = max j H \ { h } b j } . Then, after switching from σ h to σ h , for any b B ˆ , h’s payoff strictly increases from α ( w h w e ) + ( 1 α ) π h ( n ) for some α = 1 2 , 1 3 , , 1 n 1 to π i ( n ) , and for all other b B \ B ˆ , h’s payoff either increases or remains the same. Hence, h’s expected payoff from σ h is greater than h’s expected payoff from σ h , contradicting σ being a Nash equilibrium.□

Proof of Lemma 3 Let any pair σ i , σ i be such that Pr σ i [ b i = w e ] = Pr σ i [ b i = w e ] for all bidders participating in preemption. For each S H , let Pr [ S ] be the probability that all incumbents in S bid w e , and all the other incumbents in H \ S bid an amount less than w e . That is,

Pr S j S   p j × j H \ S 1 - p j .

Then, for all i H , incumbent i’s expected payoff from bidding w e is given as

U i w e ; p - i S H \ i Pr S 1 | S | + 1 w i - w e + | S | | S | + 1 π i n  .

On the other hand, for all i H , incumbent i’s expected payoff from bidding b i < w e is given as

U i b i ; p - i S H \ i : S ϕ Pr S π i n + Pr ϕ π i n + 1  .

Since Pr σ h [ b h = w e ] = Pr σ h [ b h = w e ] = p h , for both mixed strategies σ h and σ h , bidder j obtains the same expected payoff as

Pr σ h b j = w e U j w e ; p - i + Pr σ h b j < w e U j ( b j ; p - I ) f o r a l l j a n d a l l σ j j h  .

This implies that for each h H , such σ h and σ h are payoff-equivalent. Hence, given i H and σ i , ( σ i , σ i ) is a binary preemptive Nash equilibrium if and only if ( σ i , σ i ) is a binary preemptive Nash equilibrium. By repeating it for all j i , ( σ i , σ i ) is a binary preemptive Nash equilibrium if and only if ( σ i , σ i ) is a binary preemptive Nash equilibrium. □

Proof of Proposition 3

Part 1.

| H | = 2 . We prove the existence of a unique solution of (14) which gives ( p 1 * , p 2 * ) 0 . Note that (14) is composed of two equations below:

Φ ( x 1 ) = λ 1 1 2 x 2 + 1 = λ 1 ; Φ ( x 2 ) = λ 2 1 2 x 1 + 1 = λ 2  .

The unique solution is given by x 1 * = 2 ( λ 2 1 ) and x 2 * = 2 ( λ 1 1 ) . Since ( λ 1 , λ 2 ) ( 1 , 1 ) , ( x 1 * , x 2 * ) 0 , which provides the unique FPRP equilibrium.

Part 2.

| H | 3 . Let H { 1 , , | H | } . Assume that all incumbents in H have identical entry-loss rate λ 0 . If there is an FPRP ( x h ) h H , then by Proposition 2 and (14), there is x 0 * such that x 0 * = x h for all h H and x 0 * is a solution of,

(25) Φ x 0 , , x 0 | H | - 1   e l e m e n t s = λ 0 .

Note that Φ ( x 0 , , x 0 ) λ 0 takes a negative value at x 0 = 0 , and it is continuous, strictly increasing and unbounded above. Hence, there exists a unique x 0 * > 0 such that Φ ( x 0 * , , x 0 * ) = λ 0 . Let x * ( x 0 * , , x 0 * ) and λ * ( λ 0 , , λ 0 ) . For each i H , each λ ( λ i ) i H , and x ( x i ) i H , let F i ( λ , x ) Φ ( x i ) λ i and F ( λ , x ) ( F i ( λ , x ) ) i H . Note that

D x F ( λ , x ) = [ 0 Φ ( x 1 ) x 2 Φ ( x 1 ) x | H | Φ ( x 2 ) x 1 0 Φ ( x 2 ) x | H | Φ ( x | H | ) x 1 Φ ( x | H | ) x 2 0 ] ,

and for all i , j H , Φ ( x i * ) / x i = Φ ( x j * ) / x j = c . Then

D x F ( λ * , x * ) = c [ 0 1 1 1 0 1 1 1 0 ] .

Then using (25) and applying Implicit Function Theorem for F ( λ , x ) at ( λ * , x * ) , there is an open set U + | H | containing λ * U and a unique continuously differentiable function g : U + | H | such that for all λ U , F ( λ , g ( λ ) ) = 0 . □

Proof of Proposition 4

Part 1.

