QTE: qte: A package for computating quantile treatment effects

In qte: Quantile Treatment Effects

qte: A package for computating quantile treatment effects

Description

Main class of objects. A QTE object is returned by all of the methods that compute the QTE or QTET.

Usage

QTE(
  qte,
  ate = NULL,
  qte.se = NULL,
  qte.lower = NULL,
  qte.upper = NULL,
  ate.se = NULL,
  ate.lower = NULL,
  ate.upper = NULL,
  c = NULL,
  pscore.reg = NULL,
  probs,
  type = "On the Treated",
  F.treated.t = NULL,
  F.untreated.t = NULL,
  F.treated.t.cf = NULL,
  F.treated.tmin1 = NULL,
  F.treated.tmin2 = NULL,
  F.treated.change.tmin1 = NULL,
  F.untreated.change.t = NULL,
  F.untreated.change.tmin1 = NULL,
  F.untreated.tmin1 = NULL,
  F.untreated.tmin2 = NULL,
  condQ.treated.t = NULL,
  condQ.treated.t.cf = NULL,
  eachIterList = NULL,
  inffunct = NULL,
  inffuncu = NULL
)

Arguments

qte	The Quantile Treatment Effect at each value of probs
ate	The Average Treatment Effect (or Average Treatment Effect on the Treated)
qte.se	A vector of standard errors for each qte
qte.lower	A vector of lower confidence intervals for each qte (it is based on the bootstrap confidence interval – not the se – so it may not be symmyetric about the qte
qte.upper	A vector of upper confidence intervals for each qte (it is based on the bootstrap confidence interval – not the se – so it may not be symmetric about the qte
ate.se	The standard error for the ATE
ate.lower	Lower confidence interval for the ATE (it is based on the bootstrap confidence intervall – not the se – so it may not be symmetric about the ATE
ate.upper	Upper confidence interval for the ATE (it is based on the bootstrap confidence interval – not the se – so it may not be symmetric about the ATE
c	The critical value from a KS-type statistic used for creating uniform confidence bands
pscore.reg	The results of propensity score regression, if specified
probs	The values for which the qte is computed
type	Takes the values "On the Treated" or "Population" to indicate whether the estimated QTE is for the treated group or for the entire population
F.treated.t	Distribution of treated outcomes for the treated group at period t
F.untreated.t	Distribution of untreated potential outcomes for the untreated group at period t
F.treated.t.cf	Counterfactual distribution of untreated potential outcomes for the treated group at period t
F.treated.tmin1	Distribution of treated outcomes for the treated group at period tmin1
F.treated.tmin2	Distribution of treated outcomes for the treated group at period tmin2
F.treated.change.tmin1	Distribution of the change in outcomes for the treated group between periods tmin1 and tmin2
F.untreated.change.t	Distribution of the change in outcomes for the untreated group between periods t and tmin1
F.untreated.change.tmin1	Distribution of the change in outcomes for the untreated group between periods tmin1 and tmin2
F.untreated.tmin1	Distribution of outcomes for the untreated group in period tmin1
F.untreated.tmin2	Distribution of outcomes for the untreated group in period tmin2
condQ.treated.t	Conditional quantiles for the treated group in period t
condQ.treated.t.cf	Counterfactual conditional quantiles for the treated group in period t
eachIterList	An optional list of the outcome of each bootstrap iteration
inffunct	The influence function for the treated group; used for inference when there are multiple periods and in the case with panel data. It is needed for computing covariance terms in the variance-covariance matrix.
inffuncu	The influence function for the untreated group

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