Spatial Externalities, Spatial Multipliers, And Spatial Econometrics

By Luc Anselin. 2003

1,122 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6f04585fd0d9007241e1b08bbb48e27164c87670

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In Economics and Econometrics

Citations in the corpus

A general method for third-order bias and variance corrections on a nonlinear estimator (2015, background): “…g◦′n g ◦ n is the sample variance of the elements of diag(Gn), which is 0 when λ0 = 0; (ii) Gn = Wn + λ0W 2 n + λ 2 0W 3 n + . . ., if |λ0| < 1 and wn,ij < 1; and (iii) the diagonal elements of W rn , r ≥ 2 inversely relate to the number of neighbors for each unit, say {ki}ni=1, see Anselin (2003).”
Spatial data analysis (2024, positive): “In a cross-sectional framework, Anselin (2003) proposes an interpretation as an equilibrium outcome, where the partial impact represents an estimate of how this long-run equilibrium would change due to a change in x k (LeSage 2014).”
Spatial Panel Econometrics (2008, methodology): “…in spatial effects, the observations will be stacked as successive cross-sections for t = 1, . . . , T , referred to as yt (a N × 1 vector of cross-sectional observations for time period t), Xt (a N ×K matrix of observations on a cross-section of the explanatory variables for time period t) and t”
Spatial heterogeneity and interregional spillovers in the European Union: Do cohesion policies encourage convergence across regions? (2008, background): “From another perspective, this result means that a non-zero realization of a shock in a particular region theoretically will impact not only this region but, through the spatial transformation, all other regions (Anselin, 2003).”
In-migrant entrepreneurship in rural England: beyond local embeddedness (2006, background): “Thus, proximity (geographical, industrial, organizational and institutional) is perceived to be instrumental in facilitating the emergence of shared patterns of behaviour, which in turn underpin collective learning processes (Kirat and Lung 1999, Anselin 2003, Audretsch 2003).”
Environmental performance, innovation and spillovers. Evidence from a regional NAMEA (2013, neutral): “Referring to Anselin (2003) in his discussion on conditional and simultaneous spatial models and structural and reduced form, we claim that the procedure we chose in this work by inserting an assumed exogenous spatially lagged dependent variable, is usually adopted in spatial statistics (Cressie, 19”
Spatial autocorrelation and the selection of simultaneous autoregressive models (2007, methodology): “We first simulated three artificial data sets, which correspond to the mathematical formulation of the three model types for spatial externalities (Anselin, 2003).”