Lifting the hood of supply and demand for trademarks of start‐ups: partial observability estimates

Bernadette Power; Gavin C. Reid

doi:10.1002/mde.3683

Lifting the hood of supply and demand for trademarks of start‐ups: partial observability estimates

Bernadette Power^*, Gavin C. Reid

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Article number	11
Journal	Managerial and Decision Economics
Volume	Early View
Early online date	3 Aug 2022
DOIs	https://doi.org/10.1002/mde.3683
Publication status	E-pub ahead of print - 3 Aug 2022

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Cite this

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abstract = "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.",

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AB - 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.

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Lifting the hood of supply and demand for trademarks of start‐ups: partial observability estimates

Abstract

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