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Title: The Use of Long-Run Restrictions for the Identification of Technology Shocks      
dateReleased:
04-08-2015
downloadURL: http://dx.doi.org/10.3886/ICPSR01286.v1
ID:
doi:10.3886/ICPSR01286.v1
description:
The authors survey the recent empirical literature using long-run restrictions to identify technology shocks and provide an illustrative walk-through of the long-run restricted vector autoregression (VAR) methodology in a bivariate framework. Additionally, they offer an alternative identification of technology shocks that can be imposed by restrictions on the long-run impulse responses to evaluate the robustness of the conclusions drawn by the structural VAR literature. Their results from this methodology compare favorably with the empirical literature that uses structural VARs to identify technology shocks.
description:
Francis, Neville R.; Owyang, Michael T.; Theodorou, Athena T., 2015, "The Use of Long-Run Restrictions for the Identification of Technology Shocks", http://dx.doi.org/10.3886/ICPSR01286.v1
name:
Francis, Neville R.
Owyang, Michael T.
Theodorou, Athena T.
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997

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