metareg using D. Wilson macro

[Alejandro Torres]

Dear statalister,
Its always good to read you again.
Today I am wirting you because is the first time that I am running a meta-analysis regression and I have some doubts please.
I installed the ado file from David Wilson for metareg and I using stata 15. All the variables are dummies for testing the characteristics of the studies and the sample.

I am running this 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)

and I got this results:

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

My questions are:

1. After enter the code it says

   (analytic weights assumed)

   , what does it means?
2. In the results the variable mkt and the constant have a beta = 0 ¿Why is that happening or what does it mean?
3. Is it correct the code in terms of syntax?

I really appreciate any help about it.
Best regards !
Alejandro

[Paulan van Nes]

Hi Alejandro,

I am not familiar with the metareg command, but have you tried using this specific command with perfectly collinear variables? My suspicion is that it doesn't automatically omit such variables like you would see when you use standard Stata commands like "reg".

In general, a coefficient equal to 0 could simply the best estimate, but we would not expect the 95% confidence interval to be [0,0].