copy of lecture jit list from lectures-source-py

A list of lectures on dynamic programming and closely related topics we would like to jit in a similar way

[x] Job Search I: The McCall Search Model (previously jitted in a simple style, probably OK as is) @natashawatkins
[x] Job Search II: Search and Separation (previously jitted but needs to be put in same style as others) @natashawatkins
[x] A Problem that Stumped Milton Friedman @QBatista
[x] Job Search III: Search with Learning @natashawatkins
[x] Job Search IV: Modeling Career Choice #5 @natashawatkins
[x] Job Search V: On-the-Job Search @natashawatkins
[x] Optimal Growth I: The Stochastic Optimal Growth Model #4 @natashawatkins
[x] Optimal Growth II: Time Iteration @rebekahanne
[x] Optimal Growth III: The Endogenous Grid Method @bkaplowitz
[x] LQ Dynamic Programming Problems - nothing to be jitted in this lecture as all the code uses functions from QuantEcon.py
[x] Optimal Savings I: The Permanent Income Model @natashawatkins
[x] Optimal Savings II: LQ Techniques - nothing to be jitted in this lecture as all the code uses functions from QuantEcon.py
[ ] Consumption and Tax Smoothing with Complete and Incomplete Markets @rebekahanne
[x] Optimal Savings III: Occasionally Binding Constraints @shizejin
[x] Robustness - nothing to be jitted in this lecture as all the code uses functions from QuantEcon.py
[x] Asset Pricing II: The Lucas Asset Pricing Model @cc7768

Somewhat different structure but we still want to jit

[ ] The Aiyagari Model (substantial changes required --- use code from occasionally binding constraints lect)
[ ] Continuous State Markov Chains
[ ] Default Risk and Income Fluctuations (jitted but needs to be put in the same style as others)

jstac / jitting_py_lectures