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  • Unit root test for unbalanced panels

    Hi!

    I am using data from the British Household Panel Survey which is an unbalanced panel. I am primarily using categorical variables like whether the individual is self employed or not, part vs full time etc. I am using both fixed effects regressions exploiting the panel dimension but also i have taken yearly averages of some variables and ran time series regressions. I would like to test for the possibility that some of my variables have stochastic trends. However, when i do panel unit root tests (for instance Levin-Lin-Chu), i get a message saying 'repeated time values within panel'. When i do a normal ADF test on the yearly averaged variables used for the time series regression, i get that 'sample may not include multiple panels'.

    Does anyone have any suggestions on how i could resolve this problem? Solving one of the two (meaning if i manage to test for stochastic trends either the yearly averaged variables or the non-averaged ones will suffice) will be enough. Thank you in advance

    Christos

  • #2
    Forgot to mention that i tried to drop duplicates and re run the unit root test for panels (an attempt to address the first issue) but i got an error again saying that i need a 'strongly balanced panel'.

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    • #3
      After some research i found that xtfisher works with unbalanced datasets. However, when i tried it, i got an error 'too many values. Is there any suggestion on how i can proceed? I hope that this makes sense. Thank you!

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