Skip to main content
. Author manuscript; available in PMC: 2019 Jan 24.
Published in final edited form as: J R Stat Soc Ser C Appl Stat. 2016 Jun 27;66(1):159–185. doi: 10.1111/rssc.12158

Table 7. Operating characteristics of the Bayesian estimator (posterior mean) of the treatment effect (ψ) as a function of the strength of the IV (λ).

Sample size (n) True correlation (ρGEN) Treatment effect (true ψ= -.5) IV effect (λ)
0 .5 1.0 2.0
1000 0 Bias .043 .021 -.025 .002
MSE
.692 .549 .347 .176
Coverage (%) 93 92 92 93
.2 Bias .293 .060 -.005 .015
MSE
.750 .546 .304 .161
Coverage (%) 91 98 97 97
.5 Bias .426 .142 .012 -.030
MSE
.762 .493 .260 .163
Coverage (%) 93 97 96 96

5000 0 Bias .050 -.011 -.015 .003
MSE
.483 .316 .148 .074
Coverage (%) 87 84 93 95
.2 Bias .338 .011 .012 -.005
MSE
.599 .261 .140 .073
Coverage (%) 77 94 95 99
.5 Bias .386 .020 .001 -.014
MSE
.609 .211 .125 .077
Coverage (%) 78 95 93 94

Note: The vague prior for ρ with E[ρ] = 0 and Var[ρ] = .33 is used.