Dear all,
I am new to Stata and now experiencing some hard time dealing with the following problem:
I want to test the causality between firms' mergers & acquisitions (dummy variable M&A) and firms' innovation propensity (variable Innov). Basically I have a panel data which ranges from 1999 to 2007 and covers 200 firms. All observations are annual.
For me the best identification strategy is to implement both propensity score matching and Difference in differences approach.
My treatment group is composed of firms that experiences M&A, my control group is composed of those that didn't experience any MA.
My time indicator is before and after M&A . I want to compare the innovation scores 2 years before and after M&A.
However, the challenges are as follows:
1. In my treatment group (firms that experiences M&A) , the event dates are different for each firm.
2. I want to match treatment and control groups on several characteristics such as ROA, leverage, size. The idea is that in my Diff in diff analysis, I don't want to compare apples with oranges.
Hence I want to know how I can arrange my dataset, what dummy variables I should create and How can I combine propensity score matching and Difference in differences in Stata. I know there exists -diff- command, however I don't know how to apply it to the analysis involving different event dates.
After browsing several posts on diff in diff on the forum, I still cannot find a comprehensive and applicable answer. Therefore I decided to create a new post here.
Thanks in advance.
Best regards,
Luc
I am new to Stata and now experiencing some hard time dealing with the following problem:
I want to test the causality between firms' mergers & acquisitions (dummy variable M&A) and firms' innovation propensity (variable Innov). Basically I have a panel data which ranges from 1999 to 2007 and covers 200 firms. All observations are annual.
For me the best identification strategy is to implement both propensity score matching and Difference in differences approach.
My treatment group is composed of firms that experiences M&A, my control group is composed of those that didn't experience any MA.
My time indicator is before and after M&A . I want to compare the innovation scores 2 years before and after M&A.
However, the challenges are as follows:
1. In my treatment group (firms that experiences M&A) , the event dates are different for each firm.
2. I want to match treatment and control groups on several characteristics such as ROA, leverage, size. The idea is that in my Diff in diff analysis, I don't want to compare apples with oranges.
Hence I want to know how I can arrange my dataset, what dummy variables I should create and How can I combine propensity score matching and Difference in differences in Stata. I know there exists -diff- command, however I don't know how to apply it to the analysis involving different event dates.
After browsing several posts on diff in diff on the forum, I still cannot find a comprehensive and applicable answer. Therefore I decided to create a new post here.
Thanks in advance.
Best regards,
Luc
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