Equilibrium and Economic Growth: Spatial Econometric Models and Simulations

By Bernard Fingleton. 2001

194 citations recorded by the source corpus.

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Citations in the corpus

What do we know about geographical knowledge spillovers and regional growth?: A survey of the literature (2006, methodology): “For more information on the empirical tools and methods regarding the econometric analysis of regional growth and convergence processes, see, for example, ANSELIN and BERA (1996), ANSELIN (1998), REY and MONTIURI (1999), FINGLETON (2000, 2001) and KOSFELD and LAURIDSEN (2004).”
A spatial Mankiw–Romer–Weil model: theory and evidence (2011, unknown): “These regions, though varying in size, are generally considered to be the most appropriate spatial units for modelling and analysis purposes (Fingleton 2001).”
Where is the Economics in Spatial Econometrics (2012, unknown): “We make the following assumptions: eij jXij N(0; e) Cov(eij ; ei0j) = 0; 8i 6= i0 uj jXij N(0; u) Cov(uj ; eij) = 0 (36)”
Specification Issues in Models of Population and Employment Growth (2001, methodology): “…of many of the recent tools of spatial data analysis, recent articles have increasingly used spatial analysis to both model and interpret how proximate geographic areas grow (e.g. Fingleton, 2001; Goffette-Nagot and Schmitt, 1999; Mulligan, Vias, and Glavac, 1999; Roberts, 2000; Wheeler, 2001).”
Distinct spatial characteristics of industrial and public research collaborations: evidence from the fifth EU Framework Programme (2010, methodology): “Although varying considerably in size, NUTS-2 regions are widely viewed as the most appropriate unit for modelling and analysis purposes since the EU cohesion funds are allocated at the level of NUTS-2, and have been used in similar empirical studies (see, for example, Fingleton 2001; Maurseth and”
Knowledge Spillovers and Total Factor Productivity: Evidence Using a Spatial Panel Data Model (2009, background): “The NUTS-2 region, although varying considerably in size, is widely viewed as the most appropriate unit for modelling and analysis purposes (see, e.g., Fingleton 2001).”
Space and Growth (2004, background): “Examples are Cannon et al. (2000), Carrington (2003), Fingleton (2001) and Vayá et al. (2004).”
Returns to Local and Transport Infrastructure under Regional Spillovers (2007, background): “Thus, the matrix will display higher values for the weights in the case of a high value added in region j and physical proximity to region i (Wva_d2) as in Fingleton (2001):”
Pan-European regional income growth and club-convergence (2005, background): “NUTS-2 regions(33) although considerably varying in size are generally considered to be the most appropriate spatial units for modelling and analysis (Fingleton 2001).”
Spatial interaction modelling of cross-region R&D collaborations: empirical evidence from the 5th EU framework programme (2009, background): “Although varying considerably in size, NUTS-2 regions are widely viewed as the most appropriate unit for modelling and analysis purposes (see, for example, Fingleton 2001 ).”
Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction, with reference to Spain (2012, background): “In order to get to an empirically tractable reduced form, we follow closely the presentation of the model given in Fingleton ( 2001 , 2003b, 2004 ).”