Pedro Picchetti

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 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...

🆕 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...

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🤠

Eles não são inocentes!

Thanks for the support, Tomás!🫡🤝

The instrumental variables (IV) method has been widely studied in cross-sectional settings. However, many practical applications involve panel data, in settings where a unit's treatment status may turn on or off over time. I show that in the presence of dynamic treatment effects, that is, if past treatments affect current potential outcomes, standard methods are no longer valid if the instruments are serially correlated. This paper proposes the nonparametric identification of dynamic causal effects in a potential outcomes framework in which potential outcomes depend on the treatment path taken by a unit through time but the first stage is static, in the sense that at each period the IV only instruments its contemporary treatment. I provide a nonparametric estimator that is unbiased over the randomization distribution and derive its finite population limiting distribution as the sample size increase.

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...

Big purr🙏

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!

A'JA WILSON

Conta mais cara

Leve desabafo pessoal, como não tem ninguém aqui virou meu espaço pra ventilar essas paradas

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!

EU TE AMO CORINTHIANS

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

👉🏽😤👈🏽

Imperdível!

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...

Cool stuff!

Congrats, Pedro! As someone that is a twin I can say that it is a true blessing to grow up in the same house as your best friend (not sure my parents agree, though😅).

And just like Paul Simon once said, "the leaves that are green turn to Brown".

PS: what a lovely lovely city is Providence.

www.aeaweb.org/articles?id=...

They definitely will! Emotions run high when it comes to MC, for better or for worse😂

Nothing quite like the high of running monte carlo simulations