Top Tweets for #causalanalysis
On the SIAM News blog, Kevin Slote, Kevin Daley, Rayan Succar, Roni Barak Ventura, @PorfiriMaurizio, and Igor Belykh use #causalanalysis to investigate how media coverage and special interest groups can influence firearm purchase. Check it out! #SIAMDS25 https://t.co/pIhXroM78G
Happy holidays from the #Venet in #Tirol, #Austria ❄️⛷️ - the perfect crowd-free ski retreat, recharging energy for fresh #CausalAnalysis and #ImpactEvaluation in the new year 😉 https://t.co/3eKZ0lTlTq
🚀 A new version of our causalweight package for the statistical software R is online, containing some of the latest causal machine learning methods for the estimation of treatment effects: https://t.co/8kAqV7lqnm
#CausalInference #CausalAnalysis #MachineLearning #rstats
Had the great pleasure of teaching a short course on #CausalAnalysis (based on my book of the same name) and methods in policy evaluation this week at the European Central Bank in Frankfurt. A big thank you to David Marques-Ibanez and all participants for hosting me!
🌟 Thrilled to present our joint research on #CausalAnalysis with N. Apfel, J. Hatamyar, and J. Kueck at the Fondazione Bruno Kessler in the stunning city of Trento today! 🌄 Check out the event details here: https://t.co/y3qwn8Utbw
@sheikh__ridwan @mitpress Unfortunately, there is no free online version available, a free online version exists for my first book #CausalAnalysis, which covers all the topics in greater depth: https://t.co/qtc3KF8LFb
Just submitted the final proofs of my new book, Impact Evaluation in Firms and Organizations, set to be published by @mitpress this summer! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, and focused on business applications. Here’s the table of contents
😀Received the first proof of my new book, Impact Evaluation in Firms and Organizations, from @mitpress! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, and more focused on business examples. R & Python code is already available: https://t.co/k0U7OuUDKT
🚀 New Paper Alert! Check out our #DifferenceInDifferences method for time-varying continuous treatments based on double #MachineLearning and kernel methods - joint work with Michel Haddad and Lucas Zhang: https://t.co/i7Ixi6Pm5E #CausalAnalysis
Interested in #CausalDiscovery to uncover causality among multiple variables? Check out my introductory #OpenAccess article in the Swiss Journal of Economics & Statistics @sjesEditors (grateful to editor @Marius_Brulhart for his support): https://t.co/Egz88akLHx #CausalAnalysis
Had the pleasure of hosting Prof Kosuke Imai (@Harvard), a world-leading expert in #CausalAnalysis, at our econ research seminar. He gave an insightful talk on evaluating #AI-based recommendations in human decision-making, followed by engaging discussions at the seminar dinner.
😀🔥 Registration is open for our 5th #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning, Feb 3-14, 2025, in hybrid format at @ses_unifr @unifr and online. Courses on machine/deep learning & #CausalAnalysis using #Python, #RStats, #Julia, #Knime: https://t.co/aGUYUoOjtr
Congrats @CausalHuber on your book's 1-year anniversary! 🎉📚
Want to learn from Martin himself? Join our October online workshop on treatment evaluation with instrumental variables. A great chance to delve into #CausalAnalysis with the author! ➡️ https://t.co/TnDePdyqPs
🎂Happy Birthday, #CausalAnalysis! 🎉 One year ago today, my book on impact/treatment evaluation and causal #MachineLearning in #RStats was released by @MITPress!😀 https://t.co/qtc3KF8LFb #CausalMachineLearning #Econtwitter #Epitwitter #Causaltwitter #Statstwitter
🎂Happy Birthday, #CausalAnalysis! 🎉 One year ago today, my book on impact/treatment evaluation and causal #MachineLearning in #RStats was released by @MITPress!😀 https://t.co/qtc3KF8LFb #CausalMachineLearning #Econtwitter #Epitwitter #Causaltwitter #Statstwitter
😀Our 5th #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning is happening from Feb 3-14 2025 at @ses_unifr @unifr!Registration is already open for our hybrid courses in machine/deep learning & #CausalAnalysis using #Python,#RStats,#Julia,#Knime:
https://t.co/aGUYUoOjtr
The next Causal #DataScience Meeting is coming up on Nov 5-6—a great online conference bringing together scholars and business experts to present and discuss insights on #CausalAnalysis, impact evaluation, and #CausalMachineLearning. Not to be missed! #EconTwitter #Causaltwitter
🚨FREE & ONLINE COURSES 🚨
Three free & online courses that you should not miss!! organized by @UniHuelva, @UNIAuniversidad, and @aeetrabajo
#freecourses #python #machinelearning #stata #macroeconomics #computing #calibration #causalanalysis
Have a look at this thread!!👇👀
📆 IEG #MethodsWeek: Day 5⃣, #CausalAnalysis
How can case-based designs be used for causal analysis in #evaluations and for generalization beyond specific cases?
IEG demonstrates through a real-world example: https://t.co/DJHeFMj3KC
A very interesting & shocking diff-in-diff-based #CausalAnalysis finds that @Nestle's infant formula market entrance in lower-income countries substantially increased infant mortality by more than 20% (!!) among those using unclean water: https://t.co/mSB6T9WhQD #CausalTwitter
Stumbled on a staggering result:
Starting in the 1960s, @Nestle aggressively marketed baby formula > breastfeeding in LMICs. Formula was often mixed with unclean water
The result: increased infant mortality and *212,000* excess deaths per annum by 1981
https://t.co/vv6LLCUm1q
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