IDEAS home Printed from https://ideas.repec.org/p/rbp/wpaper/2015-013.html
   My bibliography  Save this paper

Evaluando las Dinámicas de Precios en el Sector Inmobiliario: Evidencia para Perú

Author

Listed:
  • Vílchez, Diego

    (Banco Central de Reserva del Perú)

Abstract

Se emplea un procedimiento en dos etapas para analizar las dinámicas de largo plazo entre los precios reales de los departamentos y sus fundamentos. En este marco, primero se calcula índices de precios hedónicos utilizando información a nivel de transacción, y luego se estima un modelo de corrección de errores trimestral para el horizonte 1998-2014. Los determinantes de los precios utilizados para esta aplicación son: tasa de interés hipotecaria real, producto bruto interno real, y los volúmenes de transacción. Mediante una descomposición estructural del modelo se puede identificar y dar interpretación económica a los choques permanentes y transitorios que afectan al mercado inmobiliario. Además, se analiza distintos tramos de la distribución de precios para ver si existe una relación de largo plazo entre los sub-mercados. Finalmente, la forma reducida del modelo se emplea para generar proyecciones alternativas de precios.Los resultados de las estimaciones indicarían que los choques de ingreso y volumen de transacciones son los que tienen mayor poder explicativo sobre la dinámica de precios. Por otro lado, bajo supuestos razonables, las proyecciones sugieren que los precios reales enfrentarían un proceso desaceleración durante los próximos años.

Suggested Citation

  • Vílchez, Diego, 2015. "Evaluando las Dinámicas de Precios en el Sector Inmobiliario: Evidencia para Perú," Working Papers 2015-013, Banco Central de Reserva del Perú.
  • Handle: RePEc:rbp:wpaper:2015-013
    as

