Linked Questions

3 votes
1 answer
6k views

Long-term event study vs. difference-in-differences (DID) analysis

I am trying to understand the differences between event studies and DiD analysis. In particular, if I want to estimate the specific effect of an event like certification adoption, CEO appointment, or ...
Matteo's user avatar
  • 63
3 votes
1 answer
2k views

Is there any common way to do pre-trend analysis for generalized Difference in Difference?

The generalized difference-in-differences (DiD) estimator is DiD with multiple time periods and multiple groups. A very common example is when the impact of laws on firms happens at different times, ...
Phil Nguyen's user avatar
7 votes
2 answers
2k views

Staggered difference-in-difference with continuous treatment

I want to estimate a staggered difference-in-difference (DD) with continuous treatment. The data looks something like this: $$ \begin{array}{ccc} Individual & year & CT_{i,t} \\ \hline 1 &...
TeTs's user avatar
  • 899
1 vote
1 answer
1k views

A doubt on different ways of performing staggered DID?

Recently, I read two papers by Dasgupta,2019 and Dong,2019 examining the impact of staggered laws in different dependent variables. When having a really long discussion with people in the comment ...
Phil Nguyen's user avatar
4 votes
1 answer
333 views

Is there any justification for using an unbalanced window in difference-in-difference analyses?

In some difference-in-differences analyses, is there any common rule for how many "lead" and "lag" years around the event that we should use? For example, in some papers, I saw the ...
Phil Nguyen's user avatar
2 votes
1 answer
499 views

What is the reasonable approach to deal with DiD for multiple time periods and groups? (staggered DiD)

Two-way fixed effect (TWFE) has been used for 2 decades for examining the change of some particular objectives after an event, or "generalized Difference-in-Differences (DiD)". However, ...
Phil Nguyen's user avatar
1 vote
1 answer
277 views

How to explain the coefficient plotting as pre-trend stability testing for generalized Difference-in-Differences?

Proving the pre-trend parallel is hard in generalized DiD. From this post, Thomas Bilach suggests me a very excellent way to do so which is called "coefficient plotting" In short, it can be ...
Phil Nguyen's user avatar
3 votes
1 answer
108 views

Concerns about pre-trend stability testing

In this discussion, @Thomas Bilach well explains the equation to test pre-trend stability. $$ y_{kt} = \alpha_k + \lambda_t + \delta_{-2} d_{k,t-2} + \delta_{-1} d_{k,t-1} + \delta d_{kt} + \delta_{+1}...
Phil Nguyen's user avatar
1 vote
0 answers
123 views

Confusing about the pre-trend test suggested by Goodman-Bacon, 2019's note?

Goodman, 2019 is a very famous paper decomposing the coefficients of staggered DiD. Here I do not talk about the paper itself, I talk about the note accompanying with this paper. Pre-trend testing ...
Phil Nguyen's user avatar
1 vote
1 answer
43 views

What should we conclude when the significance levels are different but the signs are similar among coefficients on a variable of interest?

I assessing the impact of anti-collusion laws on dependent variables $Y_{it}$ across the country by using generalized DiD. The identification is: $Y_{it}$ = $\alpha$ + $\beta$ $(pt)_{kt}$ + $\delta$$...
Phil Nguyen's user avatar