Dear all,
Hope you are doing well. I am trying to model the historical number of
transits of a particular market segment, but the problem is that I have
missing data.
I am working with monthly data, so I have 12 observations per year (in
general). The problem is that, when I bring the data from the database, the
following happens, for example:
January-2000, Feb-2000, Apr-2000, Jun 2000 (I have missing observations)
when I am supposed to have the sequence January-2000, Feb-2000, Mar-2000,
Apr-2000, May-2000, Jun-2000, etc.
How can I model a time series when there are missing months? I was planning
making up fictional or fake observations with a value of 1 to fill in the
gaps but not sure if this is a reasonable approach.
Any help and/or guidance will be greatly appreciated,
Best regards,
Paul
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