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A true cost of living index for Spain using a microeconomic approach and censored data

Author

Listed:
  • Elena Lasarte Navamuel

    (REGIOLab, University of Oviedo - Spain)

  • Dusan Paredes

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

  • Esteban Fernández Vázquez

    (REGIOLab, University of Oviedo - Spain)

Abstract

A true Cost of Living (COL) index measures the expenditure ratio of maintaining a utility level for two price vectors. Its application and empirical testing has been, generally, focalized on a temporal perspective. The aim of this paper is to calculate a spatial COL for the regions of Spain. For this purpose, we will use the microdata from the 2010 Households Budget Survey (EPF, Encuesta de Presupuestos Familiares) provided by the Spanish Statistical Institute (INE, Instituto Nacional de Estadística). We will denominate this index Spatial Cost of Living Index (SCOL). This type of analysis is not usually made by the national statistical agencies and Spain is not an exception. We use a microeconomic approach that keeps the households’ level of utility constant and allows substitution among different baskets of goods across space. The results reveal large differences in SCOL across the Spanish regions. The estimates of the SCOL index allows for reconsidering regional comparisons in terms of average wages. Even when nominal monetary magnitudes for Regional Accounts show great regional disparities, regional differences are largely moderated when the wage figures are corrected by our SCOL.

Suggested Citation

  • Elena Lasarte Navamuel & Dusan Paredes & Esteban Fernández Vázquez, 2012. "A true cost of living index for Spain using a microeconomic approach and censored data," Documentos de Trabajo en Economia y Ciencia Regional 26, Universidad Catolica del Norte, Chile, Department of Economics, revised Aug 2012.
    • Handle: RePEc:cat:dtecon:dt201212
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    References listed on IDEAS

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    1. Timmins, Christopher, 2006. "Estimating spatial differences in the Brazilian cost of living with household location choices," Journal of Development Economics, Elsevier, vol. 80(1), pages 59-83, June.
    2. Michael J. Boskin, 1998. "Consumer Prices, the Consumer Price Index, and the Cost of Living," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 3-26, Winter.
    3. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    4. Koo, Jahyeong & Phillips, Keith R & Sigalla, Fiona D, 2000. "Measuring Regional Cost of Living," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 127-136, January.
    5. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    6. 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.
    7. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    8. Vera Lucia Fava, 2010. "Price dispersion and price indexes," Applied Economics, Taylor & Francis Journals, vol. 42(1), pages 23-36.
    9. Dean Jolliffe, 2006. "Poverty, Prices, and Place: How Sensitive is the Spatial Distribution of Poverty to Cost of Living Adjustments?," Economic Inquiry, Western Economic Association International, vol. 44(2), pages 296-310, April.
    10. Jose Alberto Molina, 1998. "Analysing the effects of price changes on the cost of living of consumers using true indices," Applied Economics Letters, Taylor & Francis Journals, vol. 5(10), pages 639-644.
    11. Laura H. Atuesta & Dusan Paredes Araya, 2012. "A spatial cost of living index for Colombia using a microeconomic approach and censored data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(18), pages 1799-1805, December.
    12. Atuesta, Laura & Paredes, Araya, 2011. "A Spatial Cost of Living Index for Colombia using a Microeconomic Approach and Censored Data," MPRA Paper 30580, University Library of Munich, Germany.
    13. Jens Suedekum, 2006. "Agglomeration And Regional Costs Of Living," Journal of Regional Science, Wiley Blackwell, vol. 46(3), pages 529-543, August.
    14. Alexandru Voicu & Michael L. Lahr, 2004. "Expenditure-based Interarea Cost of Living Index," Urban/Regional 0403006, University Library of Munich, Germany.
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    Cited by:

    1. Martijn Burger & Martijn Hendriks & Elena Ianchovichina, 2022. "Happy but Unequal: Differences in Subjective Well-Being across Individuals and Space in Colombia," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(3), pages 1343-1387, June.
    2. D Cortes & A Gallegos-Vargas & J Perez, 2023. "Expenditure Responses to Adverse Health Shocks: Evidence from a Panel of Colombian Households," Documentos de Trabajo 20787, Universidad del Rosario.
    3. Elena Lasarte Navamuel & Fernando Rubiera Moroll & Dusan Paredes, 2014. "City size and household food consumption: demand elasticities in Spain," Applied Economics, Taylor & Francis Journals, vol. 46(14), pages 1624-1641, May.
    4. Elena Lasarte Navamuel & Esteban Fernández Vázquez & Fernando Rubiera Morollón, 2017. "Higher cost of living in urban areas? An AIDS-based analysis of food in Spain," Regional Studies, Taylor & Francis Journals, vol. 51(11), pages 1665-1677, November.
    5. Pablo Gálvez & Petr Mariel & David Hoyos, 2016. "Análisis de la demanda residencial de los servicios básicos en España usando un modelo QUAIDS censurado," Estudios de Economia, University of Chile, Department of Economics, vol. 43(1 Year 20), pages 5-28, June.

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    Keywords

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    JEL classification:

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

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