Estimating Cross Sectional Regression In Stata with Diagnostics

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  • Опубліковано 29 чер 2023
  • #crosssectional #regression #dataanalysis #autocorrelation #multicollinearity #estimate #stata #outliers #correlation #normality #Jarquebera #shapiro #wilk #francia
    This video guides to the young learners to regress cross sectional data in STATA and do the basic descriptives and diagnostics. This video includes descriptive statistics with details percentiles, interquartile range, #skewness and #kurtosis. Followed with correlation matrix and #scattermatrix. The multicollinearity is assessed using #lmcol test including various tests.
    The diagnostics include #heteroskedasticity, #mis-specification, partial R squared and #DFBETA

КОМЕНТАРІ • 5

  • @syedzainulabedeen2929
    @syedzainulabedeen2929 5 місяців тому

    Thanks for making this vedio it's very helpful to me

  • @faith...5241
    @faith...5241 11 місяців тому

    Hi, thank you for this good video. By "use appropriate distribution" what do you mean? like if I do not remove outliers???

    • @nomanarshed
      @nomanarshed  11 місяців тому +1

      Means quantile regression if it is because of outliers. Ridge regression if variables are important.