E.Y0 | R Documentation |
a function for computing the conditional expectation of Y_0t given particular value of y_tmin1 under the Copula Stability Assumption
E.Y0(ytmin1val, Y0tmin1, Y0tmin2, Y0tqteobj, h = NULL, method = "level")
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 |
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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.