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  • Handling Heteroskedasticity and Autocorrelation in My Panel Regression Models

    Hello everyone,
    I hope you are all doing well. I would like to ask for your guidance regarding an issue in my panel data analysis.

    I am working with 219 observations (73 firms over 3 years). My variables include:
    • Y (firm value),
    • X1 (ESG),
    • X2 (ROA),
    • X3 (Size),
    • and FC as a mediation variable.
    Because of the mediation, I have three regression models:
    1. Model 1: Y on the independent variables — selected Fixed Effects
    2. Model 2: Mediator (FC) on X — estimated with OLS
    3. Model 3: Y on X and the mediator — selected Fixed Effects
    I conducted the classical assumption tests using Model 3 because it contains all variables. I detected heteroskedasticity and autocorrelation, so I applied vce(robust).

    My questions are:
    1. Is using vce(robust) in this situation appropriate?
    2. When I compared vce(cluster) to vce(robust), Models 1 and 3 show no change, but Model 2 shows different standard errors (although the direction of coefficients stays the same).
    3. For a thesis, what is the correct reference or justification for choosing vce(cluster) instead of vce(robust)?
    Thank you very much for your assistance.

  • #2
    Rasti:
    you're dealing with a N>T panel dataset.
    1)-3) You should go -xtreg,fe vce(cluster panelid)- or -xtreg,fe robust- (they do the very same job under -xtreg-; tha same does not hold under -regress-, though).
    Kind regards,
    Carlo
    (Stata 19.0)

    Comment


    • #3
      Originally posted by Carlo Lazzaro View Post
      Rasti:
      you're dealing with a N>T panel dataset.
      1)-3) You should go -xtreg,fe vce(cluster panelid)- or -xtreg,fe robust- (they do the very same job under -xtreg-; tha same does not hold under -regress-, though).
      Previously, thank you for your explanation. May I ask about my second model, which is estimated using regress—should I apply the same approach for the standard errors, or is there a different recommendation for this case?
      Also, if you have any journal references that I could cite in my thesis regarding the use of clustered standard errors in panel-data models, I would be very grateful.

      Thank you very much.

      Comment


      • #4
        Rasti:
        1) I would not consider -regress- to address your research question.
        2a) see -_robust- entry and related references in Stata .pdf manual.
        2b) Among many others: Hans-Jürgen Andreß , Katrin Golsch , Alexander W. Schmidt. Applied Panel Data Analysis for Economic and Social Surveys. Springer Berlin, Heidelberg, 2013:125-126.
        Kind regards,
        Carlo
        (Stata 19.0)

        Comment


        • #5
          Originally posted by Carlo Lazzaro View Post
          Rasti:
          1) I would not consider -regress- to address your research question.
          2a) see -_robust- entry and related references in Stata .pdf manual.
          2b) Among many others: Hans-Jürgen Andreß , Katrin Golsch , Alexander W. Schmidt. Applied Panel Data Analysis for Economic and Social Surveys. Springer Berlin, Heidelberg, 2013:125-126.
          Thank you very much, Mr. Carlo

          I appreciate your clarification and the references you recommended, including the Stata manual entry on robust and the book by Andreß, Golsch, and Schmidt. Thank you for your helpful guidance.
          ​​​​​​​

          Comment

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