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data(turnout)
# estimation
z.out <- zelig(vote ~ race*age + educate + income,
model = "logit", data = turnout)
summary(z.out)
# first difference
x.low <- setx(z.out, educate = 12)
x.high <- setx(z.out, educate = 16)
s.out <- sim(z.out, x = x.low, x1 = x.high)
s.low <- sim(z.out, x=x.low)
s.high <- sim(z.out, x=x.high)
dif <- (s.high$qi$ev - s.low$qi$ev)
# second difference
x.low.low <- setx(z.out, educate = 12, age = 20)
x.low.high <- setx(z.out, educate = 12, age = 30)
x.high.low <- setx(z.out, educate = 16, age = 20)
x.high.high <- setx(z.out, educate = 16, age = 30)
s1 <- sim(z.out, x = x.low.low, x1 = x.low.high)
s2 <- sim(z.out, x = x.high.low, x1 = x.high.high)
did1 <- s1$qi$fd - s2$qi$fd
# or equivalent
s3 <- sim(z.out, x = x.low.low, x1 = x.high.low)
s4 <- sim(z.out, x = x.low.high, x1 = x.high.high)
did2 <- s3$qi$fd - s4$qi$fd
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It would be great if Zelig can do this directly though.
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