Assume | S | = 2 and max i H λ i S . Let h arg max i H λ i and S { h , g } . From the proof of Proposition 3, there exist strictly mixed strategies ( x h * , x g * ) of two incumbents in S such that

(26) 1 2 x h * + 1 = λ g , a n d    1 2 x g * + 1 = λ h  .

For all i H \ S , let x i * 0 . It is optimal for i to choose a non-deterring bid with probability 1 ( x i * = 0 ) if (13) holds. Note that

Φ x i * λ i = 1 3 x h * x g * + 1 2 x h * + 1 2 x g * + 1 λ i = 1 3 x h * x g * + 1 2 x h * + λ h λ i ,

where the second equality follows from (26). Since λ h λ i 0 , we have Φ ( x i * ) λ i > 0 . Hence (13) holds. The uniqueness part follows from the uniqueness of the solution for (26).

Part 2.

Let S H . Suppose that all incumbents in S have an identical entry-loss rate λ 0 . Consider λ * such that for all i S , λ i * = λ 0 and for all j H \ S , λ j * λ 0 .

A profile of binary preemptive mixed strategies p * is a symmetric PPRP equilibrium with the set of participating incumbents S if (i) for all i H \ S , p i * = 0 , (ii) there is p 0 * > 0 such that for all i S , p i * = p 0 * and x i * p 0 * / ( 1 p 0 * ) and (iii) p * satisfies both (13) and (14).

Note that when all incumbents in S choose identical p 0 and x 0 = p 0 / ( 1 p 0 ) , (14) can be rewritten as follows:

(27) k = 0 | S | - 1 1 k + 1 | S | - 1 k x 0 k = λ 0 .

Existence of x 0 * satisfying (27) is straightforward. Let p 0 * be given by x 0 * = p 0 * / ( 1 p 0 * ) . For all i S , let x h * x 0 * and p i * p 0 * and for all i H \ S , let x i * 0 and p i * 0 . Then p * satisfies (14). We show that p * is a symmetric PPRP equilibrium with the group of participating incumbents S. We have only to show that p * satisfies (13), which establishes that it is optimal for the incumbents in H \ S to choose non-deterring bids. Let i H \ S . Since x i * = 0 ,

Φ x - i * - λ i = k = 0 | S | 1 k + 1 | S | k x 0 * k - λ i * = k = 0 | S | 1 k + 1 | S | k x 0 * k - k = 0 | S | - 1 1 k + 1 | S | - 1 k x 0 * k + k = 0 | S | - 1 1 k + 1 | S | - 1 k x 0 * k - λ i * = k = 0 | S | 1 k + 1 | S | k x 0 * k - k = 0 | S | - 1 1 k + 1 | S | - 1 k x 0 * k + λ 0 - λ i * ,

where the third equality follows from (27). Since the difference inside of the bracket is positive and and by assumption λ 0 λ i * 0 , we have Φ ( x i * ) λ i * > 0 , which shows (13).

Finally using the symmetric PPRP equilibrium and applying Implicit Function Theorem as in the proof of Proposition 3, we prove the rest of the proposition. For all x S + S , all λ S + S , and all i S , let F i ( λ S , x S ) Φ ( x S \ { i } , 0 H \ S ) λ i and F ( λ S , x S ) ( F i ( λ S , x S ) ) i S . Using x * corresponding to the above symmetric PPRP equilibrium p * with the set of participating incumbents S, F ( λ S * , x S * ) = 0 . Now applying Implicit Function Theorem as in the proof of Proposition 3, there is an open set U + S containing λ S * = ( λ 0 , , λ 0 ) and a unique continuously differentiable function g : U + S such that for all λ S U , F ( λ S , g ( λ S ) ) = 0 . Let λ be such that λ S U and for all i H \ S , λ i max { λ j : j S } . Define a profile x ˆ as x ˆ S g ( λ S ) and for all i H \ S , x ˆ i 0 . Then for all i S , F i ( λ S , x ˆ S ) = 0 , which means Φ ( x S \ { i } , 0 H \ S ) λ i = 0 . Hence (27) holds for all i S . We now show that (13) holds for all i H \ S . Let i H \ S . By assumption, there is j S be such that λ j λ i . Since x ˆ i = 0 ,

Φ ( x ˆ i ) λ i = b i B i h H \ { i } : b h = w e x ˆ h ( 1 μ ( b i ) + 1 ) λ i = b B h H : b h = w e x ˆ h ( 1 μ ( b ) + 1 ) λ i  .

