Jerry G. Thursby

Who Is Selling the Ivory Tower? Sources of Growth in University Licensing

Historically, commercial use of university research has been viewed in terms of spillovers. Recently, there has been a dramatic increase in technology transfer through licensing as universities attempt to appropriate the returns from faculty research. This change has prompted concerns regarding the source of this growth-specifically, whether it suggests a change in the nature of university research. We develop an intermediate input model to examine the extent to which the growth in licensing is due to the productivity of observable inputs or driven by a change in the propensity of faculty and administrators to engage in commercializing university research. We model licensing as a three-stage process, each involving multiple inputs. Nonparametric programming techniques are applied to survey data from 64 universities to calculate total factor productivity (TFP) growth in each stage. To examine the sources of TFP growth, the productivity analysis is augmented by survey evidence from businesses who license-in university inventions. Results suggest that increased licensing is due primarily to an increased willingness of faculty and administrators to license and increased business reliance on external R&D rather than a shift in faculty research.

Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities

This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.

Growth and productive efficiency of university intellectual property licensing

Abstract Licensing activity of US universities has increased substantially in recent years. We examine this increase focusing on the ‘productivity’ and ‘changes in productivity’ of licensing activity. While it is generally acknowledged that there has been a dramatic increase in licensing, there is little understanding of the licensing process as it relates to university characteristics, nor is there evidence on the extent to which this is the result of increased resources devoted to commercialization or whether it stems from other factors. This paper employs data envelopment analysis (DEA) combined with regression analysis to examine the overall productivity of university licensing activity as well as the productivity of individual universities. We find that licensing has increased for reasons other than increases in overall university resources. Given input levels, universities are today more commercially productive than they were in the recent past; we propose reasons for this shift and analyze factors associated with the shift and factors associated with relative levels of commercialization.

Bilateral Trade Flows, the Linder Hypothesis, and Exchange Risk

Bilateral trade flows are used to examine the Linder hypothesis and the effect of exchange-rate variability in a gra vity-type trade model derived from an underlying demand and supply mo del. A behavioral model is used to justify examining these issues joi ntly. The model performs well empirically using a sample of seventeen countries for the period 1974-82. The authors find overwhelming supp ort for the Linder hypothesis and this version of the gravity model. Moreover, they find strong support for the hypothesis that increased exchange-rate variability affects bilateral trade flows. Copyright 1987 by MIT Press.

Disclosure and licensing of University inventions: `The best we can do with the s**t we get to work with¿

Abstract We examine the interplay of the three major university actors in technology transfer from universities to industry: the faculty, the technology transfer office (TTO), and the central administration. We model the faculty as an agent of the administration, and the TTO as an agent of both the faculty and the administration. Empirical tests of the theory are based on evidence from our survey of 62 US research universities. We find that the TTOs reported licensing objectives are influenced by their views of faculty and administration, which supports the assumption that the TTO is a dual agent. The theory yields predictions for whether or not faculty disclose inventions and if so, at what stage, which in turn affects license contract terms. We also examine how the portion of inventions disclosed at different stages varies with faculty quality. Quality is found to be inversely related to the share of license income allotted to faculty.

US faculty patenting: Inside and outside the university

This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty members university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.

Some Properties of Tests for Specification Error in a Linear Regression Model

Abstract This article considers the test reset which is intended to detect a nonzero mean of the disturbance in a linear regression model. Analysis of an approximation to the test statistics distribution and Monte Carlo experiments reveal that the power of the test may decline as the size of the disturbance mean increases. However, the possibility is remote and declines with increasing sample size. Alternative sets of test variables are considered, and their effect on the power of the test is studied in Monte Carlo experiments. The best set seems to be composed of powers of the explanatory variables.

Are Faculty Critical? Their Role in University–Industry Licensing

Understanding the nature of the involvement of faculty in university licensing is important for understanding how technology is transferred through licensing as well as more controversial issues, such as the need for university licensing. Using data from a survey of firms that actively license-in from universities we explore the importance of faculty in the licensing and development of inventions, as well as how and why they are used and how the use of faculty relates to characteristics of firms. In particular we find that the use of faculty through sponsored research in lieu of a license is closely related to the amount of basic research conducted by firms whereas the use of faculty within the terms of a license is related to the prevalence of personal contacts between industry R&D researchers and university faculty.

Confidence Intervals for Elasticity Estimators in Translog Models

This paper examines the distribution fu nctions of elasticity estimators in translog demand models. The authors consider the normaland ratio-of-normals distributions and present confidence intervals for the elasticity estimators. The results suggest that only elasticity estimato rs based on the means of the actual cost shares are likely to follow either the normal or ratio-of-normals distribution function. Examination of three published empirical studies demonstrates that inferences regarding the values of elasticities cannot be made from point estimates alone and suggests a trade- off between the level of aggregation and the width of confidence intervals for the elasticit y estimators. Copyright 1986 by MIT Press.

Industry Perspectives on Licensing University Technologies: Sources and Problems

The authors report results of a survey of industry licensing executives who identified personal contacts between their R&D staff and university personnel as the most important source of university technologies. Journal publications and presentations at professional meetings were also important. While the least important sources were marketing efforts by universities and canvassing of universities, a number of executives did indicate that they were important. For those who do not license-in from universities, the most important reasons for not licensing-in (other than limited overall license-in activities) were reasons related to the nature of university research. A number cited university policies regarding delay of publication and ownership.