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Housing Tenure and Housing Demand in Colombia

Author

Listed:
  • Maria Angelica Arbelaez
  • Roberto Steiner
  • Alejandro Becerra
  • Daniel Wills

Abstract

Using the 2003 and 2008 Quality of Life Surveys, this paper identifies the factors that affect housing tenure decisions in Colombia. Households with higher incomes are more likely to purchase than to rent, and the choice of formal housing is positively associated with wealth. Households eligible for social housing subsidies are more likely to purchase than to rent, and those working in the informal sector are more likely to purchase informal dwellings. Subsidies and access to mortgage credit have a large positive impact on demand. Finally, savings have a positive effect on demand in 2008, but not in 2003. The positive effect on demand of both subsidies and credit is explained by demand for low- income housing.

Suggested Citation

  • Maria Angelica Arbelaez & Roberto Steiner & Alejandro Becerra & Daniel Wills, 2011. "Housing Tenure and Housing Demand in Colombia," Research Department Publications 4736, Inter-American Development Bank, Research Department.
  • Handle: RePEc:idb:wpaper:4736
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    References listed on IDEAS

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    Cited by:

    1. Luis Galvis & Bladimir Carrillo, 2013. "Índice de precios espacial para la vivienda urbana en Colombia: una aplicación con métodos de emparejamiento," Revista de Economía del Rosario, Universidad del Rosario, June.
    2. Depetris-Chauvin, Emilio & Santos, Rafael J., 2018. "Unexpected guests: The impact of internal displacement inflows on rental prices in Colombian host cities," Journal of Development Economics, Elsevier, vol. 134(C), pages 289-309.
    3. Natalia Salazar & Roberto Steiner & Alejandro Becerra & Jaime Ramírez, 2013. "Los efectos del precio del suelo sobre el precio de la vivienda para Colombia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 31(70), pages 18-66, July.
    4. Daniel Forero-Vargas & Victor Iturra, 2022. "Assessing the impact of recent Venezuelan immigration on housing rents in Colombia," Spatial Economic Analysis, Taylor & Francis Journals, vol. 17(4), pages 520-537, October.
    5. Camila Casas, 2014. "Subsidies to Electricity Consumption and Housing Demand in Bogotá," Borradores de Economia 12230, Banco de la Republica.
    6. Wilmar Alexander Cabrera-Rodríguez & Juan Sebastián Mariño-Montaña & Carlos Andrés Quicazán-Moreno, 2019. "Modelos hedónicos con efectos espaciales: una aproximación al cálculo de índices de precios de vivienda para Bogotá," Borradores de Economia 1072, Banco de la Republica de Colombia.
    7. Jessica Castaño & Mariana Laverde & Miguel Ángel Morales Mosquera & Ana María Yaruro, 2013. "Índice de Precios de la Vivienda Nueva para Bogotá: Metodología de Precios Hedónicos," Temas de Estabilidad Financiera 078, Banco de la Republica de Colombia.
    8. Juan Carlos Rodríguez Marín & Pedro Delgado Jaimes & Taide Botello Velasco, 2017. "Determinantes del precio de la vivienda en Bucaramanga," Revista Equidad y Desarrollo, Universidad de la Salle, issue 30, pages 39-59, December.

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    More about this item

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R28 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Government Policy
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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