att.cumu: Calculate Cumulative Treatment Effects

In xuyiqing/fect: Fixed Effects Counterfactual Estimators

Calculate Cumulative Treatment Effects

Description

Calculate cumulative treatment effects based on the results of a fect object.

Usage

att.cumu(x, period = NULL, weighted = TRUE, alpha = 0.05, type = "on", plot = FALSE)

Arguments

x	A fect object.
period	A two-element numeric vector specifying the range of terms during which treatment effects are to be accumulated, e.g., period = c(-1, 1).
weighted	A logical flag specifying whether to calculate weighted cumulative treatment effects based on counts at each period. Default is TRUE.
alpha	A numerical value specifying the significance level. Default is 0.05.
type	A string that specifies the type of effect to calculate. Must be one of the following: "on" (switch-on treatment effect) or "off" (switch-off treatment effect). Default is "on".
plot	A logical flag indicating whether to plot cumulative effects. Default is FALSE.

Author(s)

Licheng Liu, Ye Wang, and Yiqing Xu

References

Athey, S., Bayati, M., Doudchenko, N., Imbens, G., and Khosravi, K. (2021). Matrix completion methods for causal panel data models. Journal of the American Statistical Association, 116(536), 1716-1730.

Bai, J. (2009). Panel data models with interactive fixed effects. Econometrica, 77(4), 1229-1279.

Liu, L., Wang, Y., and Xu, Y. (2022). A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data. American Journal of Political Science, 68(1), 160-176.

Xu, Y. (2017). Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models. Political Analysis, 25(1), 57-76.

See Also

fect, plot.fect

xuyiqing/fect documentation built on April 12, 2025, 9:50 p.m.