bsal {ovbsa} | R Documentation |
basic sensitivity analysis of omitted variable bias
Description
basic sensitivity analysis of omitted variable bias
Usage
bsal(kd, ky, alpha, data, outcome, treatment, bnch_reg, other_reg)
Arguments
kd |
sensitivity parameter kD (scalar) |
ky |
sensitivity parameter kY (scalar) |
alpha |
significance level for hypothesis test (e.g. 0.05) |
data |
data frame for analysis |
outcome |
name of outcome variable |
treatment |
name of treatment variable |
bnch_reg |
name(s) of benchmark covariate(s) |
other_reg |
name(s) of other regressors |
Value
a matrix with following rows for case 1, 2 and 3 (in columns):
r2yd.x |
partial R2 of Y on D conditioning on X |
r2dz.x |
partial R2 of D on Z conditioning on X |
r2yz.dx |
partial R2 of Y on Z conditioning on D and X |
estimate |
unadjusted parameter estimate |
adjusted_estimate |
bias-adjusted parameter estimate |
adjusted_se |
bias-adjusted standard error |
adjusted_lower_CI |
bias-adjusted confidence interval lower boundary |
adjusted_upper_CI |
bias-adjusted confidence interval upper boundary |
Examples
require("sensemakr")
Y <- "peacefactor"
D <- "directlyharmed"
X <- "female"
X_oth <- c("village","age","farmer_dar","herder_dar","pastvoted","hhsize_darfur")
res1 <- bsal(kd=1,ky=1,alpha=0.05,data=darfur,outcome=Y,treatment=D,bnch_reg=X,other_reg=X_oth)
[Package ovbsa version 2.0.0 Index]