minor update

Author: HumphreyYang

lectures/mccall_correlated.md

@@ -26,12 +26,20 @@ kernelspec:
 In addition to what's in Anaconda, this lecture will need the following libraries:
 
 ```{code-cell} ipython
----
-tags: [hide-output]
----
+:tags: [hide-output]
+
 !pip install quantecon
 ```
 
+We also need to install JAX to run this lecture
+
+```{code-cell} ipython3
+:tags: [skip-execution]
+
+!pip install -U jax
+```
+
+
 ## Overview
 
 In this lecture we solve a {doc}`McCall style job search model <mccall_model>` with persistent and
@@ -89,7 +97,7 @@ v^*(w, z) =
     \right\}
 $$
 
-In this express, $u$ is a utility function and $\mathbb E_z$ is expectation of next period variables given current $z$.
+In this expression, $u$ is a utility function and $\mathbb E_z$ is expectation of next period variables given current $z$.
 
 The variable $z$ enters as a state in the Bellman equation because its current value helps predict future wages.