IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/10147.html
   My bibliography  Save this article

Space-Time Modeling of Timber Prices

Author

Listed:
  • Zhou, Mo
  • Buongiorno, Joseph

Abstract

A space-time econometric model was developed for pine sawtimber timber prices of 21 geographically contiguous regions in the southern United States. The correlations between prices in neighboring regions helped predict future prices. The impulse response analysis showed that although southern pine sawtimber markets were not globally integrated, local supply and demand shocks did transmit partially to immediate neighboring regions, and could also have weaker effects in more distant regions.

Suggested Citation

  • Zhou, Mo & Buongiorno, Joseph, 2006. "Space-Time Modeling of Timber Prices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(1), pages 1-17, April.
    • Handle: RePEc:ags:jlaare:10147
    DOI: 10.22004/ag.econ.10147
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/10147/files/31010040.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.10147?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aleksandra Górna & Alicja Szabelska-Beręsewicz & Marek Wieruszewski & Monika Starosta-Grala & Zygmunt Stanula & Anna Kożuch & Krzysztof Adamowicz, 2023. "Predicting Post-Production Biomass Prices," Energies, MDPI, vol. 16(8), pages 1-16, April.
    2. Adriana Piazza & Bernardo Pagnoncelli, 2015. "The stochastic Mitra–Wan forestry model: risk neutral and risk averse cases," Journal of Economics, Springer, vol. 115(2), pages 175-194, June.
    3. Asada, Raphael & Hurmekoski, Elias & Hoeben, Annechien Dirkje & Patacca, Marco & Stern, Tobias & Toppinen, Anne, 2023. "Resilient forest-based value chains? Econometric analysis of roundwood prices in five European countries in the era of natural disturbances," Forest Policy and Economics, Elsevier, vol. 153(C).
    4. Yu, Zhihan & Ning, Zhuo & Chang, Wei-Yew & Chang, Sun Joseph & Yang, Hongqiang, 2023. "Optimal harvest decisions for the management of carbon sequestration forests under price uncertainty and risk preferences," Forest Policy and Economics, Elsevier, vol. 151(C).
    5. Fuchs, Jasper M. & v. Bodelschwingh, Hilmar & Lange, Alexander & Paul, Carola & Husmann, Kai, 2022. "Quantifying the consequences of disturbances on wood revenues with Impulse Response Functions," Forest Policy and Economics, Elsevier, vol. 140(C).
    6. Lamichhane, Sabhyata & Mei, Bin & Siry, Jacek, 2023. "Forecasting pine sawtimber stumpage prices: A comparison between a time series hybrid model and an artificial neural network," Forest Policy and Economics, Elsevier, vol. 154(C).
    7. Korhonen, Jaana & Henderson, Jesse D. & Prestemon, Jeffrey, 2023. "National forest timber bids and export price interlinkages in the USA: The bounds testing approach," Forest Policy and Economics, Elsevier, vol. 152(C).
    8. Yang, Yang & Zhang, Honglei, 2019. "Spatial-temporal forecasting of tourism demand," Annals of Tourism Research, Elsevier, vol. 75(C), pages 106-119.
    9. Banaś, Jan & Šafařík, Dalibor & Utnik-Banaś, Katarzyna & Hlaváčková, Petra, 2022. "Identifying long-run and short-run relationships in the European Union softwood market," Forest Policy and Economics, Elsevier, vol. 143(C).

    More about this item

    Keywords

    Demand and Price Analysis;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:jlaare:10147. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/waeaaea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.