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The price of Moscow apartments

Author

Listed:
  • Magnus, Jan

    (Department of Econometrics and Operations Research, Tilburg University)

  • Peresetsky, Anatoly

    (Higher School of Economics, CEMI RAS and NES, Moscow, Russia)

Abstract

We present a simple hedonic model for apartment prices in Moscow in the year 2003. Based on some 15,000 observations we estimate the model and use the estimates for prediction. Pretest issues are explicitly taken into account.

Suggested Citation

  • Magnus, Jan & Peresetsky, Anatoly, 2010. "The price of Moscow apartments," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 17(1), pages 89-105.
  • Handle: RePEc:ris:apltrx:0001
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    References listed on IDEAS

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    1. Dmitry Danilov, 2005. "Estimation of the mean of a univariate normal distribution when the variance is not known," Econometrics Journal, Royal Economic Society, vol. 8(3), pages 277-291, December.
    2. Mills, Edwin S. & Simenauer, Ronald, 1996. "New Hedonic Estimates of Regional Constant Quality House Prices," Journal of Urban Economics, Elsevier, vol. 39(2), pages 209-215, March.
    3. Alfons Oude Lansink & Geert Thijssen, 1998. "Testing among functional forms: an extension of the Generalized Box-Cox formulation," Applied Economics, Taylor & Francis Journals, vol. 30(8), pages 1001-1010.
    4. J. Walter Milon & Jonathan Gressel & David Mulkey, 1984. "Hedonic Amenity Valuation and Functional Form Specification," Land Economics, University of Wisconsin Press, vol. 60(4), pages 378-387.
    5. Jan R. Magnus & J. Durbin, 1999. "Estimation of Regression Coefficients of Interest When Other Regression Coefficients Are of No Interest," Econometrica, Econometric Society, vol. 67(3), pages 639-644, May.
    6. Witte, Ann D & Sumka, Howard J & Erekson, Homer, 1979. "An Estimate of a Structural Hedonic Price Model of the Housing Market: An Application of Rosen's Theory of Implicit Markets," Econometrica, Econometric Society, vol. 47(5), pages 1151-1173, September.
    7. 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..
    8. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    9. Jan R. Magnus & Dmitry Danilov, 2004. "Forecast accuracy after pretesting with an application to the stock market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(4), pages 251-274.
    10. Danilov, Dmitry & Magnus, J.R.Jan R., 2004. "On the harm that ignoring pretesting can cause," Journal of Econometrics, Elsevier, vol. 122(1), pages 27-46, September.
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    Citations

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    Cited by:

    1. Ignatenko, Anna (Игнатенко, Анна) & Mikhailova, Tatiana (Михайлова, Татьяна), 2015. "Pricing in the office rental market in Moscow: hedonic analysis [Ценообразование На Рынке Аренды Офисной Недвижимости Москвы: Гедонический Анализ]," Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 156-177.
    2. Sidorovykh, Aleksandra, 2015. "Estimation of effects of transport accessibility on housing prices," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 37(1), pages 43-56.
    3. Katyshev, Pavel & Khakimova, Yulia, 2012. "Ecological factors and the price of Moscow apartments," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 113-123.

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    More about this item

    Keywords

    Hedonic prices; Moscow; pretesting;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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