Libros que recomiendo
- Real Stats by Michael Bailey
- Mastering Metrics
- Online version of Causal Inference: The Mixtape
- Online version of The Effect: An Introduction to Research Design and Causality
- Online version of Impact Evaluation in Practice - Second Edition
- Online version of “Causal Inference: What if”
Recursos de STATA & R
- Sean Higgins’s Stata Guide
- Asjad Naqvi’s Stata tips
- Really Easy tool to make U.S Maps
- Si sabes STATA y quieres aprender R, esta pagina web te ayudara un monton: https://stata2r.github.io
Papers
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Hull (2018) working paper on mover designs discusses this
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- Difference-in-Differences with Multiple Time Periods (Callaway & Sant'anna, 2021)
- Estimating dynamic treatment effects in event studies with heterogeneous treatment effect Sun and Abraham (2021)
- Revisiting Event Study Designs: Robust and Efficient Estimation (Kirill Borusyak, Xavier Jaravel, Jann Spiess) RR ReSTUD
- Two-way Fixed Effects and Differences-in-Differences Estimators with Several Treatments (Clément de Chaisemartin and Xavier D'Haultfoeuille) JoE (2022/2023)
- Difference-in-Differences with Variation in Treatment Timing (2021) Andrew Goodman-Bacon. Journal of Econometrics
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Videos y Cursos
- Marginal University videos
- Las lectures de Paul Goldsmith-Pinkham estan disponibles aqui, y sus videos estan aqui
Aprender a Aprender
- A video explaining active recall and how to apply it
- Need great music for background? Check this great background noises for work
- Tempted to have things on? Try apps that block things for you like Freedom
Otros
Primer: Where to find data
- Guide to Applying for PhD Programs in Econ (Torsha Chakravorty, Aishwarya Kekre, Prerna Kundu, Lakshya Narula, and Vaibhav Ojha)
- En español: EconThaki tiene una guía para estudiantes de LAC sobre como comenzar tu camino hacia el doctorado
- IV Designs substack by Scott Cunningham
- The material from another causal inference class
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