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Real price appreciation forecast tool: Two delivered log market price cycles in the Puget Sound markets of western Washington, USA, from 1992 through 2019

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  • Schlosser, William E.

Abstract

Delivered log prices represent stochastic values exchanged in competitive marketplaces, responsive to unfolding macroeconomic forces operating through shifts in supply and demand. Major market disruption events, experienced as price appreciation or devaluation, shape into predictable cycles to balance at market price equilibrium.

Suggested Citation

  • Schlosser, William E., 2020. "Real price appreciation forecast tool: Two delivered log market price cycles in the Puget Sound markets of western Washington, USA, from 1992 through 2019," Forest Policy and Economics, Elsevier, vol. 113(C).
    • Handle: RePEc:eee:forpol:v:113:y:2020:i:c:s1389934119303624
    DOI: 10.1016/j.forpol.2020.102114
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    1. Stephanie Rosenkranz & Patrick W. Schmitz, 2007. "Reserve Prices in Auctions as Reference Points," Economic Journal, Royal Economic Society, vol. 117(520), pages 637-653, April.
    2. Guidolin, Massimo & Ono, Sadayuki, 2006. "Are the dynamic linkages between the macroeconomy and asset prices time-varying?," Journal of Economics and Business, Elsevier, vol. 58(5-6), pages 480-518.
    3. Lane, Tom, 2017. "How does happiness relate to economic behaviour? A review of the literature," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 68(C), pages 62-78.
    4. Imre Kondor & István Csabai & Gábor Papp & Enys Mones & Gábor Czimbalmos & Máté Sándor, 2014. "Strong random correlations in networks of heterogeneous agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 203-232, October.
    5. Harvey,Andrew C., 1991. "Forecasting, Structural Time Series Models and the Kalman Filter," Cambridge Books, Cambridge University Press, number 9780521405737.
    6. S. Manzan, 2004. "Nonlinear Mean Reversion in Stock Prices," Computing in Economics and Finance 2004 264, Society for Computational Economics.
    7. Moosa, Imad & Burns, Kelly, 2014. "The unbeatable random walk in exchange rate forecasting: Reality or myth?," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 69-81.
    8. J. R. Hicks, 1963. "The Theory of Wages," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-00189-7.
    9. Zellner, A., 1992. "Statistics, Science and Public Policy," Papers 92-21, California Irvine - School of Social Sciences.
    10. Richard Heaney, 2006. "An empirical analysis of commodity pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(4), pages 391-415, April.
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    Cited by:

    1. Reimer, Jeffrey J., 2021. "An investigation of log prices in the U.S. Pacific Northwest," Forest Policy and Economics, Elsevier, vol. 126(C).

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