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**For each litigated patent, another was chosen at random from the set of all patents with the same application year and primary three-digit USPC assignment(thus controlling for technology and cohort effect).
* For each litigated and matched patent the following characteristics
# Nationality of the patent owner \\
# Technology field: the first assigned USPC class
# Number of claims: higher claim number associated with greater patent value and thus more disputes. !!!
# Citations
# Ownership: Individual, listed/unlisted company.
# Patent portfolio size: grouped into 1-100 , 100-900 , >900
# Relative size of potential disputants: measure of the asymmetry in portfolio size between a patentee and a representative disputant he can expect to face on each patent.Let <math>Z_{cf}</math> be the portfolio size for firm $f$ in technology class $c$, and let $Z_c = \sum_f Z_{cf}$ denote all patents in the class. $Z_f = \sum_c Z_{cf}$ is the portfolio size for firm $f$ $Z_c^* Z_c / n_c$ is the average portfolio size of the $n_c$ firms with patents in class $c$.The relative portfolio size of firm $f$ for patent $ i$ is given by:$R_{if} = Z_f /\sum_c w_{ci} Z_c^*$, where $w_ci = F_{ci}/F_i$ is the fraction of forward citations to patent $i$ that falls into technology class $c$.
# Technology concentration
<math display="block">\text{geometric series=Model==* Litigation process is analyzed in four steps:}\quad \sum_{i=0}^\infty 2^{# The probability that a suit is filed# Probability of a post-i}=2 </math>suit settlement, Pr(settlement| suit is filed)# Timing of any post suit settlement# Plaintiff (assumed to be the patentee) win rate, Pr(plaintiff wins| adjudication) * Legal costs are closely related to the stages that a case reaches rather than the actual length. * Two main models: # Divergent expectation(DE)#* each party estimates the quality of her case with error#* case goes to trial when one party is sufficiently optimistic about her case# Asymmetric information(AI)#* Probablity of the plaintiff win is private information#* An uninformed party makes an offer#* Trials arise in separating equilibria, thus a win rate for the informed party should tend to 100 percent. * They show that data strongly favors DE. * Probability of patent suit (Probit) ** Holders of large portfolios are less likely to file suits involving any given patent in their portfolio. * Postsuit outcomes** Not controlled for selection ** Given any selection that occurs, is there any remaining association between patent and patentee characteristics and the outcomes? No. [[Category: Internal]][[Internal Classification: Academic Paper| ]]

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