Fix links (#42)

* Fix broken link

* Fix broken refernces

* Fix broken links

---------

Co-authored-by: HengCheng <79777246+2789372130@users.noreply.github.com>

Author: HengchengZhang

lectures/about.md

@@ -21,5 +21,5 @@ In particular, we thank and credit
 - [Matthew McKay](https://github.com/mmcky)
 - [Humphrey Yang](https://github.com/HumphreyYang)
 - [Hengcheng Zhang](https://github.com/HengchengZhang)
-- [Frank Wu](https://github.com/https://github.com/chappiewuzefan)
+- [Frank Wu](https://github.com/chappiewuzefan)
 

lectures/aiyagari_jax.md

@@ -29,16 +29,16 @@ The model features
 
 The Aiyagari model has been used to investigate many topics, including
 
-- precautionary savings and the effect of liquidity constraints [[Aiy94](https://python.quantecon.org/zreferences.html#id137)]
-- risk sharing and asset pricing [[HL96](https://python.quantecon.org/zreferences.html#id129)]
-- the shape of the wealth distribution [[BBZ15](https://python.quantecon.org/zreferences.html#id130)]
+- precautionary savings and the effect of liquidity constraints [[Aiy94](https://python.quantecon.org/zreferences.html#id138)]
+- risk sharing and asset pricing [[HL96](https://python.quantecon.org/zreferences.html#id130)]
+- the shape of the wealth distribution [[BBZ15](https://python.quantecon.org/zreferences.html#id131)]
 
 
 ### References
 
-The primary reference for this lecture is [[Aiy94](https://python.quantecon.org/zreferences.html#id137)].
+The primary reference for this lecture is [[Aiy94](https://python.quantecon.org/zreferences.html#id138)].
 
-A textbook treatment is available in chapter 18 of [[LS18](https://python.quantecon.org/zreferences.html#id182)].
+A textbook treatment is available in chapter 18 of [[LS18](https://python.quantecon.org/zreferences.html#id183)].
 
 A less sophisticated version of this lecture (without JAX) can be found
 [here](https://python.quantecon.org/aiyagari.html).

lectures/newtons_method.md

@@ -40,7 +40,7 @@ print(jax.devices())
 
 ## The Two Goods Market Equilibrium
 
-Let's have a quick recap of this problem -- a more detailed explanation and derivation can be found at [A Two Goods Market Equilibrium](https://python.quantecon.org/newton_method.html#two_goods_market).
+Let's have a quick recap of this problem -- a more detailed explanation and derivation can be found at [A Two Goods Market Equilibrium](https://python.quantecon.org/newton_method.html#two-goods-market).
 
 Assume we have a market for two complementary goods where demand depends on the price of both components.
 
@@ -135,7 +135,7 @@ The iteration starts from some initial guess of the price vector $p_0$.
 
 Here, instead of coding Jacobian by hand, We use the `jax.jacobian()` function to auto-differentiate and calculate the Jacobian.
 
-With only slight modification, we can generalize [our previous attempt](https://python.quantecon.org/newton_method.html#first_newton_attempt) to multi-dimensional problems
+With only slight modification, we can generalize [our previous attempt](https://python.quantecon.org/newton_method.html#first-newton-attempt) to multi-dimensional problems
 
 ```{code-cell} ipython3
 def newton(f, x_0, tol=1e-5, max_iter=15):