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Subsidies to Electricity Consumption and Housing Demand in Bogotá

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  • Camila Casas

Abstract

In this paper, I estimate the demand for housing in Bogotá, modeling electricity consumption explicitly to take into account the crossed subsidies included in Colombian utility rates. I use household level data on housing prices, observable dwelling attributes, and demographic variables to recover the willingness to pay for housing characteristics following the three-step estimation procedure suggested by Bajari and Kahn (2005). First, I regress the price of housing against different observable dwelling characteristics to recover the implicit price of each feature. Next, I infer household-specific preference parameters from the utility maximizing first-order conditions, where a household’s utility depends on these observable characteristics. Finally, I analyze the relationship between demographic variables and the taste parameters estimated in the previous step. In order to study the impact of subsidies on households’ housing decisions, I focus on the impact of changes in the price of electricity on the choice of dwelling size. I find that subsidized households choose bigger dwellings than they would in the absence of subsidies, while those who are taxed choose smaller ones.

Suggested Citation

  • Camila Casas, 2014. "Subsidies to Electricity Consumption and Housing Demand in Bogotá," Borradores de Economia 847, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:847
    DOI: 10.32468/be.847
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    References listed on IDEAS

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    1. Leonardo Morales & Carlos Medina, 2007. "Stratification and Public Utility Services in Colombia: Subsidies to Households or Distortion of Housing Prices?," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 41-99, January.
    2. Carlos Medina & Leonardo Fabio Morales, 2007. "Demanda por Servicios Públicos Domiciliarios en Colombia y Subsidios: Implicaciones sobre el Bienestar," BORRADORES DE ECONOMIA 004293, BANCO DE LA REPÚBLICA.
    3. Patrick Bajari & Matthew E. Kahn, 2005. "Estimating Housing Demand With an Application to Explaining Racial Segregation in Cities," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 20-33, January.
    4. Epple, Dennis, 1987. "Hedonic Prices and Implicit Markets: Estimating Demand and Supply Functions for Differentiated Products," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 59-80, February.
    5. Patrick Bajari & C. Lanier Benkard, 2005. "Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Journal of Political Economy, University of Chicago Press, vol. 113(6), pages 1239-1276, December.
    6. Kelly C. Bishop & Christopher Timmins, 2011. "Hedonic Prices and Implicit Markets: Estimating Marginal Willingness to Pay for Differentiated Products Without Instrumental Variables," NBER Working Papers 17611, National Bureau of Economic Research, Inc.
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    More about this item

    JEL classification:

    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • H4 - Public Economics - - Publicly Provided Goods
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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