This research estimated dynamic supply and demand equations for the U.S. softwood lumber using two-stage least squares. Long-run and ECM equations were derived from the estimated coefficients. Empirical data included monthly observations from 1990 to late 2006. Stationarity of the residuals was explored using Augmented Dickey-Fuller statistics. Results suggest that demand and supply elasticities in both short and long-run are relatively small compared with past studies. The Canadian softwood lumber supply to the U.S. is more price elastic than the domestic softwood lumber supply. U.S. import tariffs have had limited impact on the amount of softwood lumber imported from Canada. Technological progress and end-of-year seasonal effects on softwood lumber demand and supplywere significant over this period.
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1 January 2011
Research Article|
January 01 2011
U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations
Nianfu Song;
Department of Forestry, 203 Anheuser-Busch Natural Resources Building,
University of Missouri
, Columbia, MO 65211, USA
Corresponding author. Tel.: +1 573 8755341x235.
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Sun Joseph Chang;
Sun Joseph Chang
School of Natural Resources, Louisiana State University
, USA
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Francisco X. Aguilar
Francisco X. Aguilar
Department of Forestry,
University of Missouri
, USA
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Corresponding author. Tel.: +1 573 8755341x235.
Received:
October 14 2009
Accepted:
July 15 2010
Online ISSN: 1618-1530
Print ISSN: 1104-6899
© 2010 Department of Forest Economics, SLU Umeå, Sweden
2010
Department of Forest Economics, SLU Umeå, Sweden
Licensed re-use rights only
Journal of Forest Economics (2011) 17 (1): 19–33.
Article history
Received:
October 14 2009
Accepted:
July 15 2010
Citation
Song N, Chang SJ, Aguilar FX (2011), "U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations". Journal of Forest Economics, Vol. 17 No. 1 pp. 19–33, doi: https://doi.org/10.1016/j.jfe.2010.07.002
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