Dear sir/madam,
I found a paper where the authors use a difference-in-difference approach and as a robustness check they interact all their control variables with their #post dummy. Could anyone explain if this is a common robustness check for difference-in-difference and what the rationale behind it is (instead of just adding the controls without interaction)?
I am referring to the following paper: Title: "When investors call for climate responsibility, how do mutual funds respond?", Authors: Ceccarelli , Ramelli & Wagner (2019), page 50.
Thank you very much in advance.
Kind regards,
Rudolf
Related Posts with Difference-in-difference robustness (all control variables interact with #post)
two notes when using twoway graph, by()Hi all, I'm making a graph (see below) that uses the twoway graph by() option. As you can see, beca…
Using stata to choose between tobit and double hurdle modelsHi Dear users of statalist forum, I am working on double hurdle model to specify factors affecting a…
Graph box over sex, side by side boxesHi folks, Apologies if this question is simple but I was trying to find a good solution. I want to…
Updated combomarginsplotGreetings, An updated combomarginsplot is now available on SSC (thanks Kit Baum!). This version has…
How to sum up (frequency and percentage) by group?Hello, I have a dataset like below. What I want to do is to group based on icd_code (first 3 digit…
Subscribe to:
Post Comments (Atom)
0 Response to Difference-in-difference robustness (all control variables interact with #post)
Post a Comment