Table 7: Brand owner vs matched control group pre/post-cancellation (1st cancellation) filing behavior
|
All
|
|
Companies
|
|
Foreign
|
+/-24 months
|
|
|
|
|
|
|
|
[1a]
|
[2a]
|
|
[3a]
|
|
[4a]
|
Post-cancel.× Squatted TM
|
-1.135
(0.740)
|
-0.251
(0.809)
|
|
-0.248
(0.910)
|
|
0.707
(0.698)
|
Post-cancellation
|
0.170
(0.767)
|
0.186
(0.813)
|
|
0.220
(0.922)
|
|
-0.541
(0.585)
|
ln(TM stock)
|
|
3.636***
(0.653)
|
|
3.772***
(0.689)
|
|
3.051***
(0.815)
|
Time dummies
|
Yes
|
Yes
|
|
Yes
|
|
Yes
|
Brand/TM owner FE
|
Yes
|
Yes
|
|
Yes
|
|
Yes
|
# Observations
|
2,876
|
2,876
|
|
2,570
|
|
1,978
|
Brand owners
|
43
|
43
|
|
41
|
|
36
|
Control TM owners
|
127
|
127
|
|
111
|
|
81
|
+/-36 months
|
|
|
|
|
|
|
|
[1b]
|
[2b]
|
|
[3b]
|
|
[4b]
|
Post-cancel.× Squatted TM
|
-1.509*
(0.712)
|
-0.580
(0.685)
|
|
-0.631
(0.752)
|
|
-0.016
(0.574)
|
Post-cancellation
|
-0.735
(0.715)
|
-3.710***
(0.953)
|
|
-3.927***
(1.036)
|
|
-0.265
(0.607)
|
ln(TM stock)
|
|
3.839***
(0.933)
|
|
4.005***
(0.970)
|
|
2.671***
(0.671)
|
Time dummies
|
Yes
|
Yes
|
|
Yes
|
|
Yes
|
Brand/TM owner FE
|
Yes
|
Yes
|
|
Yes
|
|
Yes
|
# Observations
|
4,177
|
4,177
|
|
3,735
|
|
2,885
|
Brand owners
|
43
|
43
|
|
41
|
|
36
|
Control TM owners
|
127
|
127
|
|
111
|
|
81
|
Notes: OLS FE regression. Dependent variable: number of trademark filings by brand owner. Cancellation date defined by date cancellation request filed where cancellation represents 1st cancellation by brand owner to squatted trademark or 1st cancellation by control brand owner during the sample period. Control group matched based on characteristics (filing year, trademark type, trademark use, existence of priority filing, Nice classes) of squatted trademark. Robust standard errors clustered at the trademark applicant-level. We indicate statistical significance at the 10%, 5% and 1% level using *, **, and ***, respectively.
Appendix: Model extensions and proofs of propositions
A.1 Model extension: Informational Advantage
For simplicity, in the basic model presented in Section 2.1 we have assumed that the squatter knows at date 1 whether the state is good or bad. We now extend our model to allow for a less extreme form of informational advantage. For that, let
ω denote the state of the market and G (B) to represent the good (bad) state; i.e.,
ω ∈ {G, B}. The squatter’s information comes in the form of a symmetric binary signal
s with precision
q:
,
where
q > 0
.5.
53 To simplify our discussion, we assume both an expensive cancellation system and that
c1 =
c2 =
c.
The squatter must now decide whether to file an application or not after observing signal
s. Let us assume that he finds it profitable to file an application if, and only if, he receives a good signal.
More formally, let us assume that the following inequality holds:
,
where
and
, and by Bayes’s rule
, and
.
Note that as
q becomes arbitrarily close to one, the squatter knows, as in our basic model, the state of the market with certainty. It should then be clear that all our previous results still hold, although the equilibrium expressions are much more involved.
A.2 Model extension: Cheap Cancellation System
Under a cheap cancellation system, if negotiations end up in disagreement the brand owner will find it profitable to initiate a cancellation procedure. So, the reservation or disagreement payoffs for the negotiations are given by
d = (
h˜
− k, 0). Now the price
p at which the trademark will be sold to the brand owner solves:
,
where, as before,
τ ∈ (0
, 1) is the relative bargaining power of the squatter. The unique solution to the above problem is:
,
and hence payoffs are:
,
.
Intuitively, as the reservation payoff of the brand owner is strictly positive under this system, the price at which the trademark will be traded is smaller than the equilibrium price under an expensive cancellation system. It should then be clear that all our results hold in this case with the only difference that now the smallest cost that makes
the net value of waiting positive is
,
and the largest cost that makes squatting profitable is
.
Hence, under a cheap cancellation system, the squatting active equilibrium will more likely to take place for smaller values of
c.
A.3 Proof of Proposition 3
Proof. It follows directly from our previous definitions and the expressions for c*i for i = 1, 2.
□
A.4 Proof of Proposition 4
changes. Since
we have the result. □
A.5 Proof of Proposition 5
Proof. Note that
c*2 is a constant function of
µ. Hence it does not change when
µ changes. Since
we have the result. □
A.6 Proof of Proposition 6
Proof. Simple calculations yield:
,
.
Thus, the preemptive equilibrium is increasing in λ. To demonstrate that the squatting active equilibrium is increasing in λ, it suffices to show that
.
Using the preceding expressions we have:
,
since c*2≥c*1. □
A.7 Proof of Proposition 7
Proof. First note that:
.
Notice now that:
,
since dµ < 0. Proceeding along similar lines, after some simple mathematical manipulations, we have:
,
since dµ < 0. □
A.8 Proof of Proposition 8
Proof. Note first that:
.
After simple calculations:
;
,
and since:
,
we have that:
.
Finally, note that:
. □
[End of Annex and of document]