Lifting the hood of supply and demand for trademarks of start-ups: Partial observability estimates
Reid, Gavin C.
John Wiley & Sons, Inc.
This paper estimates simultaneously the supply and the demand determinants of the trademark adoption decision made by start-ups. We use a partial observability econometric model, as non-adoption is unobserved. Estimation is by maximum likelihood using the partial observability bivariate probit (POBP) model for an unbalanced longitudinal panel of surviving US start-ups (2004 - 2011). Our model is shown to provide a good explanation of supply and demand determinants of trademark adoption. For example, size, incorporation and expenditure on R&D are important on the supply side; and copyrights, licensing out and being in a high knowledge information sector are important on the demand side.
Trademark adoption , Start-ups , Partial observability bivariate probit (POBP) model
Power, B. and Reid, G. C. (2022) 'Lifting the hood of supply and demand for trademarks of start-ups: Partial observability estimates', Managerial and Decision Economics, 44(1), pp. 311-321. doi: 10.1002/mde.3683
© 2022, the Authors. Managerial and Decision Economics published by John Wiley & Sons Ltd. This is an open access article under the terms of theCreative Commons Attribution-NonCommercial-NoDerivsLicense, which permits use and distribution in anymedium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.