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Fernando Rios-Avila (~ ‾⌣‾)~ Profile
Fernando Rios-Avila (~ ‾⌣‾)~

@friosavila

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Applied Econometrician trying to learn something new any now and then. My weapon of choice... @Stata ! I can cheer for two 🇧🇴 & 🇺🇸 now. And then the were two!

Joined September 2011
Don't wanna be here? Send us removal request.
@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
As we progress on DID, a new version for #jwdid (or DID Mundlack style) is on. A simple script that should make your life easier applying the @jmwooldridge approach to DID. It comes with a surprise. You can use it for logit/poisson models!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
1 year
For those using @jmwooldridge 's "Introductory #Econometrics " book, you probably know about Florian Heiss & Daniel Brunner books for Learning #R and #Python Great news now there is one more using #julia ! Great way to learn all the basics! For now he also has the pdfs!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
I think it's done. @AsjadNaqvi Here is a graph for Intergenerational Mobility (data from NLSY79-97) The thickness of the line represents the Share of people moving from a particular quantile to another.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Hi everyone, it’s out on Ssc #jwdid a command to estimate twfe DID using mundlak approach. Install it (ssc install), use it, test it. Let me know if you want to see other things #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Using #csdid ? wanted to go faster in @Stata ? well, there is #csdid2 ! Just fresh out of the Stata-oven. Please try it on. and let me know if you encounter problems (specially compared to #csdid )
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
And v0.1 for drdid for Stata is on! This version implements the panel data estimator only, but will add the RC as well. you can get it from here #playingwithstata @pedrohcgs @causalinf @AsjadNaqvi
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
5 months
My brilliant co-authors Arne Nagengast @ArneNagengast & Yoto Yotov @YotovG and I propose a fast & flexible Stata command for heterogeneity-robust DiD estimations of gravity equations & more, and we study the impact of the Single Market on intra-EU trade.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Bringing more #joy_plot to @Stata . New version of joy_plot. Main changes: You can use it with Stata 14 (or earlier?) and you can use 2 dimensions! So, Which one is better for comparing wages: - overlapping densities, or - half violins?
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
And I think its done. #drdid is ready (for testing) (posting tomorrow) Check it out and compare it with the R examples for RC data. #playingwithstata @Stata @pedrohcgs @AsjadNaqvi @causalinf
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
A new update for #csdid and #drdid ! fixes a bug found by @agoodmanbacon regarding time gaps. adds a new command -csdid_rif- to construct tables and report uniform confidence intervals for any "RIF". You can also save the RIFs for all aggregations. Questions? send me an email!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Guess the command! Clue: they are all quantile regressions! #qregplot
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
and Just a bit after the two-week mark, #CSDID is ready for testing! This version estimates the asymptotic version of all estimations and aggregations. But yes, the WB version will be coming! For details check it out here: (1/6)
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
While working on DID, sometimes everything looks like an event study. So, I decided making a small experiment. What is the wage gain of becoming a union worker?
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
#EconTwitter Quick question to ppl using DID, specifically Callaway and Sant'Anna (2020). What features of the estimator would you like to be clarified, from the applied perspective? Trying to put some of this on the companion paper for csdid/drdid
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
And more color for @Stata . #mscatter new version on Github. You can now also add "fitted" values to your plots, and "drop" the scatter too mscatter y x, over(z) fit(qfitci) #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
#CSDID is getting a make-over!. For large projects it gas slow. Some times very. The bottle neck Data management in large samples. New version is more efficient! Works with Mata, using multiple "frames".
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
In case you were interested. My presentation from last week on #drdid and #csdid is available here #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Some extra Twisting. @AsjadNaqvi V2 of Snakey is almost done. #playingwithstata #sankey #stata one line of code you could get this:
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Alright. Panel estimators for #DRDID are done! Next step. Add all RC estimators. and add weights. @pedrohcgs @AsjadNaqvi @causalinf @AustnNchols
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Following @AsjadNaqvi example. New command on SSC. color_style. A wrapper for colorpalette and grstyle to easily change colors in your figures. More coming soon
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
1 year
How do you estimate marginal effects for the following model in @stata : y = a0 + a1 * x + a2 *x^2 +e Answer: use margins! What if your model is y = a0 + a1 * x + a2 *x^0.5 +e Answer: use f_able + margins!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Small Update on #jwdid ! An update is up, with a more appropriate calculation of Dynamic effects (pretreatment). Interestingly: csdid, long = jwdid, never! Seems more and more methods are connected at their core
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
6 months
I haven't made an update to the DID commands I worked on. So forthcoming, #jwdid will allow for Constrained Heterogeneity: Event, time, and cohort. In addition to other model specification options. All towards using the command for #GravityModels .
