Difference between revisions of "Event Study"

Jump to: navigation, search
m
Line 2: Line 2:


== Read First ==
== Read First ==
Include here key points you want to make sure all readers understand
An event study is a statistical method to assess the impact of an event on an outcome of interest. It can be used as a descriptive tool to describe the dynamic of the outcome of interest before and after the event or in combination regression discontinuity techniques around the time of the event to evaluate its impact. This method has been used mainly in finance to study the impact of specific events on firms value, as it relies on having high frequency data.


== Guidelines ==
===As a descriptive tool===
Graphically, an event study will represent one or more time serie before and after the event. For example,
=== Combined with RDD===


== Guidelines ==
Organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details
===Subsection 1===
===Subsection 2===
===Subsection 3===


== Back to Parent ==
== Back to Parent ==

Revision as of 17:59, 21 November 2017


Read First

An event study is a statistical method to assess the impact of an event on an outcome of interest. It can be used as a descriptive tool to describe the dynamic of the outcome of interest before and after the event or in combination regression discontinuity techniques around the time of the event to evaluate its impact. This method has been used mainly in finance to study the impact of specific events on firms value, as it relies on having high frequency data.

Guidelines

As a descriptive tool

Graphically, an event study will represent one or more time serie before and after the event. For example,

Combined with RDD

Back to Parent

This article is part of the topic Impact Evaluation Design


Additional Resources

Please add here links to existing resources