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Can mortgage applications help predict home sales?

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  • John V. Duca

Abstract

In this article, John Duca finds that the Mortgage Bankers Association (MBA) index of home mortgage applications can help forecast home sales. Alone, the index is a good, albeit imperfect, predictor of total home sales. But when included along with housing affordability and real, after-tax mortgage rate data, the index does not add extra information if one disregards differences in data release lags. ; The index is available roughly three to four weeks ahead of the two alternative indicators. Taking into account its greater timeliness, it provides some extra information on home sales beyond that in the two other indicators considered. Given this qualification, the MBA index can help predict overall home sales. In addition, the long-run equilibrium relationships suggest that its usefulness may increase in the future. Nevertheless, the index should be used cautiously. It is still relatively new, and evidence suggests it may be misleading under some circumstances.

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File URL: http://www.dallasfed.org/assets/documents/research/er/1996/er9604c.pdf
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Bibliographic Info

Article provided by Federal Reserve Bank of Dallas in its journal Economic and Financial Policy Review.

Volume (Year): (1996)
Issue (Month): Q IV ()
Pages: 21-30

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Handle: RePEc:fip:fedder:y:1996:i:qiv:p:21-30

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Keywords: Housing ; Mortgages;

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  1. John L. Goodman, 1987. "Housing and the Weather," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 15(1), pages 638-663.
  2. James H. Stock & Mark W. Watson, 1991. "A simple estimator of cointegrating vectors in higher order integrated systems," Working Paper Series, Macroeconomic Issues 91-3, Federal Reserve Bank of Chicago.
  3. Eileen Mauskopf & Jeffrey Fuhrer & Peter Tinsley, 1990. "The transmission channels of monetary policy: how have they changed?," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Dec, pages 985-1008.
  4. Duca, John V., 1996. "Deposit Deregulation and the Sensitivity of Housing," Journal of Housing Economics, Elsevier, vol. 5(3), pages 207-226, September.
  5. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
  6. George A. Kahn, 1989. "The changing interest sensitivity of the U.S. economy," Economic Review, Federal Reserve Bank of Kansas City, issue Nov, pages 13-34.
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