IDEAS home Printed from https://ideas.repec.org/a/uwp/landec/v94y2018i2p206-219.html
   My bibliography  Save this article

On the Determinants of Transaction Frequency of Institutional Commercial Timberland Properties in the United States

Author

Listed:
  • Bin Mei

Abstract

Using property-level data (1987Q1–2015Q4) from the National Council of Real Estate Investment Fiduciaries, this study examines the determinants of transaction frequency of institutional commercial timberland properties in the United States. Controlling for both macro- and microlevel factors in a logit regression, the overall financial return of the timberland market, the discrepancy between anticipated sale price and last appraisal value, the superior performance of individual timberland properties over the market average, and geographic locations are found to significantly influence timberland transaction frequency. Aggregate market outlook and growth rate of the national economy are also found to have material impacts on the likelihood of timberland sales.

Suggested Citation

  • Bin Mei, 2018. "On the Determinants of Transaction Frequency of Institutional Commercial Timberland Properties in the United States," Land Economics, University of Wisconsin Press, vol. 94(2), pages 206-219.
    • Handle: RePEc:uwp:landec:v:94:y:2018:i:2:p:206-219
    Note: DOI: 10.3368/le.94.2.206
    as

    Download full text from publisher

    File URL: http://le.uwpress.org/cgi/reprint/94/2/206
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Marlene Kionka & Martin Odening & Jana Plogmann & Matthias Ritter, 2021. "Measuring liquidity in agricultural land markets," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 82(4), pages 690-713, September.
    2. Plogmann, Jana & Mußhoff, Oliver & Odening, Martin & Ritter, Matthias, 2022. "Farmland sales under returns and price uncertainty," Economic Modelling, Elsevier, vol. 117(C).

    More about this item

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

    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:uwp:landec:v:94:y:2018:i:2:p:206-219. 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: the person in charge (email available below). General contact details of provider: http://le.uwpress.org/ .

    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.