search for: employee_kld

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2010 Feb 04
1
plm issues: error for "within" or "random", but not for "pooling"
...ed no such issues. ##unfortunately I cannot disclose the data, and it is too big anyway > dim(ibes.kld.exp.p[x.subs , ]) [1] 13189 34 > summary(ibes.kld.exp.p[x.subs , ]$ibes1y.meanest) total sum of squares : 28058 id time 0.752284 0.018656 > summary(ibes.kld.exp.p[x.subs , ]$employee_kld) total sum of squares : 9146.5 id time 0.637098 0.073421 ##fitting a pooling model works OK > x <- plm(ibes1y.meanest ~ employee_kld, ibes.kld.exp.p[x.subs , ], model="pooling") > summary(x) Oneway (individual) effect Pooling Model Call: plm(formula = ibes1y.meanest ~...