    Download full text from publisher

    File URL: https://www.bcrp.gob.pe/docs/Publicaciones/Documentos-de-Trabajo/2015/documento-de-trabajo-13-2015.pdf
    File Function: Application/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pantula, Sastry G., 1989. "Testing for Unit Roots in Time Series Data," Econometric Theory, Cambridge University Press, vol. 5(2), pages 256-271, August.
    2. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    3. Kiminori Matsuyama, 1990. "The Mathematical Appendix to Residential Investment and the Current Account," Discussion Papers 875, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    4. Jim Clayton, 1996. "Rational Expectations, Market Fundamentals and Housing Price Volatility," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 24(4), pages 441-470, December.
    5. Matsuyama, Kiminori, 1990. "Residential investment and the current account," Journal of International Economics, Elsevier, vol. 28(1-2), pages 137-153, February.
    6. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    7. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 2016. "Understanding Booms and Busts in Housing Markets," Journal of Political Economy, University of Chicago Press, vol. 124(4), pages 1088-1147.
    8. Johansen, Soren, 1992. "Determination of Cointegration Rank in the Presence of a Linear Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 383-397, August.
    9. Malpezzi, Stephen, 1999. "A Simple Error Correction Model of House Prices," Journal of Housing Economics, Elsevier, vol. 8(1), pages 27-62, March.
    10. Glaeser, Edward L. & Gyourko, Joseph & Saiz, Albert, 2008. "Housing supply and housing bubbles," Journal of Urban Economics, Elsevier, vol. 64(2), pages 198-217, September.
    11. Dennis R. Capozza & Patric H. Hendershott & Charlotte Mack, 2004. "An Anatomy of Price Dynamics in Illiquid Markets: Analysis and Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(1), pages 1-32, March.
    12. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    13. Jeremy C. Stein, 1995. "Prices and Trading Volume in the Housing Market: A Model with Down-Payment Effects," The Quarterly Journal of Economics, Oxford University Press, vol. 110(2), pages 379-406.
    14. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    15. David Genesove & Christopher Mayer, 2001. "Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, Oxford University Press, vol. 116(4), pages 1233-1260.
    16. Fabrizio Orrego, 2017. "Precios de viviendas en Lima," Investigación Conjunta-Joint Research, in: Gerardo Licandro & Jorge Ponce (ed.), Precios de activos internos, fundamentos globales y estabilidad financiera, edition 1, volume 1, chapter 7, pages 237-265, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    17. Robert J. Shiller, 2007. "Understanding recent trends in house prices and homeownership," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 89-123.
    18. Nancy Wallace, 1996. "Hedonic-based price indexes for housing: theory, estimation, and index construction," Economic Review, Federal Reserve Bank of San Francisco, pages 34-48.
    19. Jonathan McCarthy & Richard Peach, 2004. "Are home prices the next \\"bubble\\"?," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 1-17.
    20. Ms. Evridiki Tsounta & Mr. Camilo E Tovar Mora & Mr. Luis M. Cubeddu, 2012. "Latin America: Vulnerabilities Under Construction?," IMF Working Papers 2012/193, International Monetary Fund.
    21. Mr. Vladimir Klyuev, 2008. "What Goes Up Must Come Down? House Price Dynamics in the United States," IMF Working Papers 2008/187, International Monetary Fund.
    22. de Wit, Erik R. & Englund, Peter & Francke, Marc K., 2013. "Price and transaction volume in the Dutch housing market," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 220-241.
    23. Karl E. Case & Robert J. Shiller, 1990. "Forecasting Prices and Excess Returns in the Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 18(3), pages 253-273, September.
    24. Xiao, Zhijie, 2009. "Quantile cointegrating regression," Journal of Econometrics, Elsevier, vol. 150(2), pages 248-260, June.
    25. Luca GATTINI & Paul HIEBERT, 2010. "Forecasting and Assessing Euro Area House Prices Through the Lens of Key Fundamentals," EcoMod2010 259600061, EcoMod.
    26. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    27. Jonathan H. Mark & Michael A. Goldberg, 1984. "Alternative Housing Price Indices: An Evaluation," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 12(1), pages 30-49, March.
    28. Edward L. Glaeser & Joshua D. Gottlieb & Joseph Gyourko, 2012. "Can Cheap Credit Explain the Housing Boom?," NBER Chapters, in: Housing and the Financial Crisis, pages 301-359, National Bureau of Economic Research, Inc.
    29. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    30. Dennis R. Capozza & Patric H. Hendershott & Charlotte Mack & Christopher J. Mayer, 2002. "Determinants of Real House Price Dynamics," NBER Working Papers 9262, National Bureau of Economic Research, Inc.
    31. Ms. Evridiki Tsounta, 2009. "Is the Canadian Housing Market Overvalued? A Post-crisis Assessment," IMF Working Papers 2009/235, International Monetary Fund.
    32. James A. Berkovec & John L. Goodman, 1996. "Turnover as a Measure of Demand for Existing Homes," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 24(4), pages 421-440, December.
    33. McQuinn, Kieran & O' Reilly, Gerard, 2007. "A Model of Cross-Country House Prices," Research Technical Papers 5/RT/07, Central Bank of Ireland.
    34. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    35. Matteo Iacoviello, 2002. "House Prices and Business Cycles in Europe: a VAR Analysis," Boston College Working Papers in Economics 540, Boston College Department of Economics.
    36. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diego Vílchez, 2015. "Assessing the House Price Dynamics in Lima," IHEID Working Papers 09-2015, Economics Section, The Graduate Institute of International Studies.
    2. Deng, Yongheng & Girardin, Eric & Joyeux, Roselyne, 2018. "Fundamentals and the volatility of real estate prices in China: A sequential modelling strategy," China Economic Review, Elsevier, vol. 48(C), pages 205-222.
    3. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    4. Sun, Xiaojin & Tsang, Kwok Ping, 2019. "Large price movements in housing markets," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 1-23.
    5. Oikarinen, Elias, 2009. "Household borrowing and metropolitan housing price dynamics - Empirical evidence from Helsinki," Journal of Housing Economics, Elsevier, vol. 18(2), pages 126-139, June.
    6. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2010. "Unit Roots and Structural Change: An Application to US House-Price Indices," Working papers 2010-04, University of Connecticut, Department of Economics, revised Dec 2010.
    7. François Ortalo-Magné & Sven Rady, 2006. "Housing Market Dynamics: On the Contribution of Income Shocks and Credit Constraints ," Review of Economic Studies, Oxford University Press, vol. 73(2), pages 459-485.
    8. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    9. Markus K. Brunnermeier & Christian Julliard, 2008. "Money Illusion and Housing Frenzies," Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 135-180, January.
    10. Paul E. Carrillo & Eric R. Wit & William Larson, 2015. "Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the United States and the Netherlands," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(3), pages 609-651, September.
    11. Alqaralleh, Huthaifa & Canepa, Alessandra, 2020. "Housing market cycles in large urban areas," Economic Modelling, Elsevier, vol. 92(C), pages 257-267.
    12. Eli Beracha & Hilla Skiba, 2013. "Findings from a Cross-Sectional Housing Risk-Factor Model," The Journal of Real Estate Finance and Economics, Springer, vol. 47(2), pages 289-309, August.
    13. Chien-Chiang Lee & Chin-Yu Wang & Jhih-Hong Zeng, 2017. "Housing price–volume correlations and boom–bust cycles," Empirical Economics, Springer, vol. 52(4), pages 1423-1450, June.
    14. Yuval Arbel & Danny Ben-Shahar & Eyal Sulganik, 2009. "Mean Reversion and Momentum: Another Look at the Price-Volume Correlation in the Real Estate Market," The Journal of Real Estate Finance and Economics, Springer, vol. 39(3), pages 316-335, October.
    15. Ren, Yu & Xiong, Cong & Yuan, Yufei, 2012. "House price bubbles in China," China Economic Review, Elsevier, vol. 23(4), pages 786-800.
    16. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.
    17. Gattini, Luca & Hiebert, Paul, 2010. "Forecasting and assessing Euro area house prices through the lens of key fundamentals," Working Paper Series 1249, European Central Bank.
    18. John V. Duca & John Muellbauer & Anthony Murphy, 2011. "House Prices and Credit Constraints: Making Sense of the US Experience," Economic Journal, Royal Economic Society, vol. 121(552), pages 533-551, May.
    19. Luis A. Gil-Alana & Rangan Gupta & Fernando Perez de Gracia, 2016. "Persistence, mean reversion and non-linearities in the US housing prices over 1830--2013," Applied Economics, Taylor & Francis Journals, vol. 48(34), pages 3244-3252, July.
    20. Dieci, Roberto & Westerhoff, Frank, 2016. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear economic dynamics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 21-44.

    More about this item

    Keywords

    Precios inmobiliarios; Índices hedónicos; Vectores autoregresivos;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rbp:wpaper:2015-013. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/bcrgvpe.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Research Unit (email available below). General contact details of provider: https://edirc.repec.org/data/bcrgvpe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.