Note that

b B h H : b h = w e x ˆ h ( 1 μ ( b ) + 1 ) = b B : b j = w e x ˆ j h H \ { j } : b h = w e x ˆ h ( 1 μ ( b ) + 1 ) + b B : b j = b j h H \ { j } : b h = w e x ˆ h ( 1 μ ( b ) + 1 ) = b B : b j = w e x ˆ j h H \ { j } : b h = w e x ˆ h ( 1 μ ( b ) + 1 ) + b j B h H \ { j } : b h = w e x ˆ h ( 1 μ ( b j ) + 1 ) = b B : b j = w e x ˆ j h H \ { j } : b h = w e x ˆ h ( 1 μ ( b ) + 1 ) + Φ ( x ˆ j )  .

Using this, we rewrite

Φ ( x ˆ i ) λ i = b B : b j = w e x ˆ j h H \ { j } : b h = w e x ˆ h ( 1 μ ( b ) + 1 ) + Φ ( x ˆ j ) λ i  .

Since Φ ( x ˆ j ) = λ j , x ˆ j > 0 , and λ j λ i , Φ ( x ˆ i ) λ i > 0 . □

Proof of Corollary 2

By a binomial expansion, (17) can be rewritten as

(28) 1 + x | S | - 1 - 1 x | S | - 1 = λ 0 1 + x | S | - 1 - 1 - λ 0 x | S | - 1 = 0  ,

where x is a function of | S | .[8] On the other hand, the entry probability of the PPRP is written as

( 1 p ) | S | 1 = 1 ( 1 + x ) | S | 1 .

To consider changes in the entry probability with respect to changes in | S | explicitly, denote x ( | S | ) . The derivative of ( 1 + x ) | S | 1 with respect to | S | then yields

d 1 + x | S | | S | - 1 d | S | = | S | - 1 1 + x | S | | S | - 2 d x | S | d | S | + ln 1 + x | S | 1 + x | S | | S | - 1 = - | S | - 1 1 + x | S | | S | - 2 ln 1 + x | S | 1 + x | S | | S | - 1 - λ 0 x | S | | S | - 1 1 + x | S | | S | - 2 - λ 0 | S | - 1 + ln 1 + x | S | 1 + x | S | | S | - 1 = λ 0 | S | - 1 1 + x | S | | S | - 2 - ln 1 + x | S | ( 1 + x | S | + x | S | | S | - 1 1 + x | S | | S | - 2 - λ 0 | S | - 1 < 0 ,

where d x ( | S | ) d | S | can be derived implicitly from (28). We obtain the negative sign since - ln 1 + x | S | ( 1 + x | S | + x | S | is equal to zero for x ( | S | ) = 0 , and strictly decreasing for all x ( | S | ) 0 .□

Proof of Proposition 5 First, examine case (i): λ f > λ l . By the monotonicity result of Proposition 2, x l * > x f * , and (18) implies that x f * > 0 , so x l * > x f * > 0 . It remains to show that the other incumbents optimally choose a non-deterring bid with probability 1. The payoff of each j H \ S

x l * k = 0 | S | - 1 1 k + 2 | S | - 1 k x f * k + k = 0 | S | - 1 1 k + 1 | S | - 1 k x f * k - λ j = x l * k = 0 | S | - 1 1 k + 2 | S | - 1 k x f * k + λ l - λ j ,

where the the equality follows from (18). Since the first term must be positive, and λ l λ j > 0 , we have Φ ( x j * ) λ j > 0 , implying that each incumbent j H \ S chooses the deterring bid with zero probability.

However, for case (ii), λ l > λ f , the monotonicity result of Proposition 2 implies x f * > x l * , and furthermore, for a sufficiently great λ l , we have a corresponding high value of x f * from (18), which can produce a negative value of x l * from (19). Hence, in this case, the existence of a PPRP equilibrium is not guaranteed.□

Proof of Proposition 6

Part 1.

By integrating both sides of a binomial expansion k = 0 | S | - 1 | S | - 1 k z k = 1 + z | S | - 1 , we obtain

k = 0 | S | - 1 | S | - 1 k 1 k + 1 z k + 1 = 1 + z | S | - 1 | S |

Hence we obtain (22) from (18). Similarly, by integrating both sides of a modification of a binomial expansion k = 0 | S | - 2 | S | - 2 k z k + 1 = z 1 + z | S | - 2 , we have

k = 0 | S | - 2 | S | - 2 k 1 k + 2 z k + 2 = z 1 + z | S | - 1 | S | - 1 - 0 z 1 | S | - 1 1 + t | S | - 1 d t = z 1 + z | S | - 1 | S | - 1 - 1 + z | S | - 1 | S | | S | - 1 .

