did_linear: Compute the DiD Estimator with a Linear Model

In FrankLef/fciR: Data and functions used with Fundamentals of Causal Inference by Babette Brumback

Compute the DiD Estimator with a Linear Model

Description

Compute the DiD Estimator with a linear model.

Usage

did_linear(
  data,
  formula,
  exposure.name,
  confound.names,
  names_to = "var",
  timevar = "time"
)

didlinear(
  data,
  formula,
  exposure.name,
  confound.names,
  names_to = "var",
  timevar = "time"
)

Arguments

data	Dataframe of raw data.
formula	Formula representing the model.
exposure.name	Name of exposure variable.
confound.names	Names of the confound variables.
names_to	Name that will be used for the name variable.
timevar	Name that will be used for the time variable.

Details

The DiD Estimator using the scripts from section 7.2, p. 141-142.

Value

Dataframe in a useable format for rsample::bootstraps.

Source

Section 7.1.1

See Also

did_longer

Examples

# An example can be found in the location identified in the
# source section above at the github site
# https://github.com/FrankLef/FundamentalsCausalInference.

FrankLef/fciR documentation built on Nov. 12, 2023, 6:09 a.m.