spatt: spatt

In qte: Quantile Treatment Effects

spatt

Description

spatt computes the Average Treatment Effect on the Treated (ATT) using the method of Abadie (2005)

Usage

spatt(
  formla,
  xformla = NULL,
  t,
  tmin1,
  tname,
  data,
  w = NULL,
  panel = FALSE,
  idname = NULL,
  iters = 100,
  alp = 0.05,
  method = "logit",
  plot = FALSE,
  se = TRUE,
  retEachIter = FALSE,
  seedvec = NULL,
  pl = FALSE,
  cores = 2
)

Arguments

formla	The formula y ~ d where y is the outcome and d is the treatment indicator (d should be binary)
xformla	A optional one sided formula for additional covariates that will be adjusted for. E.g ~ age + education. Additional covariates can also be passed by name using the x paramater.
t	The 3rd time period in the sample (this is the name of the column)
tmin1	The 2nd time period in the sample (this is the name of the column)
tname	The name of the column containing the time periods
data	The name of the data.frame that contains the data
w	an additional vector of sampling weights
panel	Boolean indicating whether the data is panel or repeated cross sections
idname	The individual (cross-sectional unit) id name
iters	The number of iterations to compute bootstrap standard errors. This is only used if se=TRUE
alp	The significance level used for constructing bootstrap confidence intervals
method	The method for estimating the propensity score when covariates are included
plot	Boolean whether or not the estimated QTET should be plotted
se	Boolean whether or not to compute standard errors
retEachIter	Boolean whether or not to return list of results from each iteration of the bootstrap procedure
seedvec	Optional value to set random seed; can possibly be used in conjunction with bootstrapping standard errors.
pl	boolean for whether or not to compute bootstrap error in parallel. Note that computing standard errors in parallel is a new feature and may not work at all on Windows.
cores	the number of cores to use if bootstrap standard errors are computed in parallel

Value

QTE object

References

Abadie (2005)

Examples

##load the data
data(lalonde)

## Run the panel.qtet method on the experimental data with no covariates
att1 <- spatt(re ~ treat, t=1978, tmin1=1975, tname="year",
 x=NULL, data=lalonde.psid.panel, idname="id", se=FALSE)
summary(att1)

## Run the panel.qtet method on the observational data with no covariates

qte documentation built on Sept. 1, 2022, 5:05 p.m.