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
I ll cover some of the basics regarding DiD as well as the problems with TWFE. And of course a walk through csdid and drdid.
@Stata
Stata
3 years
#StataEcon21 presenter: @friosavila from @BardCollege is part of this year’s presenter lineup, with his "drdid and csdid: Doubly robust DID with multiple time periods" presentation. You can view all the scheduled talks by visiting
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Part I finished Ready for the sequel! #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
And after few days, an update! #CSDID V1.5 is out!. The main change. Aggregations are now quick. And it now allows you to save all RIF's (or IF's + means) as datasets, so you can use those files to rerun the aggregations with WB SE.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
So, I still need to understand how controls are introduced in the approach suggested by @jmwooldridge . However, to compare results with other procedures, I decided to make a small script for the implementation. (no controls yet)
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
How far would DID go? Just continuing on the previous example for DID. Now using the program did_imputation without additional steps. As Before, it seems that there is a positive effect of unions on wages, but with some anticipation.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Do you have brackets data? do you need to use it for regression analysis, or inequality analysis, but don't know how.? Go beyond interval regression! Here we suggest a multiple imputation approach that would easily allow you to do so! in #Stata !
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
About Rolling Regressions for DID. As some of you know, one of the approaches to estimate ATTGTs is to concentrate on individual 2x2 cases. In CS2022, for example, the attgt is defined as ATTGT=E(Y_t-Y_{g-1}|G=g) - E(Y_t-Y_{g-1}|C=1)
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
How has the Demographic composition changed since 1975?
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
9 months
Personal News! A paper with @GCanavire and @flasacco on better use of intervalled censored data has been accepted at the Journal of Economic Inequality! A summary: The paper: and examples:
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Hello everyone, an update on "xtheckmanfe". This is my own take on @jmwooldridge Correlated random effects selection model for panel data. For the case with selection only, it now allows to estimate standard errors via bootstrap, and via -two-step-ml-.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Combining the power of colorpalette and grstyle by Ben Jann. You can really add color to @stata . Some examples:
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Color In #Stata graphs! Yes! you just need a bit of extra programming, and #colorpalette . Color palette choice based on work by @BlakeRobMills .
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
1 year
@Stata #csdid and #jwdid are now officially on Stata! and I think #qregplot is also there!!!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
#EconTwitter Is anyone using the TWFE DID approach described by @jmwooldridge with covariates? I'm looking to cross-check some of the details on the implementation
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
First gift of the year!
@pedrohcgs
Pedro H. C. Sant'Anna
3 years
Hey #EconTwitter , #HealthPolicy , #PoliticalScience and #SocialScience in general. Do you feel lost about recent advances in DiD? We are here to help! What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature 1/n
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
1 year
To answer a question I hear often. How to do SUEST with fixed effects (panel data for example). Here an option
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Great presentation on nonlinear DiD
@Stata
Stata
3 years
Our keynote speaker at #StataEcon21 was @jmwooldridge from @michiganstateu , who presented on nonlinear difference in differences with panel data.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Mini update with #drdid . Now all RC estimators are replicated. Just need to add them to the command. And I think. Voala drdid.ado ready to rumble #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
5 months
One more add-on to #jwdid . Now you should be able to estimate constrained heterogeneity Baseline: full cohort calendar Others: twfe, event only, calendar only, group only. Restricted event cohort. And continuous treatment (under linearity)
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Thanks to @AsjadNaqvi , the IPW replication is now possible with #drdid . Slowly but surely, getting the full replication. #playingwithstata @pedrohcgs @causalinf @AustnNchols
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Hello everyone, Finally some progress regarding #CSDID . As I mentioned already, the baseline estimator command is ready. And it produces the Normal based standard errors and confidence intervals. Similar to what -att_gt- does. (1/4)
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
One of them is not like the others:
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
1 year
Something some may find useful for understading two-way Standard errors. This was something that bug me for a while, so decided to write a small note: @stata #robust #cluster #2waycluster #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
