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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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    Cited by:

    1. W. Miles, 2008. "Boom–Bust Cycles and the Forecasting Performance of Linear and Non-Linear Models of House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 36(3), pages 249-264, April.
    2. 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.
    3. 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.
    4. Philip Arestis & Ana Rosa González-Martínez, 2015. "Residential Construction Activity in OECD Economies," Manchester School, University of Manchester, vol. 83(4), pages 451-474, July.
    5. repec:erh:journl:v:6:y:2014:i:1:p:1-23 is not listed on IDEAS
    6. Tsai, I-Chun, 2019. "Dynamic price–volume causality in the American housing market: A signal of market conditions," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 385-400.
    7. Song Shi & Martin Young & Bob Hargreaves, 2010. "House Price-Volume Dynamics: Evidence from 12 Cities in New Zealand," Journal of Real Estate Research, American Real Estate Society, vol. 32(1), pages 75-100.
    8. 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.
    9. Changrong Deng & Yongkai Ma & Yao-Min Chiang, 2009. "The Dynamic Behavior of Chinese Housing Prices," International Real Estate Review, Global Social Science Institute, vol. 12(2), pages 121-134.
    10. 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).
    11. Jan Voltaire Vergara & Maria Y Rodriguez & Jonathan Phillips & Ehren Dohler & Melissa L Villodas & Amy Blank Wilson & Kenneth Joseph, 2024. "An evaluation framework for predictive models of neighbourhood change with applications to predicting residential sales in Buffalo, NY," Urban Studies, Urban Studies Journal Limited, vol. 61(5), pages 838-858, April.
    12. 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.

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    JEL classification:

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

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