Externalities, Economic Geography, And Spatial Econometrics: Conceptual And Modeling Developments
By Bernard Fingleton. 2003
132 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/dbbcc97c8c0cc02142c5d17f731153d573d01a65
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. Gómez-Antonio
- Arnab Bhattacharjee
- C. Jensen-butler
- E. López‐Bazo
- Bernard Fingleton
- Martijn J. Burger
- Philip Kostov
- Dayton M. Lambert
Citations in the corpus
- On the Economic Foundation of the Urban Network Paradigm: Spatial Integration, Functional Integration and Economic Complementarities within the Dutch Randstad (2009, background): “All locations and regions in the modern economy interact to some extent (Fingleton, 2003).”
- Emoting with their feet: Bohemian attraction to creative milieu (2007, background): “4 Continuous spatial representations (as opposed to discrete or contiguous representations) are useful for modeling knowledge or information spillovers, since they originate locally then tend to decay over space (Fingleton, 2003).”
- Estimation of the Spatial Weights Matrix under Structural Constraints (2013, methodology): “Unfortunately, the accuracy of spatial weights a¤ects profoundly the estimation of spatial dependence models (Anselin, 2002; Fingleton, 2003).”
- Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction, with reference to Spain (2012, methodology): “Fingleton (2003b) hypothesized that the efficiency of the labour force employed within an area will be in part determined by commuting, the frequency of which falls as distance increases.”
- Empirical growth models with spatial effects (2006, background): “income in some influential studies (see Fingleton, 2003 ).”
- Model Boosting for Spatial Weighting Matrix Selection in Spatial Lag Models (2010, background): “This arbitrariness presents a serious problem to inference in such models, since estimation results have been shown to depend critically on the choice of spatial weighting matrix (Anselin, 2002; Fingleton, 2003).”