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  • csdid: Difference-in-Differences with Multiple Time Periods in Stata
    We need to enforce that our estimation and inference procedure use the variations that we want it use Callaway and Sant’Anna (2020) propose a transparent way to proceed with this insight in DiD setups with multiple time periods Today’s talk is all about how to implement it with our Stata command, csdid
  • csdid | DiD
    In order to plot the estimates we can use the event_plot (ssc install event_plot, replace) command as follows: And we get this figure: Difference-in-difference package tracker
  • csdid2 - Economist Writing Every Day
    “Differences-in-Differences” refers to a statistical method that can be used to identify causal relationships (DID hereafter) If you’re interested in using the new methods in Stata, or just interested in what the big deal is, then this post is for you
  • Running csdid with repeated cross-section data - Statalist
    I’m trying to better understand how csdid handles the state-level treatment assignment in this case I’m not explicitly telling Stata which state each individual belongs to, other than through the treatment cohort and clustering In panel data, fixed effects drop out by differencing
  • CSDID: Stata module for the estimation of Difference-in-Diff
    CSDID implements Callaway and Sant'Anna (2020) estimator for DID models with multiple time periods The main idea of CSDID is that consistent estimations for ATT's can be obtained by ignoring 2x2 DID design that compare late treated units with earlier treated units
  • drdid and csdid - Stata
    DID is one of the most popular methods of applied researchers aiming to analyze Causal Effects The canonical DID (2x2) compares the changes in the outcome of treated units with changes observed among non-treated control units
  • Playing with Stata - GitHub Pages
    It works pretty much the same as csdid_estat, except that you can request analytical standard errors, as well as WildBootstrap standard errors Compared to csdid_estat, this may be slower because it reproduces all Standard errors directly from the RIFs
  • stpackages csdid2 at main · friosavila stpackages · GitHub
    Repository for all my Stata packages Contribute to friosavila stpackages development by creating an account on GitHub
  • Stata csdid - Callaway and Santanna DD estimator
    I'm implementing Callaway and Sant'anna's difference-in-difference (DD) estimator for my study using the csdid code in Stata I get the following output in Stata; however, I'm unsure of how to interpret the results correctly
  • Introduction — CSDID documentation - GitHub Pages
    The csdid package implements all the 2 × 2 DiD estimators that are in the DRDID package By default, the csdid package uses “doubly robust” estimators that are based on first step linear regressions for the outcome variable and logit for the generalized propensity score





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