Difference between revisions of "Ieddtab"
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== Intended use cases == | == Intended use cases == | ||
The intended use case is when you are using a [[Difference-in-Difference]] model for your analysis and you want to output your results in well formatted tables. This command is particularly suited for the case when you run the same difference-in-difference regression on multiple outcome variables. | |||
=== Intended Work Flow === | === Intended Work Flow === | ||
'' | The workflow for ''ieddtab'' is as simple as possible. You do not need to run any regression yourself before using this command. You only need to have one dummy variable that indicates which observations are treatment and which are control, and a dummy variable that indicates which observations are from baseline and which are from the follow-up/endline. The command creates the interaction dummy needed, run the regressions as well as outputs the table with the results. | ||
== Instructions == | == Instructions == |
Revision as of 22:24, 20 November 2018
ieddtab is used to run difference in difference regressions and output the results in well formatted tables.
This article is meant to describe use cases, work flow and the reasoning used when developing the commands. For instructions on how to use the command specifically in Stata and for a complete list of the options available, see the help files by typing help ieddtab
in Stata. This command is a part of the package ietoolkit, to install all the commands in this package including this command, type ssc install ietoolkit
in Stata.
Intended use cases
The intended use case is when you are using a Difference-in-Difference model for your analysis and you want to output your results in well formatted tables. This command is particularly suited for the case when you run the same difference-in-difference regression on multiple outcome variables.
Intended Work Flow
The workflow for ieddtab is as simple as possible. You do not need to run any regression yourself before using this command. You only need to have one dummy variable that indicates which observations are treatment and which are control, and a dummy variable that indicates which observations are from baseline and which are from the follow-up/endline. The command creates the interaction dummy needed, run the regressions as well as outputs the table with the results.
Instructions
These instructions are meant to help you understand how to use the command. For technical instructions on how to implement the command in Stata see the help files by typing help ieddtab
in Stata.
Describe best practices related to this command here.
Reasoning used during development
Describe any non obvious decisions made during development of this command. This can help explain restrictions and requirements
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This article is part of the topic ietoolkit