Question

我有面板数据，我正在应用倾向得分匹配。我使用CBPS包中的以下代码估算了完整样本的模型。

form1 <- (treat ~ X)
fit <- CBPS(formula=form1, data = paper1, time=year, id= bankid, ATT = TRUE)

我想现在每年单独匹配。我为此目的使用if条件，并且我运行了以下代码。

if (year==2001){
m.out1 <- matchit(t1 ~ fitted(fit), method = "nearest", data = paper1, replace = TRUE)
}

但是，会生成以下警告。

警告讯息：在if（year == 2001）{：条件的长度> 1，只使用第一个元素

我如何执行所需的任务？

我已经用Blackwell数据集复制了这个问题。完整代码如下： - 数据集中有时间ID。如果时间等于1，我想匹配。我已经在完整样本上运行模型。

library(CBPS)
data("Blackwell")
attach(Blackwell)
form1<-"d.gone.neg ~ d.gone.neg.l1 + d.gone.neg.l2 + d.neg.frac.l3 + camp.length + camp.length + deminc + base.poll + year.2002 + year.2004 + year.2006 + base.und + office"
fit <- CBPS(formula=form1, data = Blackwell, time=time, id= demName, ATT = TRUE)
m.out <- matchit(d.gone.neg ~ fitted(fit), method = "nearest", data = Blackwell, replace = TRUE)
summary(m.out)
if (time==1){
m.out1 <- matchit(d.gone.neg ~ fitted(fit), method = "nearest", data = Blackwell, replace = TRUE)
}

Answer 1

if (!require("pacman")) install.packages("pacman")

pacman::p_load(CBPS, RRF)
data("Blackwell")
attach(Blackwell)

Blackwell$year <- NA
Blackwell$year[Blackwell$year.2002 == 1] <- 2002
Blackwell$year[Blackwell$year.2004 == 1] <- 2004
Blackwell$year[Blackwell$year.2006 == 1] <- 2006
Blackwell$year.2002 <- NULL
Blackwell$year.2004 <- NULL
Blackwell$year.2006 <- NULL

Blackwell <- na.roughfix(Blackwell)

form1<-"d.gone.neg ~ d.gone.neg.l1 + d.gone.neg.l2 + d.neg.frac.l3 + camp.length + camp.length + deminc + base.poll + year.2002 + year.2004 + year.2006 + base.und + office"
fit <- CBPS(formula=form1, data = Blackwell, time=time, id= demName, ATT = TRUE)
m.out <- matchit(d.gone.neg ~ fitted(fit), method = "nearest", data = Blackwell, replace = TRUE)
summary(m.out)


m.out1 <- list()
n      <- 0

for(i in unique(Blackwell$year)){
  n      <- n+1
  tmp <- matchit(d.gone.neg ~ fitted(fit)[Blackwell$year == i], method = "nearest", data = Blackwell[Blackwell$year == i,], replace = TRUE)
  nam <- paste("matchit_", i, sep = "")
  assign(nam, tmp)
}

Answer 2

我已经用Blackwell数据集复制了这个问题。完整的代码如下： - 数据集中有时间ID。如果时间等于1，我想匹配。我已经在完整样本上运行模型了。

library(CBPS)
data("Blackwell")
attach(Blackwell)
form1<-"d.gone.neg ~ d.gone.neg.l1 + d.gone.neg.l2 + d.neg.frac.l3 + camp.length + camp.length + deminc + base.poll + year.2002 + year.2004 + year.2006 + base.und + office"
fit <- CBPS(formula=form1, data = Blackwell, time=time, id= demName, ATT = TRUE)
m.out <- matchit(d.gone.neg ~ fitted(fit), method = "nearest", data = Blackwell, replace = TRUE)
summary(m.out)
if (time==1){
m.out1 <- matchit(d.gone.neg ~ fitted(fit), method = "nearest", data = Blackwell, replace = TRUE)
}

警告讯息：在if（time == 1）{：条件的长度> 1，只使用第一个元素

如何迭代运行模型

2 个答案: