2015
DOI: 10.1080/00343404.2015.1048796
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Market Potential, Spatial Dependences and Spillovers in European Regions

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Cited by 21 publications
(19 citation statements)
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References 31 publications
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“…This means that we cannot use the spatial econometric techniques to control for possible spatial autocorrelation. In any case it is proven that market potential actually captures potential spatial autocorrelation by itself (e.g., Bruna et al 2016). 7 We have also tried different initial values getting the same estimation results.…”
Section: Individual Wagesmentioning
confidence: 94%
“…This means that we cannot use the spatial econometric techniques to control for possible spatial autocorrelation. In any case it is proven that market potential actually captures potential spatial autocorrelation by itself (e.g., Bruna et al 2016). 7 We have also tried different initial values getting the same estimation results.…”
Section: Individual Wagesmentioning
confidence: 94%
“…The distance between provinces is measured in kilometres between their main towns; for the provinces of the islands, 100 km are added to distances, as a penalty for insularity (with the exception of the distances between the provinces of the same island). Similar definitions of DMP are widely used in the literature (Combes et al ; Bruna et al ; Ronsse and Rayp ). In some studies, instead, regional domestic market potential is computed taking interregional transportation costs or travel times within‐regions distance into account (Crafts ; Holl ; Martínez‐Galarraga ).…”
Section: The Role Of Marketsmentioning
confidence: 99%
“…() and Bruna et al. () we take per capita income as a proxy for wages. b We apply Boyer and Savageau′s () methodology to define this variable.…”
Section: Model Specification and Datamentioning
confidence: 99%
“…The explanatory variables, except for distance, are defined as the value of the province of destination k divided by the value of the province of origin j. a FollowingRedding and Venables (2004),Brakman et al (2009) andBruna et al (2016) we take per capita income as a proxy for wages.b We apply Boyer and Savageau 0 s (1985) methodology to define this variable. c The mean of the monthly data for the longest period available has been considered whenever there is no data for the whole period.…”
mentioning
confidence: 99%