Space and Time Analysis of the Knowledge Production Function

نویسنده

  • Olivier Parent
چکیده

Research and development-based growth models aim to explain the role of technological progress in the growth process. The role of knowledge production and intertemporal spillover effects are investigated using a panel data set covering 49 US states over the period 1994-2004. The aim is to estimate knowledge flows in the context of a space-time dynamic suggested by the knowledge production function. A space-time specification is set forth that can be applied to panel data models with random effects. We compare models that have been proposed recently in the panel data literature to provide a better understanding of how new ideas diffuse across space and time. The results indicate that strong intertemporal knowledge spillovers are present. These results are interpreted in light of the existing theoretical and empirical literature on endogenous growth.

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تاریخ انتشار 2008