Identification of the Long-Run Determinants of U.S.-Canada Softwood Lumber Trade

Zara Liaqat and Xinya Wang

International Journal of Economics and Finance, 2018, vol. 10, issue 1, 1-12

Abstract: This paper uses monthly data from 1994 to 2016 in order to analyze the time series properties of the determinants of Canadian softwood lumber exports to the United States. The key findings generally support the hypotheses of previous studies with the exception of the significance of bilateral exchange rate movements. Based on dynamic ordinary least square estimates and several robust cointegraton tests, the paper finds that the estimated coefficients of exchange rate, softwood lumber price ratio and the two softwood lumber trade agreements are highly sensitive to the lag order used in econometric models. On the other hand, the coefficient of housing starts index remains independent of the variation in number of lags included. In addition, we study the long-run response of Canadian exports of lumber to shocks in these determinants by generating impulse response functions.

Keywords: softwood lumber; stationary time series; cointegration; exchange rate (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijefaa:v:10:y:2018:i:1:p:1-12

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