prepare_data: prepare_data The calculation of point estimates and standard...

In PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Sectional Data

prepare_data The calculation of point estimates and standard errors first requires the calculation of a variety of different weights, parameters, and indicator variables. This function prepares the data within PanelEstimate() such that the estimates can be calculated easily. In practical terms, the function calls the lower level helpers to calculate W_its and D_its as described in Imai et al. (2023) and merges those results together with the original data to facilitate calculations.

Description

prepare_data The calculation of point estimates and standard errors first requires the calculation of a variety of different weights, parameters, and indicator variables. This function prepares the data within PanelEstimate() such that the estimates can be calculated easily. In practical terms, the function calls the lower level helpers to calculate W_its and D_its as described in Imai et al. (2023) and merges those results together with the original data to facilitate calculations.

Usage

prepare_data(
  data.in,
  lead,
  sets.att = NULL,
  sets.atc = NULL,
  qoi.in,
  dependent.variable
)

Arguments

data.in	data.frame: the data to be used in the analysis
lead	See PanelMatch() documentation
sets.att	matched.set object containing ATT or ART matched sets.
sets.atc	matched.set object containing ATC matched sets.
qoi.in	See PanelMatch() documentation
dependent.variable	string specifying the outcome/dependent variable.

Value

data.frame with the results of the lower level calculations

PanelMatch documentation built on June 22, 2024, 10:32 a.m.