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A Spatial Cost of Living Index for Colombia using a Microeconomic Approach and Censored Data

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  • Atuesta, Laura
  • Paredes, Araya

Abstract

This paper describes a methodology to calculate a spatial cost of living index using Colombian data for 2006 that takes into consideration the microeconomic behavior of households. Using the Almost Ideal Demand System and recovering the expenditure functions for the 23 main Colombian cities, the index proposed is compared to the traditional methodologies used to calculate the regional basket of goods in the country and to an alternative methodology proposed by Romero (2005). This comparison suggests that when the substitution effects are not considered, and the same basket of goods is evaluated in every city, the index is biased, and this bias increases when the diference between cities increases. For reducing the bias, we use a microeconomic approach that keeps the households' level of utility constant and allows substitution among diferent baskets of goods. According to our calculations, Bogota is still the most expensive city in the country followed by Armenia, Cali, Bucaramanga and Ibague.

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:30580
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    File URL: https://mpra.ub.uni-muenchen.de/30580/1/MPRA_paper_30580.pdf
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    References listed on IDEAS

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    1. Deaton, Angus, 1987. "Estimation of own- and cross-price elasticities from household survey data," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 7-30.
    2. 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.
    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. 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.
    5. Braithwait, Steven D, 1980. "The Substitution Bias of the Laspeyres Price Index: An Analysis Using Estimated Cost-of-Living Indexes," American Economic Review, American Economic Association, vol. 70(1), pages 64-77, March.
    6. Keen, Michael, 1986. "Zero Expenditures and the Estimation of Engel Curves," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(3), pages 277-286, July.
    7. Robert A. Pollak, 1998. "The Consumer Price Index: A Research Agenda and Three Proposals," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 69-78, Winter.
    8. Ray, Ranjan, 1983. "Measuring the costs of children : An alternative approach," Journal of Public Economics, Elsevier, vol. 22(1), pages 89-102, October.
    9. 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.
    10. Russel J. Cooper & Keith R. McLaren, 1992. "An Empirically Oriented Demand System with Improved Regularity Properties," Canadian Journal of Economics, Canadian Economics Association, vol. 25(3), pages 652-668, August.
    11. Jorge Barrientos Marín, 2009. "On the Consumer Behavior in Urban Colombia: The Case of Bogotá," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, vol. 27(59), pages 83-99, June.
    12. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
    13. Reinhold Kosfeld & Hans-Friedrich Eckey & Matthias Türck, 2008. "New economic geography and regional price level," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 28(1), pages 43-60, February.
    14. Dusan Paredes & Patricio Aroca, 2008. "Metodología para Estimar un Indice Regional de Costo de Vivienda en Chile," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 45(131), pages 129-143.
    15. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    16. Dusan Paredes, 2011. "A methodology to compute regional housing price index using matching estimator methods," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(1), pages 139-157, February.
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    More about this item

    Keywords

    Spatial Price Index; Almost Ideal Demand System;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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