Pedro Picchetti
@pedropicchetti.bsky.social
PhD student at Insper visiting Brown and Metrics Big Ticket. Incoming AP @IE_UC. https://sites.google.com/view/pedropicchetti/home
Hi everyone! I am happy to share this note titled "Difference-in-Differences with Binarized Treatments: A Cautionary Tale". I study the common practice in DiD settings of recoding a multi-valued treatment into a binary indicator. I hope you enjoy it! www.dropbox.com/scl/fi/491xi...
🆕 How regulating junkyards reduced car theft in Brazil Today on VoxDev, André Mancha (@j-pal.bsky.social) discusses how increased regulation of the second-hand automotive part market reduced car theft in Brazil: voxdev.org/topic/instit...
How regulating junkyards reduced car theft in Brazil
Unregulated markets for second-hand goods fuel crime worldwide. In Brazil, strengthening oversight of the second-hand market for automotive parts helped reduce car theft, simultaneously lowering insur...
voxdev.org
Exciting personal news!! My Job Market season is over. I am thrilled to announce I am joining PUC-Chile as an Assistant Professor next semester. Looking forward to joining this great department and working at the Católica. Great times are coming🤠
Hi all. I'm Pedro Picchetti from INSPER Institute of Research and Education, in Brazil. My #EconJMP provides a new method for the identification of dynamic causal effects using Instrumental Variables. sites.google.com/view/pedropi...
prompted by Jeff Wooldridge extolling the virtues of regression adjustment with propensity weights, implemented it in python and ran some simulations ; it does indeed work pretty well. apoorvalal.github.io/LalQuartoBlo...
Comparing selection on observables estimators – Lalgorithms
apoorvalal.github.io
New draft of my JMP coming soon! Crazy roller coaster of emotions so far (about to get crazier), but man what a learning curve it has been! Ten toes down, till the wheels fall off, let's get this thing!
Dolorido demais ver seu grupo de melhores amigos se desmantelando por conta de mulecagem, triste demais sentir sua rede apoio se desfazendo...
Synthesizing and critically reviewing the modern instrumental variables literature that allows for unobserved heterogeneity in treatment effects, from Magne Mogstad and Alexander Torgovitsky https://www.nber.org/papers/w32927
Hoje eu tive o prazer de conhecer a UFPE e os talentosos pesquisadores do PIMES!
Acontece alguma coisa muito louca no aeroporto que as pessoas passam a preferir esperar de pé do que sentadas
Model restrictions can introduce bias but improve precision. Instead of testing for bias from potential misspecification, it's nearly optimal to adapt, averaging restricted and unrestricted estimates using data-driven weights, from Armstrong, Kline and Sun https://www.nber.org/papers/w32906
Had the chance to present my work in progress "Identification in Endogenous Sequential Treatment Regimes" at Brown University today. Super grateful for the opportunity and the feedback.🤠
got tired of doing academic CVs in TeX and made a simple and easy-to-use (r)markdown template. hope this might be useful to some #econtwitter JMCs. let me know if you have suggestions. github.com/simonheb/mar...
And just like Paul Simon once said, "the leaves that are green turn to Brown". PS: what a lovely lovely city is Providence.
Nothing quite like the high of running monte carlo simulations
My gess is there is no way Jrue Holiday actually stays in Portland. It is not consistent with the rebuild plans. Brad could unload all the picks and find a suitable substitute for Marcus!! That'd be insane!!
On my way to Boston to watch the Red Sox! Don't know the first thing about baseball, but I know the words to Sweet Caroline so I guess I'll get around😅
"Recent Developments in Partial Identification," Kline and Tamer (2023). Looks like a really nice overview of the state of the partial identification literature. Polisky 📈📉 doi.org/10.1146/annu...
If you are insterested in Difference-in-Differences with imperfect compliance, Fuzzy DiD, Instrumented DiD or however you feel like calling it, check out my working paper "Marginal Treatment Effects in Difference-in-Differences", with Cristine Pinto papers.ssrn.com/sol3/papers....
Marginal Treatment Effects in Difference-in-Differences
Difference-in-Differences (DiD) is a popular method used to evaluate the effect of a treatment. In its most simple version a control group remains untreated at
papers.ssrn.com
Hi, Bluesky! My name is Pedro. I am a brazilian PhD student in economics and an aspiring econometrician. My research interests lie in causal inference and semiparametric econometrics. I am also a big sports fan and a fan of hip-hop. If any of these interest you as well, let's link up! 🤠
