Theoretical economic geography and spatial econometrics: dynamic perspectives
By Bernard Fingleton. 2001
119 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/51d687d00fb074f0c58012922146868ca4290db4
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
- M. M. Fischer
- James Paul LeSage
- M. Gómez-Antonio
- Harald Badinger
- G. Tondl
- Bernard Fingleton
- Luc Anselin
- Solmaria Halleck Vega
Citations in the corpus
- Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction, with reference to Spain (2012, methodology): “Following Fingleton (2006), combining equations 14 and 16 gives”
- US Metropolitan Area Resilience: Insights from dynamic spatial panel estimation (2017, unknown): “As shown by Thirlwall and McCombie (1994), Fingleton (2001a, 2001b), Dall’erba et al. (2009), Le Gallo and Páez (2013) and Britto and McCombie (2015), among others, various other specifications exist, and most relevant from the perspective of the current paper is the static Verdoorn law written as…”
- Spatial Growth Regressions: Model Specification, Estimation and Interpretation (2008, methodology): “Finally, we follow Fingleton (2001) and consider (log) population density and (log) area as candidate explanatory variables.”
- Trade, Human Capital and Innovation: The Engines of European Regional Growth in the 1990s (2002, background): “Finally, the issue of spatial correlation has been raised in the recent growth literature (Rey and Montouri, 1999; Niebuhr, 2001; Fingleton, 2001).”