Harvey Thompson
Harvey Thompson
This is now referring to the two new lectures on Cass-Koopmans [Cass-Koopmans Planning Problem](https://python-intro.quantecon.org/cass_koopmans_1.html) [Cass-Koopmans Competitive Equilibrium](https://python-intro.quantecon.org/cass_koopmans_2.html)
I've been in search of a way to set a seed once for the whole lecture and I noticed this.  It seems like the seed does not stay across...
That's what I thought but when I run the first cell it always returns 0.471... Is that consistent with what your saying @mmcky. I would have expected it to change.
Also using this type of method has issues with jitted classes and functions. I'm not sure jit can interpret the `seed` variable in the above pic. I've noticed that in...
I see. Thanks @mmcky
Hi @jstac that sounds like a great idea. I'll get on it
Hi @jstac from the research I did the main problem is setting a seed across all the threads. For example in the case of the gini coefficient curve the household...
PR #88 is related to this issue
Point of possible confusion. d is used in [McCall](https://python-intro.quantecon.org/mccall_model_with_separation.html#A-Simplifying-Transformation) for the expected value of unemployment tomorrow, while in [lake model](https://python-intro.quantecon.org/lake_model.html#The-Model) d is used to denote labour market exit rate.
in [lake](https://python-intro.quantecon.org/lake_model.html#Fiscal-Policy) `u` is used to denote both unemployment rate and the utility function