Mostly pointless spatial econometrics

By S. Gibbons, Henry G. Overman. 2012

657 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b9e948465e8dc9f2837de23eb2c9e51990fd7997

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In Economics and Econometrics

Citations in the corpus

Linear Spatial Dependence Models for Cross-Section Data (2014, background): “As recently pointed out by Gibbons and Overman (2012), the explanation for this finding is that interaction effects among the dependent variable on the one hand and interaction effects among the error terms on the other hand are only weakly identified.”
Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models (2016, background): “Gibbons and Overman (2012) favor model (column 5) and argue that the SLXmodel is better in taking endogeneity into account. Nevertheless, the SDM reported in column 6 is the focus of our analysis. As argued in Sect. 3, Lesage and Fischer (2008) prefer the SDM specification, arguing that the conjunct”
Spatial Regression Models: A Systematic Comparison of Different Model Specifications Using Monte Carlo Experiments (2019, neutral): “…combines all the spatial processes of the previous specifications, this model only plays a minor role in applied research, as this specification—analogous to Manski’s (1993) neighborhood effects model—is not or only weakly identifiable (Cook, Hays, and Franzese 2015; Gibbons and Overman 2012).”
Knowledge flows and the absorptive capacity of regions (2015, background): “This lack of underlying theoretical foundations driving spatial processes and the severe identification problems of these techniques have been pointed out recently by prominent scholars (Gibbons and Overman, 2012).”
The Empirics of Agglomeration Economies (2014, neutral): “This prediction is supported by Gibbons et al. (2011) who show that in Great Britain there is an almost one for one relationship between local housing costs and nominal earnings, which are higher in larger cities, once the effects of housing quality and workers skills are netted out.”
The carbon dioxide emissions of firms:a spatial analysis (2013, background): “Firm size: Studies such as Pargal and Wheeler (1996) and Gray and Shadbegian (2007) indicate that larger firms are typically less pollution intensive than smaller firms. This is likely to reflect economies of scale in both resource use and abatement activities. In addition, Nakamura et al. (2001) an”
A Decade of Natural Gas Development: The Makings of a Resource Curse? (2014, background): “There is some evidence that unconventional gas drilling affects newborn health and lowers the values of homes that rely on well water (Muehlenbachs, Spiller, and Timmins, 2012; Hill, 2012).”
Tax competition among local governments: Evidence from a property tax reform in Finland (2012, neutral): “error terms are spatially correlated (Gibbons and Overman, 2010).”
Spatial data analysis (2024, neutral): “However, in practice the GNS is rather useless as an estimation model, as it is only weakly identifiable at best (Gibbons & Overman 2012).”
Proximity, networking and knowledge production in Europe: What lessons for innovation policy? (2013, background): “14 The SAR specification has recently been criticized (Partridge et al., 2012 and Gibbons and Overman, 2012) for lacking identification of the ρ parameter (see model 2) when the weight matrix is block-diagonal and idempotent.”
Classification and valuation of urban green spaces—A hedonic house price valuation (2013, methodology): “Gibbons and Overman (2012) and McMillen (2012), the GAM model is an attractive alternative as it imposes less restrictive assumptions on the unobserved spatial processes omitted from the hedonic model.”