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Prikvačeni tweet
Here is something I do not quite follow: Why do people almost always refer to two-way fixed effects (TWFE) models as synonymous to Difference-in-Differences (DID)?? TWFE is an *estimation method*, while DID is a *research design*. These are very different things!pic.twitter.com/80FbCS8IeW
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Pedro H. C. Sant'Anna proslijedio/la je Tweet
In case others here were interested: The R package by Shea & Torgovitsky for "Using IVs for Inference About Policy Relevant Treatment Parameters" (Mogstad, Santos, Torgovitsky) has arrived R: https://github.com/jkcshea/ivmte Doc: https://a-torgovitsky.github.io/shea-torgovitsky.pdf …
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Overall, that is a really cool paper, full of new ideas that can be used in many other setups!! Gret job,
@mattmasten and Alex! We are now waiting for your R package so we can use these tools in our papers! 9/9 endpic.twitter.com/2O3BBmVj0kPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
They illustrate how these four ways of salvaging falsified models can be used in practice by analyzing two IV models:(a) one with homogeneous treatment effects (classical IV setup); (b) one with heterogeneous treatment effects. They apply these results to 4 empirical studies 8/9pic.twitter.com/E4UiBdxN0N
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4 - As a sensitivity analysis, you can present identified sets for points beyond the falsification frontier. This is interesting because, although the points on the falsification frontier are consistent with the data, this does not mean one of them is true. Cautious Optimism 7/9pic.twitter.com/AfCIRZlouF
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3 - You can report a specific point at the falsification frontier. This is like "zooming" at particular point of the falsification frontier. Say, the point where you keep one assumption fixed at the baseline, and relax the other until the model is consistent with the data. 6/9pic.twitter.com/PK8bNde6Mb
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2 - You can report the identified set for the parameter of interest assuming that the true model lies somewhere on the falsification frontier. This is like getting the "most informative" set of parameters that are consistent with the observed data. 5/9pic.twitter.com/q5Zt3QFvyz
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1 - You can report the falsification frontier. The idea of the falsification frontier is to relax the assumptions "little-by-little" until your model is consistent with the observed data. If you strengthen the assumption a bit more...bang..you're back to square one. 4/9pic.twitter.com/4K2mza5spV
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Matt and Alex propose four constructive answer to the "what should I do" question. I try to describe these below. 3/9pic.twitter.com/NJDySKB6Fs
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The idea of the paper is pretty cool. It goes like this. In many situations, our econometric model has some testable/refutable implications. We then move on and test them, and sometimes we reject these implications. So what should we do next? 2/9pic.twitter.com/aYLTRZfvsn
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It's late but still Monday, so here we go with the Econometrics paper of the week! This time I'd like to highlight "Salvaging Falsified Instrumental Variable Models", by Matt Masten (
@mattmasten) and Alex Poirier. Link: https://arxiv.org/pdf/1812.11598.pdf … 1/9Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Pedro H. C. Sant'Anna proslijedio/la je Tweet
Since
@pedrohcgs indirectly roped me into this conversation, I'll add a few thoughts here. 1/15https://twitter.com/causalinf/status/1221492666887786497 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Pedro H. C. Sant'Anna proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Pedro H. C. Sant'Anna proslijedio/la je Tweet
Vanessa has gained 2 beautiful angels

May their legacy stay alive forever
RIP Kobe & Gianna

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Pedro H. C. Sant'Anna proslijedio/la je Tweet
Sometimes when I'm really lacking in courage because of anxiety or whatever, I will put on this video. It's the last three minutes of Kobe's last game, the greatest retirement game by any athlete ever. Everyone should watch it.https://www.youtube.com/watch?v=y64OsZNYhp0 …
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Kobe was one my first inspirations—not the tallest, not the fastest, but the one who were always working very hard, whose mentality was so strong that made him rise to a different level. Very sad to see him leave this world like this...Thoughts and prayers to his family
#ripkobehttps://twitter.com/TMZ/status/1221516283671433216 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This paper looks very interesting. Looking forward to read it more closely! Link is here: https://arxiv.org/abs/1805.03273 https://twitter.com/ambilinski/status/1219736168755089408 …
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I find the paper very nice and well motivated. But that should not be too much of a surprise as I always learn a lot from Brant, either by co-authoring with him or just reading his papers!
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Brant also makes life a bit easier for us by providing an easy-to-use
#R package that implement his proposed tools: https://bcallaway11.github.io/csabounds/Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Brant note that these extra conditions to get point identification can be too strong in many diff-in-diff applications. To avoid these drawbacks, he then propose alternative assumptions that you can use to *bound* these distributional parameters.
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