The first term in the left-hand side of (19) can be rewritten as

x l * k = 0 | S | - 2 1 k + 2 | S | - 2 k x f * k = x l * x f * k = 0 | S | - 2 1 k + 2 | S | - 2 k x f * k + 1

Hence, applying the previous binomial expansion, we get

k = 0 | S | - 2 1 k + 2 | S | - 2 k x f * k + 1 = 1 + x f * | S | - 1 | S | - 1 - 1 + x f * | S | - 1 x f * | S | | S | - 1  ,

which leads to

x l * x f * k = 0 | S | - 2 1 k + 2 | S | - 2 k x f * k + 1 = x l * x f * 1 + x f * | S | - 1 | S | - 1 - 1 + x f * | S | - 1 x f * | S | | S | - 1 = x l * 1 + x f * | S | - 1 x f * | S | - 1 - 1 + x f * | S | - 1 x f * 2 | S | | S | - 1  .

The second term of the left-hand side of (19) can be rewritten as in the left-hand side of (22). Together, we get (23).

Now, using (22), (23) can be written as follow:

x l * 1 + x f * | S | - 1 x f * | S | - 1 - 1 + x f * | S | - 1 x f * 2 | S | | S | - 1 + 1 + x f * | S | - 1 - 1 x f * | S | - 1 = λ f  , 1 + x l * 1 + x f * | S | - 1 - x l * 1 + x f * | S | - 1 x f * | S | = 1 + λ f x f * | S | - 1  , 1 + x l * 1 + x f * | S | - 1 - λ l x l * = 1 + λ f x f * | S | - 1 ,

which leads to

( 1 + x l * ) ( 1 + x f * ) | S | 1 = λ l x l * + 1 + λ f x f * ( | S | 1 )  .

The difference in the entry probabilities of the symmetric equilibrium excluding the leader and the leader-follower equilibrium, namely the difference between (21) and (24) is given by

1 + x l * 1 + x f * | S | 1 1 + x ˆ f | S | 1 = λ l x l * + λ f x f * | S | 1 λ f x ˆ f | S | 1 = λ l x l * + λ f | S | 1 x f * x ˆ f  .

Therefore, λ l x l * + λ f ( | S | 1 ) ( x f * x ˆ f ) < 0 (or > 0 ) implies that exclusion of the leader increases (or decreases, respectively) the entry probability.

Part 2.

If a leader-follower PPRP equilibrium with the set S does not exists, there exists a leader-follower PPRP equilibrium with a subset of S. At least one PPRP with the leader exists with one follower by Proposition 4 (i). Fix λ f . Then, for any PPRP with a subset S ˆ of S, there exists a corresponding λ l value such that the entry probability from limiting the leader is higher than the PPRP if the leader’s probability x l * is equal to zero. In this case, from (19) or (23), each follower’s x f * is identical to that of a symmetric equilibrium case with S ˆ . From Corollary 2, we know that the entry probability from limiting the leader is higher than this PPRP with x l * = 0 .

A PPRP equilibrium ( x l * , x f * ) is a solution of simultaneous equations with (22) and (23). Consider a Jacobian matrix from the simultaneous equations such that

0 1 + x f * | S | - 1 x f * | S | x f 1 + x f * | S | - 1 x f * | S | - 1 - 1 + x f * | S | - 1 x f * 2 | S | | S | - 1 x l * 1 + x f * | S | - 1 x f * | S | - 1 - 1 + x f * | S | - 1 x f * 2 | S | | S | - 1 + 1 + x f * | S | - 1 - 1 x f * | S | - 1 x f ,

where

1 + x f * | S | - 1 x f * | S | x f = 1 + x f * | S | - 1 x f * | S | - 1 + x f * | S | - 1 x f * 2 > 0 ,

since the numerator is zero if x f * = 0 and its derivative ( | S | 1 ) ( 1 + x f * ) | S | 2 x f * | S | is positive for all x f * 0 . On the other hand, 1 + x f * | S | - 1 x f * | S | - 1 - 1 + x f * | S | - 1 x f * 2 | S | | S | - 1 > 0 for x f * 0 because it is from the first term (19). Thus, the determinant of the matrix is negative. By Implicit Function Theorem, this dominance still holds for other PPRP equilibria with a neighborhood of λ l due to continuity. □

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Received: 2020-09-15
Accepted: 2021-01-12
Published Online: 2021-03-11

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