Regional convergence and agglomeration in Argentina: a spatial panel data approach

Nicole Madriaga (), Sylvie Montout and Patrice Ollivaud
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Nicole Madriaga: TEAM
Sylvie Montout: TEAM

Cahiers de la Maison des Sciences Economiques from Université Panthéon-Sorbonne (Paris 1)

Abstract: This paper examines the per capita income convergence process among 23 Argentinean provinces over the period 1983-2002. The purpose of this work is to apply new estimation methods following two-step procedure as in Badinger et al. (2004). We combine a spatial filtering of variables to remove the spatial correlation (Getis and Griffith, 2002) and suitable estimators for dynamic panels (using first-differenced and system GMM estimators). Our estimations on filtered variables reveal a conditional convergence process between Argentinean provinces and a positive and significant impact of agglomeration variables on growth rate. Hence, our results show that ignoring spatial distortions due to geographic proximity misleads estimations and underestimates the speed of convergence specifically for provinces that are distant from Buenos Aires. Moreover, we improve estimations of agglomeration effects when spatial autocorrelation is removed

Keywords: Growth; convergence; spatial dependence; spatial filtering; dynamic panels; Generalized Method of Monuments (search for similar items in EconPapers)
JEL-codes: C23 O00 R11 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2005-02
New Economics Papers: this item is included in nep-geo
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Citations: View citations in EconPapers (6)

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Related works:
Working Paper: Regional convergence and agglomeration in Argentina: a spatial panel data approach (2005)
Working Paper: Regional convergence and agglomeration in Argentina: a spatial panel data approach (2005)
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Persistent link: https://EconPapers.repec.org/RePEc:mse:wpsorb:bla05006

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