IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Differences in housing price forecastability across US states

  • Rapach, David E.
  • Strauss, Jack K.

Given the marked differences in housing price growth across USregions since the mid-1990s, we investigate forecasts of state-level real housing price growth for 1995-2006. We evaluate forecasts from an autoregressive benchmark model as well as models based on a host of state, regional, and national economic variables. Overall, our results highlight important differences in the forecastability of real housing price growth across USstates, especially between interior and coastal states. More specifically, we find that autoregressive models, and especially models that incorporate information from numerous economic variables, often provide relatively accurate housing price forecasts for a number of interior states during the period 1995-2006; all forecasting models, however, tend to perform relatively poorly for a group of primarily coastal states that experienced especially strong housing price growth during this period, pointing to a "disconnect" between housing prices and economic fundamentals for these states.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B6V92-4VNCBV3-3/2/96df7869e64650d081980510e7a56392
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 25 (2009)
Issue (Month): 2 ()
Pages: 351-372

as
in new window

Handle: RePEc:eee:intfor:v:25:y:2009:i:2:p:351-372
Contact details of provider: Web page: http://www.elsevier.com/locate/ijforecast

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Refet S. Gürkaynak, 2008. "Econometric Tests Of Asset Price Bubbles: Taking Stock ," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 166-186, 02.
  2. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
  3. Marco Aiolfi & Carlos Capistrán & Allan Timmermann, 2010. "Forecast Combinations," Working Papers 2010-04, Banco de México.
  4. Alan Greenspan & James Kennedy, 2005. "Estimates of home mortgage originations, repayments, and debt on one-to-four-family residences," Finance and Economics Discussion Series 2005-41, Board of Governors of the Federal Reserve System (U.S.).
  5. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, 07.
  6. Peter Pedroni, 2004. "Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis," Department of Economics Working Papers 2004-15, Department of Economics, Williams College.
  7. James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
  8. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
  9. 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.
  10. Edward E. Leamer, 2007. "Housing is the business cycle," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 149-233.
  11. Mark W. Watson & James H. Stock, 2004. "Combination forecasts of output growth in a seven-country data set," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 405-430.
  12. Aiolfi, Marco & Timmermann, Allan, 2006. "Persistence in forecasting performance and conditional combination strategies," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 31-53.
  13. Patric H. Hendershott & John C. Weicher, 2002. "Forecasting Housing Markets: Lessons Learned," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(1), pages 1-11.
  14. Glaeser, Edward L & Gyourko, Joseph & Saks, Raven, 2005. "Why Is Manhattan So Expensive? Regulation and the Rise in Housing Prices," Journal of Law and Economics, University of Chicago Press, vol. 48(2), pages 331-69, October.
  15. John M. Quigley & Steven Raphael, 2005. "Regulation and the High Cost of Housing in California," American Economic Review, American Economic Association, vol. 95(2), pages 323-328, May.
  16. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing high house prices: bubbles, fundamentals, and misperceptions," Staff Reports 218, Federal Reserve Bank of New York.
  17. David E. Rapach & Jack K. Strauss, 2008. "Forecasting US employment growth using forecast combining methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 75-93.
  18. N. Gregory Mankiw & David N. Weil, 1988. "The Baby Boom, The Baby Bust, and the Housing Market," NBER Working Papers 2794, National Bureau of Economic Research, Inc.
  19. David Hendry & Michael P. Clements, 2001. "Pooling of Forecasts," Economics Papers 2002-W9, Economics Group, Nuffield College, University of Oxford.
  20. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Department of Economics Working Papers 2000-02, Department of Economics, Williams College.
  21. Clements, Michael P. & Hendry, David F., 2006. "Forecasting with Breaks," Handbook of Economic Forecasting, Elsevier.
  22. Thomas Hyclak & Geraint Johnes, 1999. "original: House prices and regional labor markets," The Annals of Regional Science, Springer, vol. 33(1), pages 33-49.
  23. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-52, Special I.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:intfor:v:25:y:2009:i:2:p:351-372. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.