2016
DOI: 10.1139/cjfr-2016-0168
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Policy impacts estimates are sensitive to data selection in empirical analysis: evidence from the United States – Canada softwood lumber trade dispute

Abstract: In this paper, we use the U.S. softwood lumber import demand model as a case study to show that the effects of past trade policies are sensitive to the data sample used in empirical analyses. We conclude that, to be consistent with the purpose of analysis of policy and to ensure all else being equal, policy impacts can only be judged by using data up to the time when the policy is terminated.

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Cited by 7 publications
(1 citation statement)
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“…The methods used to obtain these results attempted to take into account the uncertainty due to the model parameters. Zhang and Parajuli (2016) also point out the sensitivity of policy impact estimates to data selection in empirical analysis. In particular, the approach in this paper assumed that numerous policy changes such as the repeated softwood lumber agreements between the US and Canada were included in the multicountry residual shocks of eqs.…”
Section: Discussionmentioning
confidence: 99%
“…The methods used to obtain these results attempted to take into account the uncertainty due to the model parameters. Zhang and Parajuli (2016) also point out the sensitivity of policy impact estimates to data selection in empirical analysis. In particular, the approach in this paper assumed that numerous policy changes such as the repeated softwood lumber agreements between the US and Canada were included in the multicountry residual shocks of eqs.…”
Section: Discussionmentioning
confidence: 99%