Sebastián Valverde

Economista de la @UdelPacifico | Interés en macroeconomía y economía del desarrollo | Fútbol y política

[Sebastián Valverde @SValverde97]

@SebasCastilloA @ElDejounte Esa volante creaba destrozos🍫🍫

[Shruti @heyshrutimishra]

MIT University just released free online courses.

No payment required.

Here are 10 courses you don't want to miss in 2024:

[PREDOC.org @predoc_org]

🥳Our free GRE Prep Guide is live! 🥳
We're hoping to create and gather more resources pertinent to aspiring researchers on our site. If you're interested in applying for a degree in the social sciences, check our course out at https://t.co/Pzc8NwJvc0

[Yale Department of Economics @YaleEconomics]

Can Google Search data predict the economy?

@Google Chief Economist Hal Varian visited @Yale this week to present on how Google Trends can be used to forecast economic activity, including GDP, unemployment, and where you’ll buy your next coffee: https://t.co/fR2QmK87Mb

[Giuseppe Cavaliere @CavaliereGiu]

Hi #EconTwitter!

Interested in 𝐭𝐢𝐦𝐞 𝐬𝐞𝐫𝐢𝐞𝐬 #econometrics and forecasting?

Check out the material from @BruceEHansen's (@UWMadison) course "Advanced Time Series and Forecasting", which includes 500 slides covering most aspects on this topic.

Highly recommended!

[Rosana Ferrero 📈📊🙌 @RosanaFerrero]

📚 ¡Uno de los mejores libros para el análisis de series temporales!
👉 Una introducción completa a los métodos de predicción con #RStats
👇 LIBRO ONLINE GRATIS
🔗 https://t.co/6bOXqo9zeN
#book #datascience #timeseries #ML #AI #machinelearning #analytics #stats #analytics #data

[Stats and R @statsandr]

📝 New post: Pietro Zanotta and I present a tool that allows to extract data directly from a web page. This technique, referred as web scraping, is illustrated in R with a real life example #rstats #rstatstweet #DataScience https://t.co/G77vvtySRl

[Jesús Rodríguez 🇻🇪 🇪🇸 🏴󠁧󠁢󠁷󠁬󠁳󠁿 🇬🇧 @jarodriguez849]

Just finished the Text Data in #Economics course taught by @ellliottt at the @warwickecon Summer School 2022.

A fantastic public resource for those interesting in learning #textasdata, #NLP tools & #machinelearning methods.

You can freely access here: https://t.co/DLNQ4Kuskf

[TJ Hedin @TJ_Hedin]

Since I found them super helpful yesterday for figuring out how to implement sensitivity checks in an RDD/RKD setup, here's a reminder to #EconTwitter that @paulgp's lecture notes on applied methods are free online: https://t.co/mSGgIg8pqg

Thanks Paul!

[PyQuant News 🐍 @pyquantnews]

A Bloomberg Terminal costs $24,000 per year.

It's the portal to all the world's financial data.

Unaffordable for 99% of us.

Reserved for the Wall Street elite to outfox the normal investor.

Until now:

[Sebastián Valverde @SValverde97]

@aletjandraa @danielmanzoog Ya toca un viaje amor❤👀

[Sebastián Valverde @SValverde97]

@perros_shidoris @aletjandraa

[Cesar Chavez @CesarChavezP29]

dsge models - Google Drive https://t.co/or6OdYi7eT

[Sebastián Valverde @SValverde97]

@renzospinosa @aletjandraa

[Ivan Werning @IvanWerning]

What is going on with the Ruble🇷🇺? Should it depreciate or appreciate?

I think there are forces both ways and that could possibly explain why it has moved around and recovered.

A thread about this little note with my genius friend @guido_lorenzoni
🧵

https://t.co/hddDN7BKhG

[Sebastián Valverde @SValverde97]

@aletjandraa @Art0fLife_ La 12👀

[Sebastián Valverde @SValverde97]

@SebasCastilloA @genarichi @lgnacioduh @genarichi cagonazo, fueron solo un par de cumpleaños aparte sí lo saludé en el último🙄

[Dirk Eddelbuettel @eddelbuettel]

Lecture slides for my 'Data Science Programming Methods' course STAT 447 from this Fall 2021 at U of Illinois are now accessible via https://t.co/hHewPJY3pl covering shell (incl sed/awk), markdown, git(hub), sql, lots of #Rstats up to packaging, and Docker. Enjoy!

[Martín Tanaka @MartinTanakaG]

Descarga gratuita por algunos días. Es una mina de oro...
https://t.co/FrsKGfGuK1

[Juan Manuel García @JuanManuelGarc3]

Libro "Pobreza y desigualdad en América Latina" de Cicowiez, Gasparini y Sosa editado por el CEDLAS. Contiene las herramientas técnicas par el análisis de la pobreza monetaria y la desigualdad de ingresos (usando STATA).