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Anticipating Change in Development Activity Levels

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Abstract

This study demonstrates how cointegration analysis of privately-owned housing within disparate areas of the United States can aid developers in anticipating changes in the level of market activity. The study analyzes change in the number of housing units within four geographic regions: the Northeast, the Midwest, the South and the West. Whereas most studies of regional variation in real estate activity have focused on short-run analysis, this research extends the examination to consider the impact of exogenous variables over a longer time frame. The study uses Citibase data from 1959 through 1995. Results indicate that the four regions move together in the long run and are driven by one common factor, but that change in the South and the West lead those in the other two regions. Results have widespread policy implications for residential and commercial developers nationwide, because change within the dominant areas may serve as indicators of developing change elsewhere.

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  • Yiuman Tse & Emily Norman Zietz & Gaylon Greer, 1998. "Anticipating Change in Development Activity Levels," Journal of Real Estate Research, American Real Estate Society, vol. 16(2), pages 159-168.
  • Handle: RePEc:jre:issued:v:16:n:2:1998:p:159-168
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    References listed on IDEAS

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    1. John M. Clapp & Walter Dolde & Dogan Tirtiroglu, 1995. "Imperfect Information and Investor Inferences From Housing Price Dynamics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 23(3), pages 239-269.
    2. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    3. Barton A. Smith & William P. Tesarek, 1991. "House Prices and Regional Real Estate Cycles: Market Adjustments in Houston," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(3), pages 396-416.
    4. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    5. Lee, Tae-Hwy & Tse, Yiuman, 1996. "Cointegration tests with conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 73(2), pages 401-410, August.
    6. Turnbull, Geoffrey K., 1994. "Housing demand properties in the monocentric market form," Regional Science and Urban Economics, Elsevier, vol. 24(2), pages 253-263, April.
    7. Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-328, August.
    8. Piet M.A. Eichholtz, 1995. "Regional Economic Stability and Mortgage Default Risk in the Netherlands," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 23(4), pages 421-439.
    9. Gonzalo, Jesus, 1994. "Five alternative methods of estimating long-run equilibrium relationships," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 203-233.
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    JEL classification:

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

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