1 year
Do you know why you should never merge m:m? well, check this out: So if you think you need merge m:m, probably you need to joinby! #playingwithstata @Stata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
You can find my explanation, and an example of this here: I took the liberty of calling this, #jwdid Let me know what you think. #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
4 years
To cluster or not to cluster? Today, I show a bit of simulation evidence of what happens when unobserved individual effects exist, but one doesn't control for it. Short answer? One becomes overconfident. #stata #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Ok, ready for testing! #sankeyplots in #stata Check it here and the examples in the helpfile
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
1 year
Something people like about #csdid is that it provides Uniform confidence intervals (via Wboot). Few other commands allow you for that. (I know for a fact #jwdid doesn't!) Except that now you can do it as a post-estimation! see #uci here:
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Rolling regressions is almost ready Just fine tuning and testers! Yet another approach to did #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Ok, so very preliminary beta for att_gt. I'm renaming it -mpdid- (multiple periods DID). It's looking nice! #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
#sankey_i2 plots! V1 of the command ready! If you are interested please, check the How to slides @AsjadNaqvi Check it out #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
What type of time gains? Based on 1 experiment. Fake data, 1 control, Method Regress (fastest). 10000 individuals, 25 periods, 14 cohorts. Current CSDID -> About 400secs New one CSDID2 -> 10 Secs! Hopefully Scales up nicely!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Now #drdid v0.5 is on! Same as before, with some cleanup on the outcome. And now adds the Repeated crosssection estimator. Next, either IPW and OR estimators, or may start playing with DID. #playingwithstata @causalinf @pedrohcgs @AsjadNaqvi
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
@pedrohcgs And for those interested A faster Stata version is on the works. Taking full Advantage of Mata!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
4 years
And recent paper with @StephenPJenkin1 , further evidence of using linked data for the UK. How important are measurement errors? and how can we improve the data? Is survey or administrative data better? Still more to come.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
A question on Qreg? when teaching to analyze qreg outputs, which assumption you use?
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Where do the Negative weights come from?
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Inspired by @AsjadNaqvi I started looking at the DRDID. and here is my take. I can now replicate the example from the R DRDID. Next, the standard errors! (and a wrapper) @causalinf
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
And some few changes on a couple of commands (ridgeline_plot and joy_plot). All changes on Github One of these is a joy! the other a ridge! #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
So that is it! a working version of R's DID, or as I'm now calling it. #CSDID . This is what happens when you start #playingwithstata ! @pedrohcgs @AustnNchols @AsjadNaqvi @korenmiklos @Stata So, @AustnNchols , too late to submit for #Stata2021 ? 😆
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Happy New Year!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
4 years
And one more surprise. The latest issue of Stata Journal is out, and so is my contribution. Using margins with not-so-common variable transformations. Going beyond mere Polynomials! #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
@imbernomics @causalinf @grant_mcdermott @jmwooldridge its right now on SSC (ssc install jwdid) with my "explainer" here It currently works well with balanced panel, but still has quirkes with repeated crossection
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Continuing on my data exploration on time use. And show a case of new command (joyplot). Even on weekends, seems that men don't put much time into supervising young children (10 or younger)! Data: ATUS-2019 #playingwithstate
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
@stelifanie use estout or esttab
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
@rindeh_andaaz @pedrohcgs @causalinf The default estimator in R is DRIPW, whereas in Stata I decided using drimp (look in to Pedro's previous Doubly robust paper). This explains differences in effects Regarding standard errors. Stata default is asymptotic, whereas R's default is the uniform WB bands.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Today my dad would have been 91! We really miss him. However, you can see he is still having his way. In La Paz they are preparing the largest Chairo ever made (his and my favorite soup!) Feliz cumple papa!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
1 year
Today is a great day! 2 big events Feliz día Bolivia! And just as important. Feliz cumpleaños Abby! Mi hijita preciosa! Gracias por ser nuestra luz en tu primer añito!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Right now my favorite is white_tableau!
