The formula y ~ d where y is the outcome and d is the
treatment indicator (d should be binary), d should be equal to one
in all time periods for individuals that are eventually treated
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. Treated individuals should
be treated in this time period and untreated individuals should not be
treated. The code attempts to enforce this condition, but it is good
try to handle this outside the panel.qtet method.
tmin1
The 2nd time period in the sample. This should be a
pre-treatment period for all individuals in the sample.
tname
The name of the column containing the time periods
data
A data.frame containing all the variables used
idname
The individual (cross-sectional unit) id name
probs
A vector of values between 0 and 1 to compute the QTET at
References
Fan, Yanqin and Zhengfei Yu. ``Partial Identification of Distributional
and Quantile Treatment Effects in Difference-in-Differences Models.''
Economics Letters 115.3, pp.511-515, 2012.
## load the datadata(lalonde)
## Run the bounds method with no covariatesb1 <- bounds(re ~ treat, t=1978, tmin1=1975, data=lalonde.psid.panel,
idname="id", tname="year")
summary(b1)