The stochastic implications of rent maximization: an application to stumpage rates for timber in British Columbia
M. Ryan Haley and
Harry Paarsch
Additional contact information
M. Ryan Haley: University of Iowa, USA, Postal: University of Iowa, USA
Journal of Applied Econometrics, 2004, vol. 19, issue 1, 25-48
Abstract:
We construct a model of rent-maximizing behaviour by a single seller of timber in the absence of a formal market, deriving the stochastic implications of rent maximization for timber prices (stumpage rates) when other input and output (lumber) prices are random. Subsequently, we examine the model's ability to describe monthly, time-series, stumpage-rate data from British Columbia, Canada between January 1979 and October 1999. Deviations of stumpage rates from their long-run trend are also structured by an error-correction model which suggests that between 13 and 20% of period-to-period changes in stumpage rates can be explained by an equilibrium adjustment term. Copyright © 2004 John Wiley & Sons, Ltd.
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1002/jae.730 Link to full text; subscription required (text/html)
http://qed.econ.queensu.ca:80/jae/2004-v19.1/ Supporting data files and programs (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jae:japmet:v:19:y:2004:i:1:p:25-48
Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252
DOI: 10.1002/jae.730
Access Statistics for this article
Journal of Applied Econometrics is currently edited by M. Hashem Pesaran
More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().