Stumpage Prices in Sweden 1909-2011: Testing for Non-Stationarity
The price of timber stumpage is one of the few natural-resource rents that can be directly observed as a market price. Rules for optimal timber harvesting under uncertainty have been found to depend on whether the timber rent price is non-stationary or stationary. In this study we extend previous research by Hultkrantz (1995) that tested for unit-root with an exogenous break point in Swedish stumpage prices from 1909-1990, employing data up to 2011, hence for 103 years, and unit-root tests with an endogenously selected break point. We find support for a structural level break at the end of WW2 and that non-stationarity can be rejected. We show that this is a robust conclusion.
|Date of creation:||11 Jan 2013|
|Publication status:||Published as Andersson, Linda, Lars Hultkrantz and Panagiotis Mantalos, 'Stumpage Prices in Sweden 1909-2011: Testing for Non-Stationarity' in Journal of Forest Economics, 2014, pages 33-46.|
|Contact details of provider:|| Postal: Örebro University School of Business, SE - 701 82 ÖREBRO, Sweden|
Phone: 019-30 30 00
Fax: 019-33 25 46
Web page: http://www.oru.se/Institutioner/Handelshogskolan-vid-Orebro-universitet/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Clarke, Harry R. & Reed, William J., 1989.
"The tree-cutting problem in a stochastic environment : The case of age-dependent growth,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 13(4), pages 569-595, October.
- Harry R Clarke & William J. Reed, 1989. "The Tree-Cutting Problem in a Stochastic Environment: The case of Age Dependent Growth," Working Papers 1989.01 EDIRC Provider-In, School of Economics, La Trobe University.
- Harry R Clarke & William J. Reed, 1989. "The Tree-Cutting Problem in a Stochastic Environment: The case of Age Dependent Growth," Working Papers 1989.01, School of Economics, La Trobe University.
- Perron, Pierre & Vogelsang, Timothy J, 1992. "Testing for a Unit Root in a Time Series with a Changing Mean: Corrections and Extensions," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 467-470, October.
- Robin L. Lumsdaine & David H. Papell, 1997.
"Multiple Trend Breaks And The Unit-Root Hypothesis,"
The Review of Economics and Statistics,
MIT Press, vol. 79(2), pages 212-218, May.
- Tom Doan, "undated". "LPUNIT: RATS procedure to implement Lumsdaine-Papell unit root test with structural breaks," Statistical Software Components RTS00110, Boston College Department of Economics.
- Davis, Graham A. & Cairns, Robert D., 2012. "Good timing: The economics of optimal stopping," Journal of Economic Dynamics and Control, Elsevier, vol. 36(2), pages 255-265.
- Clemente, Jesus & Montanes, Antonio & Reyes, Marcelo, 1998. "Testing for a unit root in variables with a double change in the mean," Economics Letters, Elsevier, vol. 59(2), pages 175-182, May.
- Vogelsang, T.I. & Perron, P., 1991.
"Nonstationary and Level Shifts With An Application To Purchasing Power Parity,"
359, Princeton, Department of Economics - Econometric Research Program.
- Perron, Pierre & Vogelsang, Timothy J, 1992. "Nonstationarity and Level Shifts with an Application to Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 301-320, July.
- BAI, Jushan & PERRON, Pierre, 1998.
"Computation and Analysis of Multiple Structural-Change Models,"
Cahiers de recherche
9807, Universite de Montreal, Departement de sciences economiques.
- Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
- Gregory S. Amacher & Markku Ollikainen & Erkki A. Koskela, 2009. "Economics of Forest Resources," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012480, September.
When requesting a correction, please mention this item's handle: RePEc:hhs:oruesi:2013_001. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.