Nothing
## ---- echo = FALSE------------------------------------------------------------
knitr::opts_chunk$set(
fig.width = 7,
fig.height = 4,
fig.align = "center",
# cache = TRUE,
autodep = TRUE
)
## -----------------------------------------------------------------------------
library(Synth)
data(basque)
library(MSCMT)
Basque <- listFromLong(basque, unit.variable="regionno", time.variable="year", unit.names.variable="regionname")
school.sum <- with(Basque,colSums(school.illit + school.prim + school.med + school.high + school.post.high))
Basque$school.higher <- Basque$school.high + Basque$school.post.high
for (item in c("school.illit", "school.prim", "school.med", "school.higher"))
Basque[[item]] <- 6 * 100 * t(t(Basque[[item]]) / school.sum)
## -----------------------------------------------------------------------------
treatment.identifier <- "Basque Country (Pais Vasco)"
controls.identifier <- setdiff(colnames(Basque[[1]]),
c(treatment.identifier, "Spain (Espana)"))
times.dep <- cbind("gdpcap" = c(1960,1969))
times.pred <- cbind("school.illit" = c(1964,1969),
"school.prim" = c(1964,1969),
"school.med" = c(1964,1969),
"school.higher" = c(1964,1969),
"invest" = c(1964,1969),
"gdpcap" = c(1960,1969),
"sec.agriculture" = c(1961,1969),
"sec.energy" = c(1961,1969),
"sec.industry" = c(1961,1969),
"sec.construction" = c(1961,1969),
"sec.services.venta" = c(1961,1969),
"sec.services.nonventa" = c(1961,1969),
"popdens" = c(1969,1969))
agg.fns <- rep("mean", ncol(times.pred))
## -----------------------------------------------------------------------------
res <- mscmt(Basque, treatment.identifier, controls.identifier, times.dep, times.pred, agg.fns, seed=1, single.v=TRUE, verbose=FALSE)
res
## -----------------------------------------------------------------------------
times.pred <- times.pred[,-6]
agg.fns <- rep("mean", ncol(times.pred))
res2 <- mscmt(Basque, treatment.identifier, controls.identifier, times.dep, times.pred, agg.fns, seed=1, single.v=TRUE, verbose=FALSE)
res2
## -----------------------------------------------------------------------------
agg.fns <- rep("id", ncol(times.pred)) # Omitting agg.fns has the same effect (as "id" is the default)
res3 <- mscmt(Basque, treatment.identifier, controls.identifier, times.dep, times.pred, agg.fns, seed=1, single.v=TRUE, verbose=FALSE)
res3
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