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Construction of a Spatial Housing Price Index by Estimating an Almost Ideal Demand System

Author

Listed:
  • Víctor Iturra

    (IDEAR - Department of Economics, Universidad Católica del Norte - Chile)

  • Dusan Paredes

    (IDEAR - Department of Economics, Universidad Católica del Norte - Chile)

Abstract
The aim of this article is to build a spatial housing price index for the Chilean communes (the commune political body similar to a municipality or county). The first step is to recover hedonic prices of three housing attributes by estimating a mixed index model (Bowden, 1992) using a generalized method of moments procedure. Secondly, a censored almost ideal demand system (Deaton and Muellbauer, 1980) is estimated to build expenditures for every commune and to compare them among different spatial units, while maintaining a constant utility level. Using micro data from the 2009 CASEN survey, we show that there are important differences in housing prices among Chilean communes and the axiomatic approach tends to understate spatial index compared to economic approach.

Suggested Citation

  • Víctor Iturra & Dusan Paredes, 2011. "Construction of a Spatial Housing Price Index by Estimating an Almost Ideal Demand System," Documentos de Trabajo en Economia y Ciencia Regional 11, Universidad Catolica del Norte, Chile, Department of Economics, revised May 2011.
    • Handle: RePEc:cat:dtecon:dt201101
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    References listed on IDEAS

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    Cited by:

    1. Dusan Paredes, 2013. "The Role of Human Capital, Market Potential and Natural Amenities in Understanding Spatial Wage Disparities in Chile," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(2), pages 154-175, June.
    2. Dusan Paredes Araya & Victor Iturra Rivera, 2013. "Substitution bias and the construction of a spatial cost of living index," Papers in Regional Science, Wiley Blackwell, vol. 92(1), pages 103-117, March.
    3. Dusan Paredes, 2012. "Alternative theories for explaining the spatial wage inequality: a multilevel competition among human capital, NEG and amenities," Documentos de Trabajo en Economia y Ciencia Regional 20, Universidad Catolica del Norte, Chile, Department of Economics, revised Apr 2012.
    4. Qingyun Du & Chao Wu & Xinyue Ye & Fu Ren & Yongjun Lin, 2018. "Evaluating the Effects of Landscape on Housing Prices in Urban China," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 109(4), pages 525-541, September.

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    More about this item

    Keywords

    Spatial housing price index; Mixed index; Demand system with censored data; Economic approach;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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