Abstract (eng)
This thesis analyses the determinants of the price for licensing intangible property, the royalty rate, for a sample of 1,834 agreements from the RoyaltyRange database, which has not been used in economic literature so far. For this, we use regression trees and their extension random forest as well as an OLS estimation. According to our findings, a global grant (instead of a restricted geographical scope), related parties, licensors who are universities, non-profit entities or individuals, the age of the agreement, the age of the licensor at the time of the agreement stipulation as well as the age difference between the licensor and the licensee are negatively associated with the royalty rate. We do not find any evidence for a significance influence of the exclusivity or the contract duration.