Abstract

With the objective to settle the often conflicting and inconclusive extant debate on whether the observed secular growth can be characterized by a deterministic or stochastic trend, Darné comes up with an alternative method – the outlier detection methodology and studies the persistence properties of US real GNP for the period 1869–1993. Given that the presence of outliers in a time series – unless detected and adjusted – often render wrong impression on the persistence properties and their implications for long-run growth, Darné’s contribution in this regard is significant. Outliers of varied types assume varying persistence profiles, therefore detection of them in the GNP growth is a pre-requisite for characterizing the series in a stochastic or deterministic setting. To further intuition on the exact nature of persistence, I applied fractional integration test of the four real GNP series and found that outlier adjusted GNP series are mean-reverting and are more persistent than original. The rate of convergence of stochastic shocks to long-run mean have important implications for growth dynamics.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.