Where is the Economics in Spatial Econometrics

By L. Corrado, Bernard Fingleton. 2012

549 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6a188547e0cb3a6e983c29527aec5e9a9a3d7702

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In Economics and Econometrics

Citations in the corpus

Quality of government and regional resilience in the European Union. Evidence from the Great Recession (2019, background): “Given that this is a critical issue in spatial econometric modelling (Corrado and Fingleton, 2012), we consider a broad range of alternative specifications of W.”
The Complementary Effects of Proximity Dimensions on Knowledge Spillovers (2014, background): “Overall, we think that for analysing knowledge transmission at the regional level our contribution, based on five different proximity dimensions, may represent a valuable attempt to account for the interconnectivity structure of the whole European territory by moving beyond the straightforward catch”
Proximity, networking and knowledge production in Europe: What lessons for innovation policy? (2013, background): “Following the traditional regional science literature, we consider both social and organizational structures to be the result of fixed or slowly evolving networks (Corrado and Fingleton, 2012).”
Multilevel Approaches and the Firm‐Agglomeration Ambiguity in Economic Growth Studies (2012, unknown): “Spatial spillover effects between regions may be highly relevant, and failing to account for these effects may underestimate the importance of ‘space’ in the performance of firms (Corrado and Fingleton 2011).”
The Slx Model (2015, methodology): “This allows for greater flexibility in the specification of W, which is an often criticized aspect of spatial econometric modeling (Corrado and Fingleton, 2012; McMillen, 2012).”
Linear Spatial Dependence Models for Cross-Section Data (2014, background): “In this respect, Corrado and Fingleton (2012) strongly argue for the use of more substantive theory in empirical spatial econometric modeling, especially regarding the modeling of W.”
Two-Step Lasso Estimation of the Spatial Weights Matrix (2015, background): “The choice of spatial weights has been a focus of criticism of spatial econometric methods, since estimation results highly depend on the researcher’s speciﬁcation of the spatial weights matrix [1–3].”