AGGTEobj: AGGTEobj

Description Usage Arguments Value

View source: R/AGGTEobj.R

Description

Objects of this class hold results on aggregated group-time average treatment effects

An object for holding aggregated treatment effect parameters.

Usage

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
AGGTEobj(
  overall.att = NULL,
  overall.se = NULL,
  type = "simple",
  egt = NULL,
  att.egt = NULL,
  se.egt = NULL,
  crit.val.egt = NULL,
  inf.function = NULL,
  min_e = NULL,
  max_e = NULL,
  balance_e = NULL,
  call = NULL,
  DIDparams = NULL
)

Arguments

overall.att

The estimated overall ATT

overall.se

Standard error for overall ATT

type

Which type of aggregated treatment effect parameter to compute. One option is "simple" (this just computes a weighted average of all group-time average treatment effects with weights proportional to group size). Other options are "dynamic" (this computes average effects across different lengths of exposure to the treatment and is similar to an "event study"; here the overall effect averages the effect of the treatment across all positive lengths of exposure); "group" (this is the default option and computes average treatment effects across different groups; here the overall effect averages the effect across different groups); and "calendar" (this computes average treatment effects across different time periods; here the overall effect averages the effect across each time period).

egt

Holds the length of exposure (for dynamic effects), the group (for selective treatment timing), or the time period (for calendar time effects)

att.egt

The ATT specific to egt

se.egt

The standard error specific to egt

crit.val.egt

A critical value for computing uniform confidence bands for dynamic effects, selective treatment timing, or time period effects.

inf.function

The influence function of the chosen aggregated parameters

min_e

For event studies, this is the smallest event time to compute dynamic effects for. By default, min_e = -Inf so that effects at all lengths of exposure are computed.

max_e

For event studies, this is the largest event time to compute dynamic effects for. By default, max_e = Inf so that effects at all lengths of exposure are computed.

balance_e

If set (and if one computes dynamic effects), it balances the sample with respect to event time. For example, if balance.e=2, aggte will drop groups that are not exposed to treatment for at least three periods. (the initial period when e=0 as well as the next two periods when e=1 and the e=2). This ensures that the composition of groups does not change when event time changes.

call

The function call to aggte

DIDparams

A DIDparams object

Value

an AGGTEobj


did documentation built on Jan. 28, 2022, 1:06 a.m.