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  • Panel Data SVAR

    Hi all,

    I have some experience with running a SVAR with time series data in STATA. Now, I would like to do the same with panel data.

    However, I am not entirely sure whether this is even possible. Does anyone have any recommendations for running an PS-var in Stata?

    Many thanks in advance !


    With kind regards,

    Keith Vijaya
    Last edited by Keith Vijaya; 01 Apr 2020, 06:54.

  • #2
    I think the Stata Journal article, "Estimation of panel vector autoregression in Stata" would be a good start.

    https://journals.sagepub.com/doi/pdf...867X1601600314

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    • #3
      HI Justin,

      Thank you for your reply! My apologies for this late reaction, I did not expect to have such a quick reply back!

      I have read the paper by Love and I have re-created her process. However, it is still not clear to me how I can impose structural restrictions to the residuals?

      I have heard that there might be a possibility to do this, first I have to run a PVAR (using the command of Love), then get the variance & covariance matrixes.
      Do a Cholesky decomposition to get a lower triangular matrix and then graph the IRF`s.

      Is there any chance you've heard anything about this?

      Stay safe and kind regards,

      Kiethan

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      • #4
        Sorry, Keith Vijaya I am not familiar enough with pvar , but it looks like you need to use the porder option for getting the lower triangular matrix - just be cognizant of the ordering used because it can impact your results. If you're interested, watch the first half of this video for an explanation/example.
        Last edited by Justin Niakamal; 20 Apr 2020, 11:28.

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        • #5
          Hi justin,

          Thanks for taking the effort to reply!

          I will definitely have a look at the video.

          To comment on my original post, I have found out that is indeed not possible to impose structural restrictions on the residuals using PVAR.
          One has to find a work-around by doing this manually using the variance-covariance matrix post estimating the PVAR.


          Kind regards,

          Kiethan

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