“Theory and Practice of Spatial Econometrics”

By James Paul LeSage. 2015

515 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/20a32f23a4bdad67d5b48c79c765c1f2e1d1a699

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Citations in the corpus

Integrating spatial dependence into stochastic frontier analysis (2012, background): “…(SAR) model (Whittle 1954; Mead 1967; Besag 1974; Ord 1975; Anselin 1988), the spatial error model (SEM) and its variant the higher order contiguity model or spatial Durbin model that allows for explanatory variables from neighbouring observations (LeSage 1999; Bell and Bockstael 2000).”
Determinants of a Digital Divide in Sub-Saharan Africa: A Spatial Econometric Analysis of Cell Phone Coverage (2008, background): “See Thomas (2007) or LeSage (1999) for detailed discussion of the methodology.”
Knowledge Coherence, Variety and economic Growth: Manufacturing Evidence from Italian Regions (2010, background): “Former treatment of spatial econometric issues can be found in Anselin (1988), subsequently extended by Le Sage (1999).”
The Spatial Extent of Water Quality Benefits in Urban Housing Markets (2011, methodology): “The respective specifications of the spatial lag models are referenced by Model 1S, Model 2S, and Model 3S in Table 3.13 Likelihood ratio tests (LeSage 1999) rejected the hypothesis of no spatial dependence.”
Productivity Growth and Pecuniary Knowledge Externalities: An Empirical Analysis of Agglomeration Economies in European Regions (2011, background): “The former treatment of spatial econometric issues can be found in Anselin (1988), subsequently extended by Le Sage (1999).”
A BAYESIAN PROBIT MODEL WITH SPATIAL DEPENDENCIES (2004, methodology): “LeSage (1999) suggests a normal or t− distribution be used as a transition kernel in the Metropolis-Hastings step.”
Estimating the environmental Kuznets curve for ecological footprint at the global level: A spatial econometric approach (2013, methodology): “The model shown in (3) is referred to as a spatial Durbin model by Anselin (1988) due to the analogy with a suggestion by Durbin for the case of a time series model with residual autocorrelation (LeSage, 1999).”
GMM estimation of spatial autoregressive models with unknown heteroskedasticity (2010, background): “LeSage (1999) illustrates how the mean and variance of home selling prices change as we move across observations with different distances from the central business district.”
Spatial autocorrelation in multi-scale land use models (2003, background): “The most general formulation of a spatial autoregressive model is Eq. (2) (Anselin, 1988; LeSage, 1999 ).”
Instrumental Variable Quantile Estimation of Spatial Autoregressive Models (2007, background): “See, e.g., Anselin (1988), Glaeser et al. (1996), LeSage (1999) for more discussions on spatial heteroscedasticity.”