Determination of the Factors That Affect House Prices in Turkey by Using Hedonic Pricing Model

Determination of the Factors That Affect House Prices in Turkey by Using Hedonic Pricing Model

The primary purpose of this paper is to analyze the marginal effects of various features of the houses on the prices to observe the price changes in the Turkish housing market which follows a heterogeneous pattern. As the second concern, it is aimed to declare the results and additionally to define Turkish housing market and its submarkets which affect the market itself and to calculate the pure price changes of the houses with constant features. Hedonic pricing model is applied on the data obtained via the house price index study performed at the Central Bank of Turkey. For the period between December 2010 and June 2012, under the constant housing features, hedonic price indexes are calculated as 6.21% for Turkey, 5.93% for İstanbul, and 5.05% and 2.83% for Ankara and İzmir respectively.

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  •  Aizcorbe, A. and Pho Y., (2005). Differences in Hedonic and Matched-Model Price Indexes: Do the Weights Matter? BEA Working Paper, WP2005-2006, http://www.bea.gov/bea/papers/ hedonicprice.pdf
  • Aoki, K., Proudman, J. and Vlieghe, G., (2004), House Prices, Consumption, and Monetary Policy: a Financial Accelerator Approach, Journal of Financial
  • Intermediation, Elsevier, Vol. 13, Issue 4, p. 414 – 435.  Eurostat (December 2011), Handbook on Residential Property Prices Indices.  Goodman, A. C. (1978), Hedonic Prices, Price Indices and Housing Markets, Journal of Urban Economics, Vol.5, p.471 - 484.
  •  Haas, G. C. (1922), Sales Prices as a Basis for Farm Land Appraisal. Technical Bulletin No. 9, St. Paul, The University of Minnesota Agricultural Experiment Station.
  •  Kain, J. F. and Quigley, J. M., (1970), Measuring the Value of House Quality, Journal of the American Statistic-al Association Vol.65, Issue 330, p.532 - 548.  Kim, S., (1992), Hedonic Prices and Housing Demand, The Review of Economics and Statistics, Vol. 74, Issue 3, p.503 - 508.
  •  Lancaster, K. (1966), Consumer Demand: A New Approach, The American Economic Review, Vol.65, p.194 - 199.
  •  Nair, B. P. (2004), Use of Hedonic Regression Methods for Quality Adjustments in Statistics Nz. Inflation Measures Division, Statistics New Zealand.
  •  Straszheim, M. R., (1973), Estimation of the Demand for Urban Housing Services from Household Interview Data, Review of Economics and Statistics, Vol.55, p.1
  •  Palmqnist, Raymond, B. (1984), Estimating the Demand for the Characteristics of Housing, Review of Economics and Statistics, Vol. 66, p.394 - 404.
  •  Ridker, Ronald G. and Henning, John, A. (1967 May), The Determinants of Residential Property Values with Special Reference to Air Pollution, Review of Economics and Statistics, Vol.49, p. 246 - 257.
  •  Rosen, S. (1974), Hedonic Prices And Implicit Markets: Product Differentiation in Pure Competition, The Journal of Political Economy, Vol. 82, Issue 1, p.34 - 55.  Triplett, J. E. (2006), Handbook on Hedonic Indexes and Quality Adjustments in Price Indexes: Special Application to Information Technology Products, OECD STI Working Paper.
  • Vor, F., Groot, H. L. F., (2009), The Impact of Industrial Sites on Residential
  • Property Values: A Hedonic Pricing Analysis for The Netherlands, Tinbergen Institute Discussion Paper 09-035/3.  Vries, P., Haan J., Wal, E. V. D. and Mariën, G. (2009), A House Price Index Based on the Spar Method, Journal of Housing Economics, Vol.18, p.214 - 223.
  •  Widłak, M., Tomczyk, E., (2010), Measuring Price Dynamics: Evidence from the Warsaw Housing Market, Journal of European Real Estate Research, Vol. 3, Issue: 3, p.203 – 227.