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Up on Saturday morning at #ASSA2025. : Day 2 of reproducibility tutorial by data editors. Any input to the topic? Answer our survey: More at

#ASSA2025.If you want to influence (a bit) on what we present in our Tutorial on Reproducibility (DAY 1) FRIDAY 8:00 AM , do fill out this survey: . Results: live tomorrow morning! For more info,

Come on up with your coffee, bring your questions. #2024APPAM.

Happening today! #2024APPAM Room National Harbor 1 at 1:00pm.

RT @AeaData: #AMA #dataeditortips If you missed us so far, .@larsvil will be at #2024APPAM. on Saturday Nov 23 for a Q&A session. Happy to….

argh. 👉➡️5:30PM - 6:30 PM ⬅️👈 . 125 E Street NW, Washington DC . See you there AT THE RIGHT TIME. .

@APPAM_DC @SouthernEconJ @ecmaEditors @InquiryWEAI @JoanLlull_econ @FarasatBokhari Note: Posting only, all interactions at

@APPAM_DC @SouthernEconJ @ecmaEditors @InquiryWEAI @JoanLlull_econ @FarasatBokhari.

Thx to GtownU & Amy O'Hara, we have a space for Friday Nov 22: 125 E Street NW, 9th floor Convening Space Meet w/ me, Joan Llull ECTA & Farasat Bokhari WEAI to learn&ask about best practices in preparing replication packages.#2024APPAM.#2024SEA.

#AMA #dataeditortips If you missed us so far, .@larsvil will be at #2024APPAM. on Saturday Nov 23 for a Q&A session. Happy to answer all sorts of questions, just drop in, ask, listen. #WashingtonDC . For more info,

Here's a soapbox post #dataeditortips :. Copy code once, fine, don’t do it again. Copy 2x, stop, and create a function. Copy 3x: don’t even go there!😠. Details and follow up at

If you missed us so far, @larsvil.bsky.social will be at #weai2024 #weai99 in #seattle on Mon Jul 1, 2024 | 8:15 AM - 10:00 AM. Happy to answer questions afterwards as well. #dataeditortips

Forgot to mention - not an #AMA but a tutorial/workshop on reproducibility (from day 1, and overall) at CEA annual conference #CEA2024 #toronto - come by Saturday morning June 1 8:30 AM (with Marie Connolly @CanJEcon).

We strongly encourage you to always be very clear about how, where, and when you collect your data. Data provenance is important, even if the actual data collection is not itself reproducible. #dataeditortips.

This is non-trivial (and I don't claim to have the answers to all questions, since some are still before the courts. ) but read the rest here:. n/n.

You are happily browsing along the internet. A fabulous dataset for your awesome idea. Download, analyze, submit, publish, … 👍. But then the pesky journal asks for a replication package. Easy, 🤔 Wrap up the code, the data, upload, … all good? Possibly not. 4/n.

The devil is in the details. 3/n.

Many researchers are confused by the difference between “use” and “(re-)distribution” of data. In a nutshell, just because you are able to freely use the data for your own research purposes does not give you the right to distribute the data to others. 2/n.