Dynamic spatial panels: models, methods, and inferences

By J. Paul Elhorst. Journal of Geographical Systems, 2012

615 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1a7b43ef4ebef0bbc4e9e2b70972e6a41c0bc267

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In Economics and Econometrics

Citations in the corpus

Spatial data analysis (2024, positive): “Ward & Gleditsch (2008) offers an intuitive introduction to spatial regression models, while Elhorst (2012), Halleck Vega & Elhorst (2015), LeSage (2014), and Rüttenauer (2022) present article-length introductions to spatial econometrics.”
Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models (2016, background): “Finally, as discussed in Lesage and Pace (2009), Elhorst (2010) and Elhorst (2012) for spatial lag models, unveiling the effects of each independent variable on the dependent response is not as straightforward as in the linear regression set up.”
For India's Rural Poor, Growing Towns Matter More than Growing Cities (2017, background): “For an excellent overview of the spatial Durbin model see Elhorst (2012). Note that the model is static.”
Tourism and regional income inequality: Evidence from China (2016, methodology): “To examine the stationarity of the data generating process (DGP), similar to Elhorst (2012), the conditions that |τ| < 1 − ρwmax, if ρ ≥ 0 ; |τ| < 1 − ρwmin , if ρ < 0 should be satisfied, when the weight matrix W is rownormalized, and the rows and columns of W and (I − ρW) are uniformly bounded.”
Unified M-estimation of fixed-effects spatial dynamic models with short panels (2018, background): “For detailed discussions on the identification of the SDPD models, see Elhorst (2012) and Lee and Yu (2015b). of observed regressors (Hsiao et al., 2002).”
Conflict, Climate, and Cells: A Disaggregated Analysis (2018, neutral): “[27] Elhorst, J.”