Spatial matching for Georeferencing Data of Household Surveys

  • Mónica Navarrete Centro de Estudios Regionales CEUTA. Universidad de Tarapacá, Chile.
  • Patricio Aroca Centro de Economía y Política Regional (CEPR). Universidad Adolfo Ibáñez, Chile
  • Jorge Bernal Universidad de Tarapacá, Chile


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.
Keywords Spatial Matching, Small Areas Estimation, Household Surveys, Household Income, Business Intelligence
How to Cite
Navarrete, M., Aroca, P., & Bernal, J. (2017). Spatial matching for Georeferencing Data of Household Surveys. Estudios de Economía, 44(1), 53-80. Retrieved from