Stacked Event Study at Harley Harris blog

Stacked Event Study. We start by analyzing a basic stacked event study regression that is saturated in both event time and treatment status and is fit to stacked data. The idea originally appears in two applied. Event study results in a way that is closer to raw data, pooling event study coefficients or using splines over event times. Stackedev implements the stacked event study estimator discussed in cunningham (2021) and baker (2021) and implemented in cengiz et al. A stacked did or stacked event study is a way to analyze data from a staggered adoption design.

Information about the data analyzed in this study. (A) Stacked
from www.researchgate.net

Stackedev implements the stacked event study estimator discussed in cunningham (2021) and baker (2021) and implemented in cengiz et al. Event study results in a way that is closer to raw data, pooling event study coefficients or using splines over event times. A stacked did or stacked event study is a way to analyze data from a staggered adoption design. The idea originally appears in two applied. We start by analyzing a basic stacked event study regression that is saturated in both event time and treatment status and is fit to stacked data.

Information about the data analyzed in this study. (A) Stacked

Stacked Event Study Stackedev implements the stacked event study estimator discussed in cunningham (2021) and baker (2021) and implemented in cengiz et al. We start by analyzing a basic stacked event study regression that is saturated in both event time and treatment status and is fit to stacked data. A stacked did or stacked event study is a way to analyze data from a staggered adoption design. The idea originally appears in two applied. Event study results in a way that is closer to raw data, pooling event study coefficients or using splines over event times. Stackedev implements the stacked event study estimator discussed in cunningham (2021) and baker (2021) and implemented in cengiz et al.

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