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Regional Housing Price Cycles: A Spatio-Temporal Analysis Using Us State Level

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  • Todd H. Kuethe

    ()
    (Department of Agricultural Economics, Purdue University)

  • Valerien Pede

    ()
    (Department of Agricultural Economics, Purdue University)

Abstract

We present a study of the effects of macroeconomic shocks on housing prices in the Western United States using quarterly state level data from 1988:1 – 2007:4. The study contributes to the existing literature by explicitly incorporating locational spillovers through a spatial econometric adaptation of vector autoregression (SpVAR). The results suggest these spillovers may Granger cause housing price movements in a large number of cases. SpVAR provides additional insights through impulse response functions that demonstrate the effects of macroeconomic events in different neighboring locations. In addition, we demonstrate that including spatial information leads to significantly lower mean square forecast errors.

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Bibliographic Info

Paper provided by Purdue University, College of Agriculture, Department of Agricultural Economics in its series Working Papers with number 09-04.

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Date of creation: 2009
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Handle: RePEc:pae:wpaper:09-04

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Keywords: Housing prices; VAR; spatial econometrics;

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References

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  1. Ramazan Sari & Bradley T. Ewing & Bahadir Aydin, 2007. "Macroeconomic Variables and the Housing Market in Turkey," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 43(5), pages 5-19, October.
  2. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
  3. Baffoe-Bonnie, John, 1998. "The Dynamic Impact of Macroeconomic Aggregates on Housing Prices and Stock of Houses: A National and Regional Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 17(2), pages 179-97, September.
  4. Di Giacinto, Valter, 2002. "Differential regional effects of monetary policy: a geographical SVAR approach," ERSA conference papers ersa02p257, European Regional Science Association.
  5. Pan, Zheng & LeSage, James P., 1995. "Using spatial contiguity as prior information in vector autoregressive models," Economics Letters, Elsevier, vol. 47(2), pages 137-142, February.
  6. James McGibany & Farrokh Nourzad, 2004. "Do lower mortgage rates mean higher housing prices?," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 305-313.
  7. Norman Miller & Liang Peng, 2006. "Exploring Metropolitan Housing Price Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 33(1), pages 5-18, August.
  8. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  9. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-44, January.
  10. Jan Willem van den End & Jan Kakes, 2002. "De samenhang tussen beurskoersen en huizenprijzen," MEB Series (discontinued) 2002-17, Netherlands Central Bank, Monetary and Economic Policy Department.
  11. Joshua Gallin, 2006. "The Long-Run Relationship between House Prices and Income: Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(3), pages 417-438, 09.
  12. N. Apergis & A. Rezitis, 2003. "Housing prices and macroeconomic factors in Greece: prospects within the EMU," Applied Economics Letters, Taylor & Francis Journals, vol. 10(12), pages 799-804.
  13. Michael Beenstock & Daniel Felsenstein, 2007. "Spatial Vector Autoregressions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(2), pages 167-196.
  14. Im, K.S. & Pesaran, M.H., 2003. "On The Panel Unit Root Tests Using Nonlinear Instrumental Variables," Cambridge Working Papers in Economics 0347, Faculty of Economics, University of Cambridge.
  15. Carlos Vargas-Silva, 2008. "The effect of monetary policy on housing: a factor-augmented vector autoregression (FAVAR) approach," Applied Economics Letters, Taylor & Francis Journals, vol. 15(10), pages 749-752.
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Cited by:
  1. Matías Mayor & Roberto Patuelli, 2012. "Short-Run Regional Forecasts: Spatial Models through Varying Cross-Sectional and Temporal Dimensions," Working Paper Series 15_12, The Rimini Centre for Economic Analysis, revised Oct 2012.
  2. Rangan Gupta & Stephen M. Miller, 2009. ""Ripple Effects” and Forecasting Home Prices in Los Angeles, Las Vegas, and Phoenix," Working Papers 0902, University of Nevada, Las Vegas , Department of Economics.
  3. Maria Christidou & Panagiotis Konstantinou, 2011. "Housing Market and the Transmission of Monetary Policy: Evidence from U.S. States," Discussion Paper Series 2011_14, Department of Economics, University of Macedonia, revised Sep 2011.
  4. Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2011. "Investigating Regional House Price Convergence in the United States: Evidence from a Pair-Wise Approach," Working Paper Series 29_11, The Rimini Centre for Economic Analysis.
  5. Julian Ramajo & Miguel A. Marquez & Geoffrey J.D. Hewings, 2013. "Spatio-temporal Analysis of Regional Systems: A Multiregional Spatial Vector Autoregressive Model for Spain," ERSA conference papers ersa13p159, European Regional Science Association.
  6. Katharina Pijnenburg, 2013. "The Spatial Dimension of US House Price Developments," Discussion Papers of DIW Berlin 1270, DIW Berlin, German Institute for Economic Research.

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