2012
DOI: 10.1016/j.forpol.2011.07.007
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The long-run determinants of U.S. lumber imported from Canada revisited

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Cited by 23 publications
(12 citation statements)
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“…Moreover, by analyzing the time series properties of the determinants of Canadian softwood lumber exports to the U.S., we propose the most appropriate econometric techniques which should be utilized in empirical studies when modeling the dynamic behaviour of Canadian lumber exports. Accordingly, the paper also attempts to reconcile the opposing findings obtained by the earlier studies foreseeing an insignificant effect of several crucial determinants, including the exchange rate (Buongiorno et al, 1988;Jennings et al, 1991;Sarker, 1996;Bolkesjo & Buongiorno, 2006;Baek, 2012), with those obtained by a handful of others revealing a substantial long-run effect of some or all of these variables (Adams et al, 1986;Wear & Lee, 1993;Baek, 2007). It does so by highlighting the variation in estimated coefficients obtained by making alternative time-series modeling assumptions.…”
Section: Introductionmentioning
confidence: 77%
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“…Moreover, by analyzing the time series properties of the determinants of Canadian softwood lumber exports to the U.S., we propose the most appropriate econometric techniques which should be utilized in empirical studies when modeling the dynamic behaviour of Canadian lumber exports. Accordingly, the paper also attempts to reconcile the opposing findings obtained by the earlier studies foreseeing an insignificant effect of several crucial determinants, including the exchange rate (Buongiorno et al, 1988;Jennings et al, 1991;Sarker, 1996;Bolkesjo & Buongiorno, 2006;Baek, 2012), with those obtained by a handful of others revealing a substantial long-run effect of some or all of these variables (Adams et al, 1986;Wear & Lee, 1993;Baek, 2007). It does so by highlighting the variation in estimated coefficients obtained by making alternative time-series modeling assumptions.…”
Section: Introductionmentioning
confidence: 77%
“…While housing starts reasonably measures the demand for lumber for constructing new houses, disposable income more adequately captures the demand accounted for by house repairs or remodeling. However, as pointed out by Baek (2012), housing starts and disposable income are highly correlated. To avoid the problem of multicollinearity, we only include the housing starts index in our estimation.…”
Section: Literature Review and Theoretical Frameworkmentioning
confidence: 96%
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