Matlab Software for Spatial Panels
By J. Paul. 2014
872 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/6bb835cddf808a65640f2404a769fdc92d88b973
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Sandro Montresor
- F. Quatraro
- J. Burnett
- John C. Bergstrom
- Jeffrey H. Dorfman
- Solmaria Halleck Vega
- Jingjuan Jiao
- Fangni Zhang
In Transportation
- Jingjuan Jiao
- Fangni Zhang
- J. Burnett
- Robin C. Sickles
- John C. Bergstrom
- Jeffrey H. Dorfman
- J. Paul Elhorst
- Fengjun Jin
Citations in the corpus
- On spatial econometric models, spillover effects, and W (2013, methodology): “It should be stressed that this specification of ܹ is also used in Baltagi and Li (2004) and Elhorst (2012, 2013).”
- A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers (2015, methodology): “14 see LeSage and Pace (2009) and Elhorst (2014).”
- Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China (2020, methodology): “Three widely used spatial econometric models are introduced in Section 2.1 to examine the spatial autocorrelation, namely spatial Durbin model (SDM), spatial lag model (SLM) and spatial error model (SEM).”
- Regional Branching and Key Enabling Technologies: Evidence from European Patent Data (2017, methodology): “…exclusive reference to coefficients may not be reliable in ascertaining the existence of spatial spillovers (Le Sage and Pace 2009), following Elhorst (2014b), in the lower part of Table 9, we look at the effects that a change in our explanatory variables in a particular region have on the…”