@AsjadNaqvi
Asjad Naqvi
3 years
A #Stata reminder: you can install and use plenty of custom schemes: e.g. plainplots by @DanBischof , cleanplots. I have a dozen of them here: . If you are ambitious here is a guide on how to make your own schemes: #TGIF
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Some work on Imputation Tonight. Joint work with @GCanavire
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Not sure if you are aware, but Tim Huegerich put together a very flexible Stata kernel (nbstata) that works with Quarto!. One mini example: Code and Formats: HTML: #nbstata #stata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Weeks ago @paulgp asked about options to share data, he couldn't share (proprietary data). I'm currently facing a similar problem, so came up with a potential solution. Synthetic data based on Multiple Imputation. Comments welcome! #playingwithstata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
1 year
Includes introduction to the languages as well as scripts for all exercises A must have to start in this alternative languages
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Update for waffle_i! Now waffle_plot! Check out its capabilities. Now with a helpfile.🧇🧇🧇🧇 #playingwithstata @stata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Using data from we can use Sankey plots to show the same. What do you think?
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
So a bit more programming. Especially because of @AsjadNaqvi challenge. Beta version for Sankey plots.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
10 months
Thank you Gustavo! This is a great Xmas present!
@GCanavire
Gustavo Canavire-Bacarreza
10 months
A well deserved prize to @friosavila ! Not only a great  coauthor, but also an exceptional friend. Well-deserved recognition with The Stata Journal Editors’ Prize 2023!  @Stata
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
11 months
I worked with her on her thesis few years ago. Now she is graduating as a PhD and entering the Job market. She will be a great addition to any program!
@AlejaMontoya_A
Alejandra Montoya Agudelo
11 months
Hello #Econtwitter ! I am on the #EconJobMarket this year, and I am happy to share my #JMP : “The Heterogeneous Value of Four- and Two-Year College Choices” You can find the full paper and more about my research on my website:
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
5 months
This is based on the Extended TWFE #jwdid , which now comes with many other options that support the estimation of Gravity models but allow for other non-linear models as well. It even allows for some covariates heterogeneity and DDD. See here
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
6 months
#EconTwitter Quick question: Have you used #jwdid or #wooldid or #xthdidregress twfe (ETWFE and extensions) ? Looking for examples..Thank you!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
And while new packages on DID are released, and I cooldown from #CSDID and #DRDID let me share with you a piece of thought regarding DID with multiple periods
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
1 year
Weak IV can mess up with normal distributions! Yes nothing new, but nice to have for class. Also, something odd...that needs more exploration!
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
4 years
Plotting coefficients for quantile regressions in @Stata is easy with -grqreg-, but only if you estimate them with -qreg- (or its friends), and the model has no factor notation.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
1 year
Answering my own question. Does transforming variables affect how Synthetic control operates? This example suggests, probably not. Next step, See how this insight plays with SCDID
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Understanding who and when are units treated matters.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
@stelifanie look for vcemway (ssc) example: webuse womenwk, clear gen r1=runiformint(1,10) gen r2=runiformint(1,10) vcemway heckman wage educ age, select(married children educ age) cluster(r1 r2)
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Some updates that people have asked for #qregplot . check it out Also, not yet on SSC but for now you can find the files here
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Here a snapshot of the replication. Just need to double-check how and why standard errors do not match...Still. Anyways, although a bit late understanding this, I'm ever closer to a native DID for @Stata ! @pedrohcgs @AsjadNaqvi @causalinf
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
Making better use of bracket-censored data Here one option
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
The secrets of DID covariate heterogeneity is at hand! at least for the simplest 2x2.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
It’s been a long winter…so let’s enjoy the sunny afternoon
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
4 years
All ready for #Stata2020 conference (at home edition). This time with two papers! #f_able and #vc_pack . Thank you for organizing @stata !
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Looking at Time on Household Production (2019). Seems that men push forward on the weekends and try to catch up a bit with housework. Giving a bit of a break to women.
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
What do you mean you haven’t tested for parallel trends?
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
3 years
Definitely worth it!
@pedrohcgs
Pedro H. C. Sant'Anna
3 years
📢📢Hello #EconTwitter , #PoliSciTwitter , and all people curious (or overwhelmed) about the advances in Difference-in-Differences methods! In partnership with @StatHorizons , I will offer a new session of my DiD course on Oct. 14-16, 2021. Information:
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@friosavila
Fernando Rios-Avila (~ ‾⌣‾)~
2 years
@sarahmrose @causalinf @pedrohcgs @kylefbutts @jondr44 Indeed! That is why when you use no covariates, ALL estimators are the same. You can see that more directly using drdid (Sant'Anna and Zhao).
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