L. Christiano, M. Eichenbaum and R. Vigfusson, “Alternative Procedures for Estimating Vector Autoregressions Identified with Long-Run Restrictions,” Journal of the European Economic Association, Vol. 4, No. 2-3, 2005, pp. 475-483. doi:10.1162/jeea.2006.4.2-3.475

has been cited by the following article:

• TITLE: On the Identification of Technology Shocks: An Alternative to the Standard Long-Run Method

  AUTHORS: Ufuk Devrim Demirel

  KEYWORDS: Technology Shocks; Long-Run Restrictions; Relative Identification

  JOURNAL NAME: Theoretical Economics Letters, Vol.2 No.5, December 27, 2012

  ABSTRACT: This study proposes an alternative procedure to identify technology shocks using vector autoregressions (VARs). The proposed procedure delivers improved small-sample properties relative to the standard long-run identification method provided that the dynamics of the observed variables can only be captured precisely by an infinite-order VAR. Monte Carlo experiments on artificial data produced by a standard version of the real business cycle model demonstrate that the proposed procedure is associated with smaller average bias and mean square error. These results obtain under a range of specifications regarding the share of technology shocks in overall output variability.