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Thread: Ordinal Time-Series Dependent Variable

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    Ordinal Time-Series Dependent Variable




    I am attempting to run a regression with an ordinal DV that is panel/time series data. I only have SPSS and with the ordinal DV, it seems I should be running the PLUM (Polytomous Universal Model). Will this work with time series data?

    My dataset is based on election results over 20 years, covering 40 countries (roughly 4-5 election results per country). The DV is an ordinal measure (0 to 15) of the quality of the election management.

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    Re: Ordinal Time-Series Dependent Variable

    I don't know SPSS at all when it comes to time series so I won't comment on that. Generally when you run time series you want to run it with some form of autoregressive error component [regression with autoregressive error is a good example of this - some call this dynamic regression]. I have not seen this done with non-interval dv so I do not know if that works or not.
    "Very few theories have been abandoned because they were found to be invalid on the basis of empirical evidence...." Spanos, 1995

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    Re: Ordinal Time-Series Dependent Variable

    Thank you. I will look into that to see if it will work. Thanks again!

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    Re: Ordinal Time-Series Dependent Variable


    I suggest looking up either AR or ARDL in the context of regression time series. The use of the distributed lag portion of these is really complicated IMHO....
    "Very few theories have been abandoned because they were found to be invalid on the basis of empirical evidence...." Spanos, 1995

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