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Articles in Refereed Journals
Innovation and Entrepreneurship Research

A Smooth Dynamic Network Model for Patent Collaboration Data

Bauer, Verena; Harhoff, Dietmar; Kauermann, Göran (2021). A Smooth Dynamic Network Model for Patent Collaboration Data AStA - Advances in Statistical Analysis 2021.

The development and application of models, which take the evolution of networks with a dynamical structure into account are receiving increasing attention. Our research focuses on a profile likelihood approach to model time-stamped event data for a large-scale network applied on patent collaborations. As event we consider the submission of a joint patent and we investigate the driving forces for collaboration between inventors. We propose a flexible semiparametric model, which allows to include covariates built from the network (i.e. collaboration) history.

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