Spatial dependence and the representation of space in empirical models

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Research Networks and Inventors' Mobility as Drivers of Innovation: Evidence from Europe (2013, background): “…implies an economically meaningful interpretation, that is, spillovers across regions captured in the spatial lag of the dependent variable, whereas the spatial error autocorrelation can be attributed to noise (ANSELIN, 1988) or even to a misspecification of the model (ANDERSSON and GRÅSJÖ, 2009).”
Sources of persistence in regional start-up rates--evidence from Sweden (2009, background): “Although the market-size variable could be argued to partly capture spatial effects across municipalities (cf. Andersson and Gråsjö, 2009), we know of no formal test for assessing this issue in a dynamic panel data context.”
The Complementary Effects of Proximity Dimensions on Knowledge Spillovers (2014, methodology): “Moreover, the measurement of social and organizational relationships could benefit from the availability of better indicators related to commuting, time distance and cooperative agreements as it is done by Andersson and Grasjö (2009) for the case of”
Start-ups and Local Entrepreneurial Social Capital in the Municipalities of Sweden (2014, unknown): “First, as noted by ANDERSSON and GRÅSJÖ (2009), the problem may itself be viewed as a symptom of the fact that the model lacks proper representation of some phenomena; these authors conclude that the inclusion of spatially lagged variables alleviates problems with spatial dependency.”