Dear statalisters,
I would like to ask you please why a coefficient and its paramenters could be zero?
In the next output, you can see coefficient with value zero for mkt and for the constant. I think is not collinearity because usally when that happens it says omitted.
Thank you very much for any guide about it.
best regards, Alejandro
The command used was (in stata 15)
I would like to ask you please why a coefficient and its paramenters could be zero?
In the next output, you can see coefficient with value zero for mkt and for the constant. I think is not collinearity because usally when that happens it says omitted.
Thank you very much for any guide about it.
best regards, Alejandro
The command used was (in stata 15)
Code:
metareg es p i m pn en eqa neq cha dex mult nfpa ac stk mkt surv tec man cper adj log fsi fag fsal rdi sla ppv pdep aim aag apex prel rda psi npa asi acop cul geo gdp tru usa cty nv ivi ind yea [w=fo], model (mm)
HTML Code:
Meta-Analytic Random Intercept, Fixed Slopes Regression Analysis Source Q df P No. of obs = 985 Mean ES = 0.0169 Model 363.4017 46 0.00000 R-squared = 0.1973 Residual 1478.8882 938 0.00000 Total 1842.2899 984 0.00000 Variable Coef. Std. Err. z P>z [95% Conf. Interval] p -.065044 .022584 -2.88006 0.003976 -.109309 -.020779 i -.009889 .003381 -2.92526 0.003442 -.016515 -.003263 m .001551 .000946 1.63816 0.101388 -.000305 .003406 pn .004085 .016347 .249909 0.802658 -.027955 .036126 en .000029 .012981 .002208 0.998238 -.025414 .025472 eqa -3.0753 1.89876 -1.61965 0.105307 -6.79692 .646237 neq -3.0625 1.89999 -1.61184 0.106998 -6.78644 .661506 cha -3.0349 1.89801 -1.59897 0.109828 -6.75495 .685239 dex -3.0353 1.89699 -1.60004 0.109590 -6.75335 .682838 mult -3.0545 1.89847 -1.60892 0.107633 -6.77549 .666508 nfpa -2.9649 1.89882 -1.56144 0.118420 -6.68657 .756796 ac .021129 .036228 .583216 0.559748 -.049878 .092136 stk .099349 .035932 2.76493 0.005693 .028923 .169776 mkt 0 0 . . 0 0 surv -.005492 .035802 -.153387 0.878093 -.075664 .064681 tec .051017 .037522 1.35965 0.173941 -.022526 .12456 man .12225 .033437 3.65606 0.000256 .056711 .187783 cper -.36405 .110126 -3.30574 0.000947 -.579893 -.1482 adj .15403 .056897 2.70716 0.006786 .042511 .265548 log .068147 .02593 2.62811 0.008586 .017324 .11897 fsi .015069 .012428 1.21246 0.225336 -.009291 .039428 fag .040444 .015558 2.59951 0.009336 .00995 .070938 fsal -.058324 .025717 -2.26787 0.023337 -.10873 -.007918 rdi .091974 .017304 5.31532 0.000000 .058059 .125889 sla -.030345 .02516 -1.20608 0.227787 -.079659 .018969 ppv -.000034 .02493 -.001354 0.998920 -.048896 .048829 pdep -.03831 .021825 -1.75535 0.079199 -.081087 .004466 aim -.057982 .022561 -2.57001 0.010170 -.102201 -.013762 aag .006862 .014614 .469535 0.638688 -.021781 .035504 apex -.015677 .013575 -1.15483 0.248159 -.042284 .01093 prel .065808 .013478 4.88259 0.000001 .039391 .092226 rda -.057806 .019643 -2.94284 0.003252 -.096306 -.019306 psi -.068684 .025796 -2.66261 0.007754 -.119245 -.018124 npa .033065 .018311 1.80574 0.070958 -.002825 .068954 asi -.069288 .017784 -3.89614 0.000098 -.104144 -.034432 acop .055751 .018406 3.02897 0.002454 .019675 .091826 cul .062433 .015462 4.03795 0.000054 .032128 .092738 geo -.011336 .022671 -.500025 0.617057 -.055772 .033099 gdp .021191 .020028 1.0581 0.290011 -.018063 .060445 tru -.021388 .020313 -1.05291 0.292382 -.061202 .018426 usa .022632 .023017 .983251 0.325484 -.022482 .067745 cty -.008364 .027037 -.309353 0.757053 -.061357 .044629 nv .000372 .000423 .880756 0.378450 -.000456 .001201 ivi -.006033 .014989 -.402481 0.687330 -.03541 .023345 ind -.074778 .012284 -6.08766 0.000000 -.098854 -.050702 yea -.041271 .013598 -3.03498 0.002406 -.067923 -.014618 _cons 0 0 . . 0 0 Random effects variance component (via method of moments) = .0118395
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