Moving average filters and unit roots


Article
pp 399-403.
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Moving average filtering a stationary AR(1) time series yields higher valued first order autocorrelations. Its implications for unit root testing in seasonally (un-) adjusted time series are evaluated theoretically, via simulations, as well as with an empirical example.



Keywords


Automatically Extracted Terms
  • series
  • unit roots
  • time series
  • unit root
  • process
  • procedure
  • filter
  • nonseasonal unit root
  • autocorrelation
  • testing
  • nonseasonal
  • ghysel
  • adjustment procedures
  • regression
  • adjustment
  • value
  • unit root tests
  • test procedure
  • t value
  • method