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Matching espacial para georreferenciar datos de encuestas de hogar

Listed author(s):
  • Mónica Navarrete
  • Patricio Aroca
  • Jorge Bernal

    ()

This paper develops a methodology using business intelligence (data warehouse) and OLAP tools (Online Analytical Processing) to match individuals from a household survey data to a census one. In order to geo-reference the household data, the method takes advantage of the geographical information of the census. Using the 2003 Household Survey and the 2002 Chilean Census of Population and Housing, the average household income is projected to intra-municipality levels and the results are compared to Elbers et al. (2003) methodology. The results show that the proposed methodology allows for taking into account and display the impact of intra-municipality heterogeneity and the spatial interaction among the spatial units.

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File URL: http://estudiosdeeconomia.uchile.cl/index.php/EDE/article/viewFile/45214/47276
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Article provided by University of Chile, Department of Economics in its journal Estudios de Economia.

Volume (Year): 44 (2017)
Issue (Month): 1 Year 2017 (June)
Pages: 53-80

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Handle: RePEc:udc:esteco:v:44:y:2017:i:1:p:53-80
Contact details of provider: Web page: http://www.econ.uchile.cl/

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  1. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
  2. Minot, Nicholas & Baulch, Bob, 2005. "Spatial patterns of poverty in Vietnam and their implications for policy," Food Policy, Elsevier, vol. 30(5-6), pages 461-475.
  3. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
  4. Claudio Agostini & Philip H. Brown & Diana Paola Góngora, 2008. "Nota Técnica Distribución espacial de la pobreza en Chile," Estudios de Economia, University of Chile, Department of Economics, vol. 35(1 Year 20), pages 79-110, June.
  5. Alessandro Tarozzi & Angus Deaton, 2009. "Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 773-792, November.
  6. Hentschel, Jesko, et al, 2000. "Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty: A Case Study of Ecuador," World Bank Economic Review, World Bank Group, vol. 14(1), pages 147-165, January.
  7. Claudio Agostini & Philip Brown & Andrei Roman, 2010. "Estimando Indigencia y Pobreza Indígena Regional con Datos Censales y Encuestas de Hogares," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 47(135), pages 125-150.
  8. Dusan Paredes & Patricio Aroca, 2008. "Metodología para Estimar un Indice Regional de Costo de Vivienda en Chile," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 45(131), pages 129-143.
  9. Mohamed Ayadi & Mohamed Amara, 2009. "Spatial Patterns and Geographic Determinants of Welfare and Poverty in Tunisia," Working Papers 478, Economic Research Forum, revised Mar 2009.
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