Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/194250
Authors: 
Navarrete, Mónica
Aroca, Patricio
Bernal, Jorge
Year of Publication: 
2017
Citation: 
[Journal:] Estudios de Economía [ISSN:] 0718-5286 [Volume:] 44 [Year:] 2017 [Issue:] 1 [Pages:] 53-80
Abstract (Translated): 
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.
Subjects: 
Spatial Matching
Small Areas Estimation
Household Surveys
Household Income
Business Intelligence
JEL: 
C5, C63, C81
Creative Commons License: 
https://creativecommons.org/licenses/by-nc-sa/4.0/
Document Type: 
Article
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