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Trends and random walks in macroeconomic time series : Further evidence from a new approach


  • Perron, Pierre


This Paper Presents a Summary of Recent Work on a New Methodology to Test for the Presence of a Unit Root in Univariate Time Series Models. the Stochastic Framework Is Quite General. While the Dickey-Fuller Approach Accounts for the Autocorrelation of the First-Differences of a Serie in a Paremetric Fashion by Estimating Additional Nuisance Parameters, This New Approach Deals with This Phenomenon in a Nonparametric Way. We Apply These New Tests to Reassess Recent Findings on the Behavior of Common Macroeconomic Time Series, Including the Various Series Studies by Nelson and Plosser (1982).
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Suggested Citation

  • Perron, Pierre, 1988. "Trends and random walks in macroeconomic time series : Further evidence from a new approach," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 297-332.
  • Handle: RePEc:eee:dyncon:v:12:y:1988:i:2-3:p:297-332

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