Spatial Panel Econometrics

By Luc Anselin, J. Le Gallo, H. Jayet. 2008

800 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8293546b7258853be71ace394301174f4e2407f8

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In Economics and Econometrics

Citations in the corpus

Relationship between openness to trade and deforestation: : Empirical evidence from the Brazilian Amazon (2016, background): “If the value of this variable for a municipality is determined in part by its neighbors, then equilibrium will occur as a function of some existing spatial or social interaction process between both locations (Anselin et al., 2008).”
Seemingly unrelated regressions with spatial error components (2011, methodology): “1 Of particular interest for this paper are the extensions of SUR to panel data utilizing the error component model, see Avery (1977), Baltagi (1980), Magnus (1982) and Prucha (1984) to mention a few.”
A spatial panel data approach to estimating U.S. state-level energy emissions (2013, methodology): “To test for the presence of spatial dependence we begin by conducting the classical LM tests (Anselin et al., 2008; Burridge, 1980).”
Testing for Spatial Autocorrelation in a Fixed Effects Panel Data Model (2010, background): “…of spatial panel data models, it is only recently that an increasing interest is emerging in the econometric literature calling into question the typical cross-sectional independence assumption in panel data models (Elhorst, 2003 ; Anselin et al., 2008 ; Yu et al. 2008 ; Lee and Yu, 2008, 2009).”
Some recent developments in spatial panel data models (2010, methodology): “The recent survey in Anselin et al. (2008) provides a list of spatial panel data models and presents the corresponding likelihood functions.”
Matlab Software for Spatial Panels (2014, neutral): “As pointed out by Anselin et al. (2008), when specifying spatial dependence among the observations, a spatial panel data model may contain a spatially lagged dependent variable, or the model may incorporate a spatially autoregressive process in the error term.”
Where is the Economics in Spatial Econometrics (2012, methodology): “e = (INT IT M) 1 (9) in which is an NT 1 vector of innovations, is a scalar parameter and M is an N N matrix with similar properties to W.”
Dynamic spatial panels: models, methods, and inferences (2012, methodology): “…econometrics literature (Hamilton 1994; Enders 1995; Hendry 1995), the second problem of the spatial econometrics literature (Anselin 1988; Anselin et al. 2008; LeSage and Pace 2009), and the last two problems of the panel data econometrics literature (Hsiao 2003; Arrelano 2003; Baltagi…”
THE FUTURE OF SPATIAL ECONOMETRICS (2010, neutral): “There is a substantial literature on spatial panel data models (e.g., Baltagi, Song, and Koh, 2003; Druska and Horrace, 2004; Kapoor, Kelejian, and Prucha, 2007; Anselin, Gallo, and Jayet, 2008), both for fixed and for random effects.”
Panel data analysis—advantages and challenges (2007, positive): “…across cross-section units is assumed to follow a certain spatial ordering, i.e., dependence among cross-sectional units is related to location and distance, in a geographic or more general economic or social network space (e.g., Anselin 1988; Anselin and Griffith 1988; Anselin et al. 2006).”