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Kirill Borusyak
@borusyak
Assistant professor @AREBerkeley: international trade and applied econometrics. Visiting @LSEEcon. (Ex @EconUCL, @IESPrinceton, @HarvardEcon, @NES_Moscow)
sites.google.com/view/borusyak/…
Joined May 2020
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    Kirill Borusyak
    @borusyak
    Feb 2
    Hi all, I've uploaded the 2025 update to my PhD Applied Econometrics slides: ➡️ More on regression & causality ➡️ Dynamic panel data models ➡️ Streamlined diff-in-diff extensions ➡️ More on spillover effects ➡️ Results from new papers on many topics Link in the original tweet
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    Kirill Borusyak
    @borusyak
    Dec 19, 2023
    Hi #Econtwitter, I'd like to share the slides from the PhD Applied Econometrics course I just had the privilege to teach at @AreBerkeley Regression & causality, selection on observables, panel data, IV, RDD --- usual topics but hopefully in a modern way github.com/borusyak/are213
    100K
  • user avatar
    Kirill Borusyak
    @borusyak
    Dec 19, 2023
    Hi #Econtwitter, I'd like to share the slides from the PhD Applied Econometrics course I just had the privilege to teach at @AreBerkeley Regression & causality, selection on observables, panel data, IV, RDD --- usual topics but hopefully in a modern way
    GitHub - borusyak/are213: PhD Applied Econometrics class taught at UC Berkeley
    From github.com
    322K
  • user avatar
    Kirill Borusyak
    @borusyak
    Apr 6, 2023
    It's time to announce that this summer I'll be moving to Berkeley as an assistant professor @AreBerkeley and affiliated faculty at @berkeleyecon. I'm thrilled for this new chapter but also sad to leave London and @EconUCL and very grateful for my four years here!
    121K
  • user avatar
    Kirill Borusyak
    @borusyak
    Jul 20, 2022
    A plea to referees: don't push the authors of diff-in-diff papers to mindlessly implement all estimators. Push them to be explicit and precise about their estimand and the underlying assumptions, and choose estimator(s) based on those primitives.
  • user avatar
    Kirill Borusyak
    @borusyak
    Dec 29, 2024
    TWIMC, I've updated my PhD Applied Econometrics teaching slides to the 2024 edition. Feel free to use, and any feedback is always welcome!
    user avatar
    Kirill Borusyak
    @borusyak
    Dec 19, 2023
    Hi #Econtwitter, I'd like to share the slides from the PhD Applied Econometrics course I just had the privilege to teach at @AreBerkeley Regression & causality, selection on observables, panel data, IV, RDD --- usual topics but hopefully in a modern way github.com/borusyak/are213
    GitHub - borusyak/are213: PhD Applied Econometrics class taught at UC Berkeley
    From github.com
    79K
  • user avatar
    Kirill Borusyak
    @borusyak
    May 18, 2021
    🥁 I’m thrilled to announce our paper w/@XJaravel and @jannspiess, “Revisiting Event Studies: Robust and Efficient Estimation” 🥁 It’s a fully revised version of our 2017 draft that the diff-in-diff loving audience may have seen dropbox.com/s/y92mmyndlbku…
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    Kirill Borusyak
    @borusyak
    May 28, 2021
    On the 1st anniversary of my twitter account, I'm happy to share w/the #EconTwitter community our #stata commands for event studies: did_imputation: robust and efficient imputation estimator event_plot: event study plots after various estimation methods
    GitHub - borusyak/did_imputation: Event studies: robust and efficient estimation, testing, and...
    From github.com
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    Kirill Borusyak
    @borusyak
    Sep 6, 2023
    Very happy to report that "Non-Random Exposure to Exogenous Shocks," our beloved work w/ @instrumenthull, has been accepted at @ecmaEditors A one-line summary? If you build your treatment or instrument by a formula, you should recenter it! Link to draft: dropbox.com/s/0atm16xmswfi…
    69K
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    Kirill Borusyak
    @borusyak
    Dec 29, 2020
    This is Bartik-the-Cat. And he should look happier than this, as our paper on shift-share ("Bartik") instruments with @autoregress and @jaravel has just been accepted at @RevEconStud. (My first pub, fwiw!)
  • user avatar
    Kirill Borusyak
    @borusyak
    Sep 19, 2023
    Time to report that our work with @XJaravel and @jannspiess on diff-in-diff imputation has recently been accepted @RevEconStudies! Final draft of "Revisiting Event Study Designs: Robust and Efficient Estimation" here:
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    arxiv.org
    Revisiting Event Study Designs: Robust and Efficient Estimation
    We develop a framework for difference-in-differences designs with staggered treatment adoption and heterogeneous causal effects. We show that conventional regression-based estimators fail to...
    50K
  • user avatar
    Kirill Borusyak
    @borusyak
    Sep 16, 2020
    New WP: “Non-Random Exposure to Exogenous Shocks” (w/ @autoregress). Summary 🧵: Papers often estimate causal effects by leveraging exogenous shocks that affect many observations jointly, to different extents We show problems w/this & offer new solutions dropbox.com/s/brhuxe1b1k8x…
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    Kirill Borusyak
    @borusyak
    Jun 23, 2021
    📢 I’d like to share with #TradeTwitter a 🧵 on what @XJaravel and I have learned about the unequal effects of international trade through both cost-of-living and wages in the U.S. For those of you who have seen my JMP, this is a much-revised draft dropbox.com/s/eiygfth61vp4…
  • user avatar
    Kirill Borusyak
    @borusyak
    Oct 16, 2024
    Simple presentation advice to JMCs: 1) Show the current slide # but hide the total # of slides 2) Gradually uncover parts of the slide but don't use semi-transparent text for what's about to be shown Audiences should focus on the current moment, rather than worrying what's next
    38K
  • user avatar
    Kirill Borusyak
    @borusyak
    Jun 8, 2021
    #Stata commands for event study estimation and plotting based on my work with @XJaravel and @jannspiess are now available directly from SSC: ssc install did_imputation ssc install event_plot Let me know if you notice any bugs!
    user avatar
    Kirill Borusyak
    @borusyak
    May 28, 2021
    On the 1st anniversary of my twitter account, I'm happy to share w/the #EconTwitter community our #stata commands for event studies: did_imputation: robust and efficient imputation estimator event_plot: event study plots after various estimation methods github.com/borusyak/did_i…