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. 2022 Jul 1;8(7):e09837. doi: 10.1016/j.heliyon.2022.e09837

Table 9.

Rosenbaum bounds sensitivity analysis by outcome variables (Kernel matching algorithm, bandwidth = 0.06).

Outcome variable ∗Gamma (hidden bias magnitude) Significance level
Hodges-Lehmann point estimate
Confidence interval (95%)
upper bound lower bound upper bound lower bound upper bound lower bound
Wheat yield (kg ha-1) 1 2.8e-15 2.8e-15 902.698 902.698 707.293 1093.13
2 .000011 0 514.837 1279.24 312.152 1481.46
3 .007773 0 305.433 1487.9 67.3658 1714.46
3.1 .011389 0 287.815 1504.37 46.5598 1735.6
3.2 .016179 0 270.354 1521.32 26.3379 1755.55
3.3 .022348 0 253.181 1537.23 5.5909 1774.61
3.4 .030089 0 237.798 1553.08 -10.8594 1792.03
4 .117203 0 152.366 1634.09 -109.049 1887.92
5 .400121 0 32.4502 1749.65 -227.191 2010.93
5.1 .432392 0 19.4553 1762.28 -237.443 2021.96
5.2 .464475 0 9.72024 1770.81 -249.618 2032.68
5.3 .496172 0 1.68402 1779.74 -256.868 2043.54

5.4
.5273
0
-9.33009
1788.98
-264.469
2051.62
Wheat net income (in ‘000 birr ha-1 year-1) 1 6.4e-08 6.4e-08 7.67643 7.67643 4.86032 10.374
1.1 1.1e-06 2.5e-09 6.89615 8.40895 4.05947 11.0665
1.2 .000012 9.2e-11 6.15835 9.14767 3.33205 11.8322
1.3 .000077 3.2e-12 5.47176 9.81392 2.72201 12.5079
1.4 .000371 1.1e-13 4.86988 10.3689 2.1226 13.0749
1.5 .001368 3.4e-15 4.32216 10.8397 1.57158 13.59
1.6 .004073 1.1e-16 3.78405 11.3686 1.04115 14.0718
1.7 .010181 0 3.30321 11.8597 .539349 14.5796
1.8 .022011 0 2.91341 12.3542 .07997 15.0423
1.9 .042154 0 2.47432 12.7514 -.411635 15.4756
2 .072906 0 2.09184 13.1039 -.83785 15.9194
2.5 .389293 0 .387565 14.715 -2.65621 17.8096
2.6 .469825 0 .095027 15.0206 -2.99061 18.1208

2.7
.548534
0
-.186282
15.3175
-3.33203
18.4064
Maize yield (kg ha-1) 1 .001326 .001326 235.075 235.075 82.1905 392.101
1.05 .003239 .0005 214.555 256.627 61.804 417.21
1.1 .007059 .000183 194.881 279.125 40.1629 438.779
1.15 .013934 .000065 175.728 300.416 19.2788 460.093
1.2 .025238 .000023 156.315 317.049 -.360678 481.874
1.25 .042406 7.6e-06 137.816 336.222 -19.7912 501.948
1.3 .066711 2.5e-06 119.767 355.656 -36.9964 525.14
1.4 .139739 2.7e-07 83.6981 390.539 -68.0076 567.959
1.5 .244305 2.6e-08 55.1584 423.765 -97.0015 606.025
1.6 .370918 2.5e-09 25.6437 452.7 -121.886 636.881

1.7
.504524
2.3e-10
-.955894
482.527
-146.854
668.765
Maize net income (in ‘000 birr ha-1 year-1) 1 .064087 .064087 .999053 .999053 -.290937 2.35105
1.01 .071669 .05714 .958715 1.04427 -.329796 2.3953
1.1 .166425 .018866 .603291 1.37935 -.643468 2.76405
1.2 .320774 .004802 .289682 1.72051 -1.01328 3.14615
1.3 .4985 .001088 .003831 2.01882 -1.3039 3.48846
1.31 .516128 .000933 -.028229 2.04707 -1.32239 3.52099

∗ - gamma (Г) - log odds of differential assignment due to unobserved factors.

Note: The lowest critical values of gamma for Hodges-Lehmann point estimate and 95% CI including zero are bolded.

Source: Stata output, 2020.