Viego, Valentina and Temporelli, Karina (2010): Econometría espacial: una aplicación a los problemas de sobrepeso y obesidad en las provincias de Argentina.
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Abstract
Despite their vigorous expansion in the last 30 years in the field of econometrics, spatial models are still not widely disseminated in the empirical literature in Argentina focused on quantitative aspects of regional scope. This paper aims to present the central lines of spatial econometric analysis applied to the problem of overweight in the population and its determinants. We use provincial data from the National Survey on Risk Factors. The results show that conventional econometric tools are insufficient for identifying the individual impact of income, poverty or education on the phenomenon of overweight.
Item Type: | MPRA Paper |
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Original Title: | Econometría espacial: una aplicación a los problemas de sobrepeso y obesidad en las provincias de Argentina |
English Title: | Spatial econometrics: an application to obesity indicators in Argentinian provinces |
Language: | Spanish |
Keywords: | econometría espacial, obesidad, sobrepeso |
Subjects: | I - Health, Education, and Welfare > I1 - Health > I12 - Health Behavior C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C21 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile Regressions |
Item ID: | 26878 |
Depositing User: | VN Viego |
Date Deposited: | 21 Nov 2010 21:51 |
Last Modified: | 27 Sep 2019 02:52 |
References: | Anselin L (1988); Spatial Econometrics: Methods and Models. Boston, Kluwer Academic. Anselin L (1992); Space and applied econometrics: Introduction; Regional Science and Urban Economics, 22(3): 307-316. Anselin L (1995); Local indicators of spatial association – LISA; Geographical Analysis, 27: 93-115. Anselin L (1996); The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial Association; en M Fischer, H Scholten y D Unwin (eds); Spatial Analytical Perspectives on GIS; pp: 111-125; London: Taylor and Francis Anselin L y Bera A (1998); Spatial dependence in linear regression models with an Introduction to spatial econometrics; en A Ullah y D. Giles (Eds.); Handbook of Applied Economic Statistics, pp. 237-289; New York: Marcel Dekker. Anselin L y Florax R (1995) (eds); Small sample properties of test for spatial dependence in regression models: some further results; en L Anselin y R Florax (1995) (eds); New Directions in Spatial Econometrics. Berlin: Springer-Verlag. Anselin L y Rey S (1991); Properties of tests for Spatial dependence in linear regression models; Geographical Analysis; 23: 112-131. Dudek H (2005); The Relationship between a Condition Number and Coefficients of Variation, Statistical Review; 52 (1): 75-85. Paelinck J y Klaassen L (1979); Spatial econometrics; Farnborough: Saxon House. Parent O y LeSage J (2009); A space-time filter for panel data models containing random effects; University of Cincinnati, Economics Working Papers Series. Parent O y LeSage J (2010); A Spatial Dynamic Panel Model with Random Effects Applied to Commuting Times; University of Cincinnati, Economics Working Papers Series. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/26878 |