I am trying to get a table of my first stage using ivreg2 and esttab. I would like to add the overidentification test statistic as well as the F statistic for the excluded instruments to the table. I have tried to do it using the "scalars"-option in esttab and calling on "j" and "widstat". It adds a row for both j and widstat, but adds no values. Is there some way to fix this?
I am using the following code:
Code:
eststo: ivreg2 checks_diff (mean_aid_pop75 = colony popratio75 col_popratio75) checks_first, r first savefirst savefprefix(checks1)
esttab checks* using "$out\first_stages_checks.tex",cells(b(star fmt(3)) se(par fmt(3))) label star(* 0.10 ** 0.05 *** 0.01) booktabs scalars(widstat j) title(First stage for the period 1975-2019 \label{reg1}) addnotes("All variables are means for for the period, except initial checks")replaceCode:
* Example generated by -dataex-. For more info, type help dataex
clear
input float(checks_diff mean_aid_pop75 colony popratio75 col_popratio75 checks_first)
3.3333335 3.6907804 1 -.8628807 -.8628807 1
0 55.43914 1 1.0814705 1.0814705 1
2 58.38091 1 1.20673 1.20673 1
.33333325 59.96497 1 .5728483 .5728483 2
1.8333334 19.88667 0 -1.8594017 0 1.1666666
1 77.3685 1 .7803202 .7803202 1
3.5 2.270266 1 -2.2848072 -2.2848072 1
-1 131.7344 1 2.689328 2.689328 3
2 6.934492 1 .02991295 .02991295 1
0 1.1726826 0 -4.4304066 0 1
1.3333333 52.98597 1 .531806 .531806 1
1.1666667 50.92534 1 .3816843 .3816843 1
3.8333335 31.214815 1 -.7412529 -.7412529 1
2.5 91.79053 1 1.960431 1.960431 1
2 12.51031 1 -.7907391 -.7907391 2
-1.6666667 43.90652 1 1.650876 1.650876 4
.5 62.28271 1 2.821203 2.821203 3
1 19.336376 0 .7520866 0 1
2 13.206845 1 -.4198265 -.4198265 1
.6666666 18.926846 1 .4449406 .4449406 1.3333334
-.8333334 62.23111 1 -1.2618923 -1.2618923 2.1666667
2 27.78533 0 -1.0932541 0 1
-3 106.61917 1 2.940602 2.940602 4
2 111.55469 1 2.824618 2.824618 1
1.6666666 49.12981 1 .08886147 .08886147 1.3333334
-.16666675 103.82304 1 3.006254 3.006254 3
1.6666667 127.76946 1 2.6566334 2.6566334 1
1 26.73812 1 .57665825 .57665825 3
1.3333333 123.35879 1 2.683275 2.683275 2
3 73.581604 1 1.2416067 1.2416067 1
4 65.85674 1 .7618656 .7618656 1
2 0 0 .034812927 0 1
2.833333 7.892386 1 -2.4827175 -2.4827175 1
-.1666665 3.2543175 1 -4.044672 -4.044672 4.1666665
2 2.3594623 0 -1.0982437 0 1
.33333325 287.71716 1 1.150218 1.150218 3
1 67.90886 1 1.6829815 1.6829815 3
1.6666667 43.54558 1 -.218256 -.218256 1
0 2.364017 0 -1.173296 0 3
0 34.942703 1 -.23137283 -.23137283 3
3.3333335 94.69737 1 2.2409353 2.2409353 1
0 48.79314 1 -.4889431 -.4889431 1
2.5 40.36388 1 .36769485 .36769485 1
3.3333335 3.353338 1 -1.6977482 -1.6977482 1
1.1666667 71.841644 1 .52096844 .52096844 1
.16666663 176.20226 1 2.104415 2.104415 1
-1.6666667 68.78692 1 2.50433 2.50433 4
2 59.4459 1 .706461 .706461 1
1.5 10.731293 1 -.10829163 -.10829163 3
-1 80.5605 0 2.4435205 0 2
1.3333333 56.65337 1 .7442827 .7442827 1
2.5 8.482095 1 -1.759018 -1.759018 1.5
1 111.74078 0 1.357974 0 1
3 15.75013 1 -1.8119144 -1.8119144 1
2 24.2945 0 1.8332043 1.8332043 1
3 20.472513 1 -.345932 -.345932 1
3.5 12.014452 0 -1.3304768 -1.3304768 1
-1 127.94538 1 1.2458353 1.2458353 4
1 21.05519 0 1.363556 1.363556 1
3.3333335 0 1 -.6683655 0 1
2 80.99821 1 .9164886 .9164886 1
1 97.46998 1 .794733 .794733 1
0 6.975947 0 1.5735264 1.5735264 2
2.1666667 59.36668 1 1.2791185 1.2791185 1
3 60.12527 1 .9658031 .9658031 1
.3333334 166.01363 1 .3703871 .3703871 1
.5 47.75142 1 .9818459 .9818459 1
1 54.24771 1 1.5102262 1.5102262 1
-.4666666 8.185507 0 -1.3553677 0 1.8
-1 8.785644 1 2.3791656 2.3791656 4
3 61.57366 1 .6571627 .6571627 1
-5.166667 17.404825 1 -1.2806053 -1.2806053 7.333333
2 41.05482 1 .01630783 .01630783 1
1 11.932553 0 1.349703 0 1
.33333325 2.3428912 1 -.18938065 -.18938065 3
-.5 10.788183 1 -.8366127 -.8366127 2.5
2.5 95.51285 1 .7920113 .7920113 1
1.3333333 44.95705 1 .5504637 .5504637 2.666667
end
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