🌟 WPECO was elevated by the participation of our second GRTI predoctoral cohort! We’re incredibly proud of them and excited to see their journeys unfold during the upcoming PhD application season.
If you are interested in be part of the next cohort you can find more information here:
🔗 https://t.co/9WAx2aMAPd
On the use of large language models to solve prediction and estimation problems - amazing paper by @m_sendhil and colleagues. @tylercowen
https://t.co/Jmz3Bqnyi1
🎉 The #LAPolMeth2024 has come to an end—what an incredible event! 🙌 Huge thanks to everyone who made the 2024 meeting a success! 💡✨
📍 Next stop: Viña del Mar, Chile, in 2025! 🇨🇱 Mark your calendars! 🗓️
@PolMethSociety
En 3 días empieza este curso gratis sobre evaluaciones aleatorias de MIT y J-PAL. Es un recurso muy útil para aprender y acceder a materiales sobre RCTs, data collection y muestreo
Y también una de las profesoras es Esther Duflo
https://t.co/mmgYGSsKGq
🧵En la segunda edición de #Tavarandú el Laboratorio de Aceleración del PNUD lanzó un experimento del que participaron estudiantes de Educación Media de colegios de #Natalio, para medir el impacto de los mecanismos de #ParticipaciónCiudadana en la confianza hacia los gobiernos locales. Va hilo.
#GobernanzaParticipativa #AccLabPY #TavaranduEsParticipación
Vinimos a #LatinR2023 en Montevideo, hay muchos proyectos increíbles de datos en la región. Se puede acceder a toodas las presentaciones y material en https://t.co/JCmfVxhX5W 👀
S5E04 Dissertations Vol. 2: Quant Ideas From Actual Experts
https://t.co/ei7yUnJ8H4
Six quant methods scholars share a wide variety of fertile ground for quant research, useful for students seeking dissertation topics as well as anyone interested in active methodological areas.
📆Save the date! Oct 24
Argentina🇦🇷 will vote on its next president on Sunday, Oct 22. The country is in a state of crisis, meaning that this year's decision will be hotly contested. Join @VickyMurilloNYC@levitsky2@egocantos@ecalvo68 for an assessment of the results!
I’m excited to share American Stories, a new billion-scale dataset of structured texts/layouts from public domain newspapers (1780-1960) that we’ve built using our deep learning packages. #EconTwitter (1/13)
Paper: https://t.co/15nQ1gZ9E5
Dataset: https://t.co/LhCtd9XsXZ
Very happy to finally see this work with @guido_imbens published (after 6 years)!
The main message of the paper is that instead of using FE you can control flexibly for constructed group-level characteristics - the procedure that we call the Generalized Mundlack estimator.