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  • VCV matrix was non-positive semi-definit, missing F statistic, highly singular Var matrix

    For a panel data analysis with 6 million observations, I will receive the following warnings but when I check for multicollinearity, it's ok.
    Do you have any comments on how to deal with these warnings?

    Warning: VCV matrix was non-positive semi-definite; adjustment from Cameron, Gelbach & Miller applied.
    warning: missing F statistic; dropped variables due to collinearity or too few clusters
    Warning: Variance matrix is nonsymmetric or highly singular.


    If it helps, here is the model:

    reghdfe LogHourlyReadingTime USDRate InternetShutdownFlag LaggedCumulativeBooks, absorb(DayOfWeek WeekNumber HourOfDay UserID) cluster(DayOfWeek WeekNumber HourOfDay UserID)


    When I run it on my Stata (SE18 and BE17), the results table is empty and I only see coefficients. But on some other devices, it generates the result table but without F-statistics.


    I need your help a lot!

    Thanks!
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