> Below is an example of the set of assumptions a DSGE is built upon:
> Perfect competition in all markets
> All prices adjust instantaneously
> Rational expectations
> No asymmetric information
> The competitive equilibrium is Pareto optimal
> Firms are identical and price takers
> Infinitely lived identical price-taking households
> to which the following frictions are added: > Distortionary taxes (Labour taxes) – to account for not lump-sum taxation
> Habit persistence (the period utility function depends on a quasi-difference of consumption)
> Adjustment costs on investments – to make investments less volatile
> Labour adjustment costs – to account for costs firms face when changing the level of employment
[1] https://en.wikipedia.org/wiki/Dynamic_stochastic_general_equ...Granted, I know a slight bit about general equilibrium theory, but nothing about DSGE.
Well, at least it doesn't create two incompatible Pythons like async and (I assume) free threading.
Because you can now use typing WITH the entire Python ecosystem.
Just the other day someone posted the ImageNet 2012 thread (https://news.ycombinator.com/item?id=4611830), which was basically the threshold moment that kickstarted deep learning for computer vision. Commenters claimed it doesn't prove anything, it's sensational, it's just one challenge with a few teams, etc. Then there is the famous comment when Dropbox was created that it could be replaced by a few shell scripts and an ftp server.
I think the house analogy fails because you cannot duplicate a house, take it somewhere else, and attempt to break into it there. If you could, that would undoubtedly be seen as a violation.
Yet in the end she still wanted to get a ring from one of the big names because that’s what she grew up with and what she had always dreamt of since young.
¯\_(ツ)_/¯
https://youtu.be/o2Nq--qU9Kc?si=DDs_73ZrEPs5UGK9&t=3684
No credentials whatsoever - IIRC a Bachelor's degree in English, but definitely not a professorship.