Description Usage Arguments Examples
a function for computing the conditional expectation of Y_0t given particular value of y_tmin1 under the Copula Stability Assumption
1 |
ytmin1val |
the value to compute the conditional expectation for |
Y0tmin1 |
a vector of untreated potential outcomes for the treated group in period t-1 |
Y0tmin2 |
a vector of untreated potential outcomes for the treated group in period t-2 |
Y0tqteobj |
a qte object which should have set F.treated.t.cf which is the counterfactual distribution of untreated potential outcomes for the treated group in period t |
h |
optional bandwidth paramater |
method |
can be "level" or "rank", whether the conditional expectation is based on the level of Y0tmin1 or its rank |
1 2 3 4 5 6 7 8 9 10 11 | data(displacements)
ytmin1 <- 10
Y0tmin1 <- subset(displacements, year==2007 & treat==1)$learn
Y0tmin2 <- subset(displacements, year==2003 & treat==1)$learn
cc <- qte::CiC(learn ~ treat,
t=2011, tmin1=2007, tname="year",
idname="id", panel=TRUE, data=displacements,
probs=seq(.05,.95,.01),se=FALSE)
cc$F.treated.tmin2 <- ecdf(subset(displacements, year==2003 & treat==1)$learn)
cc$F.treated.tmin1 <- ecdf(subset(displacements, year==2007 & treat==1)$learn)
E.Y0(ytmin1, Y0tmin1, Y0tmin2, cc)
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