Jagdish Tripathy
@jagdishtrip
Adviser, Bank of England. PhD in Economics from UPF. All opinions my own.
ID: 64372430
https://sites.google.com/site/jagdishtripathy 10-08-2009 10:11:39
438 Tweet
188 Followers
330 Following
Happy to see this paper in the wild :). Comments welcome. Thanks Nicola Limodio !
Arpit Gupta John Horton If anyone on this thread is looking for resources to brush up on their Python, here's a criminally shameless plug for 'Coding for Economists': aeturrell.github.io/coding-for-eco… Please tell me what's not clear, what's missing, and what could be improved—contributions welcome!
I was told last night that this paper with eduardo yeyati and Nathan Converse was accepted at the @RevOfFinStudies! So happy about this outcome. Will do a 🧵 on the process and results soon, but now it’s time to celebrate!!
An example of the complacency that Soumaya Keynes writes about: with a fundamental macroeconomic problem of economic growth, the UK Research and Innovation and Economic and Social Research Council have awarded £0 in funding to research in macroeconomics in the last many years.
Great workshop on household finances and housing yesterday at the Bank of England bankofengland.co.uk/events/2022/ju… I learned a lot from outstanding presentations & discussions. Thanks for the opportunity to present joint work w Alina Bartscher Moritz Schularick & Ulrike Steins
Join Professor of Financial Economics Tarun Ramadorai [@TRamadorai] for his inaugural lecture Imperial College London titled 'Household decisions in financial markets: the structure beneath the surface' Register for online or in-person tickets here ⬇️ imprl.biz/3RC9IX0
New CEPR Discussion Paper - DP19123 Behavioral Lock-In: Aggregate Implications of Reference Dependence in the #Housing Market Cristian Badarinza NUS, @TRamadorai & Juhana Siljander Imperial College London, Jagdish Tripathy Bank of England ow.ly/VENc50S8aX2 #CEPR_MG #CEPR_PE
I got a comprehensive update on 'mech interp' from Neel Nanda at Google DeepMind. Neel helped make reading AI minds into a thriving field of ML. But he has had a change of heart: it's not the silver bullet he once hoped and many others still believe it to be. Still, they've