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The demand for new housing in Turkey: an application of ARDL model

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  • Ferda Halicioglu

Abstract

This study provides empirical estimates for new residential homes demand function in Turkey using the time series data for the period 1964–2004. An aggregate demand function for new private dwellings in Turkey is formed and is estimated using bounds testing cointegration procedure proposed by Pesaran et al. (2001) to compute the short and long-run elasticities of income and price variables. This study also implements Cumulative Sum (CUSUM) and Cumulative Sum of the Squares (CUSUMSQ) stability tests on the estimated new housing demand function. The empirical results indicate that income is the most significant variable in explaining the demand for new housing in Turkey and there exists a relatively stable new housing demand function.

Suggested Citation

  • Ferda Halicioglu, 2007. "The demand for new housing in Turkey: an application of ARDL model," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 9(1), pages 62-74.
  • Handle: RePEc:ids:gbusec:v:9:y:2007:i:1:p:62-74
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    References listed on IDEAS

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    1. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," Review of Economic Studies, Oxford University Press, vol. 57(1), pages 99-125.
    2. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    3. Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
    4. Borsch-Supan, Axel & Heiss, Florian & Seko, Miki, 2001. "Housing Demand in Germany and Japan," Journal of Housing Economics, Elsevier, vol. 10(3), pages 229-252, September.
    5. Malpezzi, Stephen & Mayo, Stephen K, 1987. "The Demand for Housing in Developing Countries: Empirical Estimates from Household Data," Economic Development and Cultural Change, University of Chicago Press, vol. 35(4), pages 687-721, July.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    7. Mayo, Stephen K., 1981. "Theory and estimation in the economics of housing demand," Journal of Urban Economics, Elsevier, vol. 10(1), pages 95-116, July.
    8. Polinsky, A Mitchell, 1977. "The Demand for Housing: A Study in Specification and Grouping," Econometrica, Econometric Society, vol. 45(2), pages 447-461, March.
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    Cited by:

    1. Olusegun A. Omisakin & Oluwatosin A. Adeniyi & Abimbola M. Oyinlola, 2012. "Structural Breaks, Parameter Stability and Energy Demand Modeling in Nigeria," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Eastern Macedonia and Thrace Institute of Technology (EMATTECH), Kavala, Greece, vol. 5(2), pages 129-144, August.
    2. Ferda, HALICIOGLU & Kasim, EREN, 2013. "Testing Twin Deficits and Saving-Investment Nexus in Turkey," MPRA Paper 50098, University Library of Munich, Germany.
    3. Coskun, Yener, 2010. "An Analysis of the Strenghts and Weaknesses of the Turkish Real Estate Market," MPRA Paper 28361, University Library of Munich, Germany.
    4. Fontenla, Matas & Gonzalez, Fidel, 2009. "Housing demand in Mexico," Journal of Housing Economics, Elsevier, vol. 18(1), pages 1-12, March.
    5. Ferda Halicioglu, 2013. "Dynamics of obesity in Finland," Journal of Economic Studies, Emerald Group Publishing, vol. 40(5), pages 644-657, October.

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