A new approach to measuring time-lags in technology licensing: study of U.S. academic research institutions

This paper contributes to measurement of licensing performance of U.S. research institutions by suggesting an approach for identifying time-lags in the licensing process. Licensing is a multi-state process starting with a disclosure, and resulting in intermediate outcomes such as patents, licensing agreements, and licensing income. The time duration among these variables is critical in understanding which investment is responsible for which outcome. This study develops a statistic procedure estimating time-lag coefficients among licensing variables using an unstructured regression model (OLS). The procedure is applied to 46 U.S. academic research institutions using the licensing survey data from 1991 to 2007 by Association of University Technology Manager. The results present individual time-lag relationships between each pair of licensing variables.