@arindube@instrumenthull Not really. Moments do not need to be causal for indirect inference to work. In fact, that’s the beauty of it as it is robust to misspecification (relative to e.g. IRF matching)
🔗 https://t.co/4YhwItLWag
1) Que un capítulo de la tesis sea un artículo anterior ya publicado es irrelevante. Es común y normal.
2) Que un capítulo de la tesis esté escrito con tu director es común y normal. Justo este año tengo un estudiante que va a emplear un artículo que ha escrito conmigo como parte de su tesis.
3) No autocitarse está un poco feo, pero es un pecado venial.
En resumen: no hay escándalo alguno. El periodista de OKDiario no entiende nada.
1st special session, by the @bankofengland, at the @MMF_research 2025 @UniofReading conference, on New Developments in the Analysis of Housing Markets for Monetary & Macroprudential Policy, chaired & opened by Simon Lloyd & with Juan Castellanos as a 1st speaker.
@RoyalEconSoc
📢 Calling all PhD Students! 📢
We’re excited to announce the 22nd Annual Transatlantic Doctoral Conference (TADC) at London Business School @LBS, happening on 5-6 June 2025!
⏳ Deadline: 23 March 2025
🔗 Submit your paper here: https://t.co/VbHqD2XEEJ
#EconTwitter#EconConf
REVISED WORKING PAPER ALERT 🚨🚨
Long overdue, but I am happy to share that a new version of my paper on structural estimation using Local Projections or VARs is now as @SSRN Working Paper
Read here: https://t.co/4YhwItLWag
🧵👇
Excited and proud of having defended my thesis at @EUI_ECO a couple days ago #PhDone 🧑🎓✅
Beyond grateful to my advisors, Russell and Ramon, and honored to have such an amazing external committee with @EichMartin & @glviolante
🧵New Research Bulletin by @JCS_101, A. Hannon and @GonPazPardo: “How tightening mortgage credit raises rents and increases inequality in the housing market” https://t.co/vMq88GKuSB 1/5
In the spirit of Li et al. (2024), I also look at a parameter by parameter metric that allows for different bias weights (omega) to capture the researcher preferences between bias and variance in the structural parameters.
Lesson #5: The presence of measurement error in the proxies used to estimate IRFs worsens the structural estimation outcome for both estimation methods and econometric models. Using unit normalization of IRFs helps ameliorating this problem.