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Forecasting Sales and Price for Existing Single-Family Homes: A VAR Model with Error Correction

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Abstract

In this paper we forecast demand for existing single-family housing in the United States. We first find that sales volume (sales) and median sales price (price) have unit roots. We then find that sales and price are cointegrated. We develop a vector autoregressive (VAR) model with error correction to further examine the causality between sales and price. We find that there exists a bidirectional causality relationship between sales and price. Price affects sales significantly and sales affects price weakly. With the VAR model we then forecast sales and price for existing single-family housing during the period 1991 to 1994 by using a recursive method. We find that our predictions for sales and price fit the actual data well.

Suggested Citation

  • Zhong-guo Zhou, 1997. "Forecasting Sales and Price for Existing Single-Family Homes: A VAR Model with Error Correction," Journal of Real Estate Research, American Real Estate Society, vol. 14(2), pages 155-168.
  • Handle: RePEc:jre:issued:v:14:n:2:1997:p:155-168
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    1. 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.
    2. 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.
    3. Phillips, P.C.B., 1986. "Understanding spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 33(3), pages 311-340, December.
    4. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    5. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    6. Paul R. Goebel & Christopher K. Ma, 1993. "The Integration of Mortgage Markets and Capital Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 21(4), pages 511-538.
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    Cited by:

    1. Changrong Deng & Yongkai Ma & Yao-Min Chiang, 2009. "The Dynamic Behavior of Chinese Housing Prices," International Real Estate Review, Asian Real Estate Society, vol. 12(2), pages 121-134.
    2. Chien-Wen Peng & I-Chun Tsai & Wey-Wen Wu, 2011. "Price and Volume Relationship under Housing Presale System," ERES eres2011_106, European Real Estate Society (ERES).
    3. Tsai, I-Chun & Peng, Chien-Wen, 2016. "Linear and nonlinear dynamic relationships between housing prices and trading volumes," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 172-184.
    4. repec:spr:empeco:v:52:y:2017:i:4:d:10.1007_s00181-016-1101-9 is not listed on IDEAS
    5. Mahua Barari & Nityananda Sarkar & Srikanta Kundu & Kushal Banik Chowdhury, 2014. "Forecasting House Prices in the United States with Multiple Structural Breaks," International Econometric Review (IER), Econometric Research Association, vol. 6(1), pages 1-23, April.
    6. Andre H. Gao & George H. K. Wang, 2007. "Multiple Transactions Model: A Panel Data Approach to Estimate Housing Market Indices," Journal of Real Estate Research, American Real Estate Society, vol. 29(3), pages 241-266.
    7. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, Elsevier.

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    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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