Hi Hi,
Does anyone have a good method for outputting the estimates created by an rbounds test using psmatch2 results?
rbounds is a user written command that allows me to generate Rosenbaum bounds and I get the following stata output.
there does not appear to be documentation on outputting results to the table so I am hoping statalist can give me some clues to reporting these results in my paper.
thanks
Does anyone have a good method for outputting the estimates created by an rbounds test using psmatch2 results?
rbounds is a user written command that allows me to generate Rosenbaum bounds and I get the following stata output.
Code:
gen rbounds_diff= right_vote - _right_vote if _treat==1 & _support==1
(7,271 missing values generated)
. rbounds rbounds_diff, gamma(1 (.1) 3)
Rosenbaum bounds for rbounds_diff (N = 77 matched pairs)
Gamma sig+ sig- t-hat+ t-hat- CI+ CI-
----------------------------------------------------------------------
1 5.7e-08 5.7e-08 -.043111 -.043111 -.058265 -.029635
1.1 7.0e-09 3.8e-07 -.045959 -.040853 -.061071 -.026934
1.2 8.6e-10 1.8e-06 -.048828 -.038702 -.063178 -.023993
1.3 1.1e-10 6.9e-06 -.050878 -.036051 -.065694 -.022305
1.4 1.3e-11 .000022 -.052603 -.033887 -.067391 -.020334
1.5 1.6e-12 .000057 -.0547 -.032135 -.069763 -.018063
1.6 2.0e-13 .000135 -.057044 -.030918 -.071574 -.016203
1.7 2.4e-14 .000286 -.058376 -.029506 -.073443 -.014169
1.8 2.9e-15 .000555 -.059979 -.028104 -.075232 -.012895
1.9 3.3e-16 .001001 -.061393 -.026353 -.076749 -.011252
2 0 .001696 -.062621 -.025005 -.078716 -.009478
2.1 0 .002726 -.063823 -.023673 -.08011 -.007926
2.2 0 .004183 -.064948 -.022942 -.081928 -.006495
2.3 0 .006167 -.065947 -.021961 -.083727 -.005543
2.4 0 .008778 -.067106 -.02093 -.085055 -.004394
2.5 0 .012113 -.06799 -.019582 -.085994 -.003104
2.6 0 .016267 -.069381 -.018601 -.087217 -.001943
2.7 0 .02132 -.070101 -.017708 -.088455 -.000595
2.8 0 .027343 -.071232 -.016643 -.089653 .000758
2.9 0 .034394 -.071894 -.015847 -.090831 .002071
3 0 .042513 -.072605 -.014932 -.091861 .003243
* gamma - log odds of differential assignment due to unobserved factors
sig+ - upper bound significance level
sig- - lower bound significance level
t-hat+ - upper bound Hodges-Lehmann point estimate
t-hat- - lower bound Hodges-Lehmann point estimate
CI+ - upper bound confidence interval (a= .95)
CI- - lower bound confidence interval (a= .95)
thanks
