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  • panel unit root test fixed effect random effect

    1. In what bases of Unit root test result I can go for fixed and random effect modelling?
    2. Can I go for Fixed effect or Random effect modelling if there is unit root (non-stationary variables) in my variables?
    3. What if some of my variables have unit root and some there is no unit root (stationary variables)?

    NB: I have five countries 27 years data

  • #2
    Tough to allow for a unit root for only 27 years of data, but I do not have any empirical evidence to support this to be honest...

    Since you have T>N, you could go for Driscoll-Kraay (1998) standard errors, although in your case T/N does not really tend to infinity...

    Concerning the estimation method of your coefficients (and not the variance-covariance matrix of the errors), definitely resort to two-way fixed effects, just by default. Assumptions are more plausible than random effects' assumptions.

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    • #3
      hello Maxence Morlet .....my query is that do i need to go for stationary test with PPMLHDFE model of PPML. my panel data set has 24 years and 44 countries i.e. N>T....thanks in advance...keenly seeking your reply

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      • #4
        You cannot really allow for a unit root with 24 years of data, just go for Poisson pseudo max likelihood model, use cluster-robust standard errors, and include at least two-way fixed effects (if you only have country and time variation).

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        • #5
          thank you Maxence Morlet for your help. Good wishes for your future.

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