Top Tweets for #DifferenceInDifferences
🚀A new version of the causalweight package for #RStats is available! It includes double machine learning estimators for #DifferenceInDifferences designs, supporting both discrete & continuous treatments. We’ve also added several datasets. Check it out: https://t.co/kHMLxEci5S
🚀 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
Learn the foundations of #differenceindifferences (DiD) models with Gonzalo Vazquez-Bare. The first hour of "Difference in Differences" is now available on YouTube! Get acquainted with some basics, and learn more in the full seminar, July 16-19. https://t.co/aVavZWEdiO
🔥 #EconTwitter Check out my new paper on #DifferenceinDifferences, exploring the testability of the common trend assumption in panel data without requiring multiple pre-treatment periods for placebo tests: https://t.co/uwspTUX0Bf
#CausalInference #StatsTwitter #Econometrics
🚨 DID Paper Thread 🚨
Are you confused about which new DID estimator to use? A bit more than a year ago, I wrote a short paper that gives a simple answer.
I just completed a revision of that paper so here’s a 🧵 to celebrate!
1/N #econtwitter #differenceindifferences
Quota vs quality? Long-term gains from an unusual gender quota: https://t.co/6KWTkiw2uz
#koulutus #perusopetus #opettajat #mieskiintiö #vaikuttavuus #DifferenceInDifferences #kausaalipäättely
Our working paper on #MachineLearning for staggered #DifferenceInDifferences is out! Our method explores effect heterogeneity under staggered treatment adoption and is applied to assess the effect of Brazil's Family Health Program on infant mortality: https://t.co/YzTvLEYu0B
Diff-in-diff people! This is probably the best paper I have seen yet that explains what to do if you think the "parallel trends" assumption is violated in your data. Highly recomended #EconTwitter #DifferenceInDifferences
𝓢𝔱ᖇ𝐞Ⓔţ 𝐓𝓻Ⓔᶜ𝓀 #50
✍️TC Rose, PhD etal @TheLancet
Pub #April2023
"The #MentalHealth and #Wellbeing #Impact of #CommunityWealthBuilding #Programme in #England: a #differenceindifferences #Study"
#Planetrecycle4u♻️
https://t.co/uAwx80dyGN
https://t.co/sqLp57tYRk
Authors: F. Melo (IFRN), A. Soares, L. Sampaio (UFRN)-Brazil, R.L.Oliveira(Asia School of Business, Malaysia)
To read the article,access it: https://t.co/nw96NDeS3S
#gamification #entrepreneurialintention #vocationaltraining #differenceindifferences #quantileregression #bar_anpad
Very interesting blog post on dos and don’ts in #EventStudies and #DifferenceInDifferences for #CausalAnalysis by Nazlı Alagöz: https://t.co/Fp3NVxLS8g
#SUERFpolicybrief “The Impact of Natural Disasters on Banks’ Impairment Flow – Evidence from Germany” by Iliriana Shala (@bundesbank) and Benno Schumacher (European Banking Authority @EBA_News)
#NaturalDisaster #ClimateChange #CreditRisk #Profitability #DifferenceInDifferences
Difference-in-differences is one of the most popular methodologies for causal inference. Unlock this feature and so many more using Stata.
Learn more about the Diff-in-Diff Stata feature here: https://t.co/YJ5R9GNq14
#Stata #DiffinDiff #DifferenceinDifferences
Difference-in-differences is one of the most popular methodologies for causal inference. Unlock this feature and so many more using Stata.
Learn more about the Diff-in-Diff Stata feature here: https://t.co/ksFS2URFE8
#Stata #DiffinDiff #DifferenceinDifferences
Very interesting work investigating the impact of #DataAnalytics on business success (revenues) using methods for #causalinference (#DifferenceInDifferences)
Companies invest a lot in analytics - but are these investments valuable?
@IsraeliAyelet and I studied ~1,500 online retailers and found that using a descriptive dashboard increased their weekly revenues by 4%-10%.
>>
#MarTech #BigData #Analytics #ecommerce #DataScience
Join Thursday's online event for the Quantitative Solutions & Networking Series.
Organised by @Skyler_Xie & @hofer_carlo we will discuss methodological challenges & solutions of #DifferenceInDifferences & #InstrumentalVariable.
Find out more: https://t.co/YpIOvdgBZq @ResearchEx
The #DifferenceInDifferences literature is still evolving and improving 👍👇#CausalInference #CausalTwitter
Sorry for other instance of self-promotion, but I wanted to flag new paper with Xavier, Félix, and Gonzalo. Proposes DID estimators for treatments continuously distributed at every time period as is often the case of trade tariffs, or precipitations 1/n https://t.co/LijzZvbLac
Check out this review on recent developments in #causalinference based on #DifferenceInDifferences 👍 #CausalTwitter
Hey #EconTwitter - was your New Year's resolution to catch up on the recent DiD literature?
If so, you might like our new review paper,
What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature
https://t.co/XIaN5WweBl
Several modern event study or #differenceindifferences methods for heterogeneous treatment effects in one plot. The latter also contains the OLS version, which is popular among practitioners but biased in general treatment effect models.
Now on the plotting command:
With event_plot, you can make event study plots for at least 5 methods:
- our did_imputation
- robust estimators of @CdeChaisemartin-D’Haultfoeuille, Callaway-@pedrohcgs, Sun-Abraham
- traditional OLS
And combine them with each other if you wish!
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