Policy impacts estimates are sensitive to data selection in empirical analysis: evidence from the United States – Canada softwood lumber trade dispute

Daowei Zhang; Rajan Parajuli

doi:10.1139/cjfr-2016-0168

Treesearch

Policy impacts estimates are sensitive to data selection in empirical analysis: evidence from the United States – Canada softwood lumber trade dispute

Formally Refereed

Authors:

Daowei Zhang, Rajan Parajuli

Year:

2016

Type:

Scientific Journal

Station:

Southern Research Station

DOI:

https://doi.org/10.1139/cjfr-2016-0168

Source:

Canadian Journal of Forest Research

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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.

Keywords

Policy analysis, time-series data, time element, US-Canada, softwood lumber trade dispute

Citation

Zhang, Daowei; Parajuli, Rajan. 2016.Policy impacts estimates are sensitive to data selection in empirical analysis: evidence from the United States – Canada softwood lumber trade dispute. Canadian Journal of Forest Research. 46(11): 1343-1347p https://doi.org/10.1139/cjfr-2016-0168.