Spatial filtering, model uncertainty and the speed of income convergence in Europe
By Jesús Crespo Cuaresma, Martin Feldkircher. 2013
118 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/83ae76ddf36df48b9c1cbc106bd259e9751aecf5
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
- Zsuzsanna Csereklyei
- David I. Stern
- Mark F. J. Steel
- Brantley Liddle
- Muhammad Shahbaz
- S. Sorrell
- Avik Sinha
- Martin Feldkircher
Citations in the corpus
- Model Averaging and Its Use in Economics (2017, methodology): “Crespo Cuaresma et al. (2017) use SAR models to jointly model income growth and human capital accumulation and mitigate the computational requirements by using an approximation based on spatial eigenvector filtering as in Crespo Cuaresma and Feldkircher (2013).”
- Global Energy Use: Decoupling or Convergence? (2015, background): “Spatial filtering aims to remove the residual spatial autocorrelation by adding additional spatial control variables to the regression equation (Crespo Cuaresma and Feldkircher, 2013).”