Event-study

graphs generated with the did_multiplegt_dyn Stata, R, or Python package

Paper title Authors Link to the paper (published version if it is published) Is the paper published?

Yes No

Number of the figure where the event-study graph you are submitting can be found in the paper. The main take away from your event-study graph in one sentence (less than 20 words): will be the title of the page on which your graph appears. E.g.: X has a positive effect on Y

0 / 20 words

Slightly longer description of your event-study graph: what's the treatment? in which country? who is affected? what's the design of your study and what is the identifying variation you leverage (binary treatment with staggered adoption, continuous treatment, etc)? what data have you used? what are the results and how you interpret them? do you have pre-trends? (no more than 150 words)

0 / 150 words

Is your treatment binary, discrete, or continuous (each unit has a different value of the treatment)?

Binary Discrete Continuous

Can units' treatment change at most once over the study period or can units experience multiple treatment changes?

At most one change, and that change can only be an increase (e.g. from a treatment of zero to a treatment of one) At most one change, and for some units that change is an increase, while for other units it is a decrease Units can experience multiple treatment changes, but those changes can only be increases Units can experience multiple treatment changes, and those changes can be increases or decreases

How many values does the treatment take at the first time period in your data?

One value: all units have the same treatment at period one Two values Three or more values

Copy-paste the line of code running did_multiplegt_dyn that you ran to generate the event-study graph you submit. Code language

Stata R Python

Number of switchers for effect 1 N for effect 1

CSV Data

Required columns: time_to_treatment, coefficient, standard_error

Click to upload CSV or TSV file

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