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Kriging methodology for regional economic analysis: Estimating the housing price in Albacete

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  • Matías Martínez
  • José Lorenzo
  • Noela Rubio

Abstract

Because of the socioeconomic importance of the housing subsector in the local, regional, and national economy and its implications for housing policy, this paper attempts to analyze the spatial behavior of the free housing price in the city of Albacete. To achieve this aim, the authors have used the models and estimators imported from geology called kriging. To do this, it is necessary to know the spatial dependence structure of the process, which is shown in the variogram. Copyright International Atlantic Economic Society 2000

Suggested Citation

  • Matías Martínez & José Lorenzo & Noela Rubio, 2000. "Kriging methodology for regional economic analysis: Estimating the housing price in Albacete," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 6(3), pages 438-450, August.
    • Handle: RePEc:kap:iaecre:v:6:y:2000:i:3:p:438-450:10.1007/bf02294963
    DOI: 10.1007/BF02294963
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    Cited by:

    1. Pengyu Zhu & Jiarong Li & Kailai Wang & Jie Huang, 2024. "Exploring spatial heterogeneity in the impact of built environment on taxi ridership using multiscale geographically weighted regression," Transportation, Springer, vol. 51(5), pages 1963-1997, October.
    2. Srini Vasan & Adelamar Alcantara, 2016. "GIS-based Methods for Estimating Missing Poverty Rates & Projecting Future Rates in Census Tracts," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 1-13, August.
    3. Fan Liu & Min Min & Ke Zhao & Weiyan Hu, 2020. "Spatial-Temporal Variation in the Impacts of Urban Infrastructure on Housing Prices in Wuhan, China," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    4. Zuo Zhang & Xinhai Lu & Min Zhou & Yan Song & Xiang Luo & Bing Kuang, 2019. "Complex Spatial Morphology of Urban Housing Price Based on Digital Elevation Model: A Case Study of Wuhan City, China," Sustainability, MDPI, vol. 11(2), pages 1-17, January.

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