Model selection strategies in a spatial setting: Some additional results

By Jesús Mur, Ana Angulo. 2009

134 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/a9007b6c02fa60e611c60b308b0f61e92e5f4900

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

1. Robin C. Sickles
2. Luc Anselin
3. Karligash Kenjegalieva
4. Anthony J. Glass
5. Roger S. Bivand
6. Cem Ertur
7. Tobias Ruttenauer
8. J. Le Gallo

Citations in the corpus

• Spatial data analysis (2024, unknown): “There are two empirical strategies for model selection: a specific-to-general or a general-to-specific approach (Florax et al. 2003, Mur & Angulo 2009).”
• A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers (2015, background): “, 2003), a general-to-speci…c approach (Mur and Angulo, 2009) or a mix of the two (Elhorst, 2014).”
• Spatial Regression Models: A Systematic Comparison of Different Model Specifications Using Monte Carlo Experiments (2019, unknown): “In general, there are two different strategies: a specific-to-general or a general-to-specific approach (Florax, Folmer, and Rey 2003; Mur and Angulo 2009).”
• Thirty years of spatial econometrics (2010, background): “…detect multiple sources of misspecification, including functional form (Baltagi and Li 2001b), different types of spatial error correlation (Anselin 2001a; Anselin and Moreno 2003), various model selection strategies (Mur and Angulo 2006, 2009), and tests on non-nested hypotheses (Kelejian 2008).”