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  • Frequency domain granger causality test

    Hi,

    Im not sure if this is the right place to post this... but anyway...

    I have a time series data set with annual data from year 1996 to 2015. But data from 1997, 1999 and 2001 is missing. I will transpose the time series domain to a frequency domain.

    When using time series domain i need the same time interval between each data point. ( example 2002,2003,2004 etc... ) Now the problem is that the interval between differs because of the missing values. ( i have 1996,1998,2000,2002,2003,2004... etc.. ) which, when using time series this creates problem.

    My question is, when using frequency domain... is it still a problem that i have different intervals between my data points?

    And do anyone have literature on the topic to recommend?

    Best regards
    Gregg

  • #2
    You don't signal what frequency domain calculations you require but irregular spacing is not an absolute barrier to frequency domain work: there is a mass of literature in astronomy, geophysics, etc. on spectrum calculations for such data. One key word is Lomb-Scargle, fortuitously also least squares (LS) spectrum. I had a crude Stata program somewhere but I never wrote it up.

    The bigger deal by far is that series of length 20 strike me as extraordinarily short for such work even without the gaps, but I am happy to label that a personal prejudice not based on much experience.

    Oddly as I recall Granger himself worked in the frequency domain early in his career.

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    • #3
      Thank you for you answer Nick!

      To transpose timeseries domain to Frequency i us fourier analysis tool in excel. I will use your keywords to find some literature on the topic.

      I want to do something similar as these guys have done http://www.sciencedirect.com/science...62940816301280

      Thanks!

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