On deriving reduced-form spatial econometric models from theory and their ws from observed flows: Example based on the regional knowledge production function

1Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Recent spatial econometric contributions call for empirical models to be more often derived from spatial theory and W matrices to be more closely related to actual inter-regional linkages. This manuscript answers this call by reviewing some of the latest developments and suggesting future research venues along these lines. All examples are based on the regional knowledge production function literature as enormous advances focusing on the spatial nature of the dynamics at work have taken place sinces Griliches (Bell J Econ 10(1):92–116, 1979) seminal but aspatial contribution. Furthermore, this literature offers several examples of spatial weight matrices that offer innovative ways to account for the nature, magnitude, asymmetry and directionality of inter-regional (knowledge) spillovers. We foresee that other exciting regional science topics will follow this path.

Cite

CITATION STYLE

APA

Dall’erba, S., Kang, D., & Fang, F. (2017). On deriving reduced-form spatial econometric models from theory and their ws from observed flows: Example based on the regional knowledge production function. In Advances in Spatial Science (pp. 127–139). Springer International Publishing. https://doi.org/10.1007/978-3-319-50590-9_7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free