diff --git a/in-work/OLG.md b/in-work/OLG.md
deleted file mode 100644
index bc45fbec2..000000000
--- a/in-work/OLG.md
+++ /dev/null
@@ -1,116 +0,0 @@
----
-jupytext:
-  text_representation:
-    extension: .md
-    format_name: myst
-    format_version: 0.13
-    jupytext_version: 1.14.4
-kernelspec:
-  display_name: Python 3 (ipykernel)
-  language: python
-  name: python3
----
-
-
-# The Overlapping Generations Model
-
-In this lecture we study the overlapping generations model.
-
-This model provide controllable alternative to infinite-horizon representative agent.
-The dynamics of this model in some special cases are quite similar to Solow model.
-
-## The Model
-
-Let's assume that:
-
-- Time is discrete and runs to infinity.
-- Each individual lives for two time periods.
-- Individuals born at time $t$ live for dates $t$ and $t + 1$.
-
-Suppose that the utility functions take the familiar Constant Relative Risk Aversion (CRRA) form, given by:
-
-```{math}
-:label: eq_crra
-    U(t) = \frac{c_1(t)^{1-\theta}-1}{1-\theta} +
-           \beta \left( \frac{c_2(1+t)^{1-\theta}-1}{1-\theta} \right )
-```
-where,
-
-- $\theta > 0$, and $\beta \in (0, 1)$ is the discount factor.
-- $c_1(t)$: consumption of the individual born at $t$.
-- $c_2(t)$: consumption of the individual at $t+1$.
-
-For each integer $t \geq 0$, output $Y(t)$ in period $t$ is given by
-$$
-Y(t) = F(K(t), L(t))
-$$
-where $K(t)$ is capital, $L(t)$ is labor and $F$ is an aggregate
-production function.
-
- 
-Without population growth, $L(t)$ equals some constant $L$.
-
-Setting $k(t) := K(t) / L$, $f(k)=F(K, 1)$ and using homogeneity of degree one now yields:
-
-$$
-    1 + r(t) = R(t) = f'(k(t))
-$$
-The gross rate of return to saving is equal to the rental rate of capital.
-
-And, the wage rate is given by,
-
-$$
-    w(t) = f(k(t)) - k (t)f'(k(t))
-$$
-
-
-Savings by an individual of generation $t$, $s(t)$, is determined as a
-solution to:
- 
-
-$$
-    \begin{aligned}
-    \max_{c_1(t), c_2(t+1), s(t)} \ & u(c_1 (t)) + \beta u(c_2(t + 1)) \\
-    \mbox{subject to } \ & c_1(t) + s(t) \le w(t) \\
-                         & c_2(t + 1) \le R (t + 1)s(t)\\
-    \end{aligned}
-$$
-
-Second constraint incorporates notion that individuals only spend
-money on their own end of life consumption.
-
-Solving for consumption and thus for savings,
-
-$$
-    s(t) = s(w(t), R(t + 1))
-$$
-
-Total savings in the economy will be equal to:
-
-$$
-    S(t) = s(t) L(t)
-$$
-
-We assume a closed economy, so domestic investment equals aggregate domestic
-saving. Therefore, we have
-
-$$
-    K(t + 1) = L(t) s(w (t), R (t + 1))
-$$
-
-Setting $k(t) := K(t) / L(t)$, where $L(t + 1) = (1 + n) L(t),$ and using homogeneity of degree one now yields:
-
-```{math}
-:label: k_dyms
-    k(t) = \frac{s(w (t), R (t + 1))}{1 + n}
-```
-
-
-
-A steady state is given by a solution to this equation such that
-$k(t + 1) = k (t) = k^*$, i.e,
-
-```{math}
-:label: k_star
-    k^* = \frac{s(f(k^*)-k^*f'(k^*), f'(k^*))}{1+n}
-```
diff --git a/lectures/_toc.yml b/lectures/_toc.yml
index 0765a44e0..8feeadd5f 100644
--- a/lectures/_toc.yml
+++ b/lectures/_toc.yml
@@ -28,6 +28,7 @@ parts:
   - file: schelling
   - file: solow
   - file: cobweb
+  - file: olg
 - caption: Other
   numbered: true
   chapters:
diff --git a/lectures/olg.md b/lectures/olg.md
new file mode 100644
index 000000000..863dfadf7
--- /dev/null
+++ b/lectures/olg.md
@@ -0,0 +1,159 @@
+---
+jupytext:
+  text_representation:
+    extension: .md
+    format_name: myst
+    format_version: 0.13
+    jupytext_version: 1.14.4
+kernelspec:
+  display_name: Python 3 (ipykernel)
+  language: python
+  name: python3
+---
+
+
+# The Overlapping Generations Model
+
+In this lecture we study the overlapping generations (OLG) model.
+
+The dynamics of this model are quite similar to Solow-Swan growth model.
+
+At the same time, the OLG model adds an important new feature: the choice of
+how much to save is endogenous.
+
+To see why this is important, suppose, for example, that we are interested in
+predicting the effect of a new tax on long-run growth.
+
+We could add a tax to the Solow-Swan model and look at the change in the
+steady state.
+
+But this ignores something important: households will change their behavior
+when they face the new tax rate.
+
+Some might decide to save less, and some might decide to save more.
+
+Such changes can substantially alter the predictions of the model.
+
+Hence, if we care about accurate predictions, we should model the decision
+problems of the agents.
+
+In particular, households in the model should decide how much to save and how
+much to consume, given the environment that they face (technology, taxes,
+prices, etc.)
+
+The OLG model takes up this challenge.
+
+We will present a simple version of the OLG model that clarifies the decision
+problem of households and studies the implications for long run growth.
+
+
+## The Model
+
+We assume that
+
+- time is discrete, so that $t=0, 1, \ldots$ and
+- individuals born at time $t$ live for two periods: dates $t$ and $t + 1$.
+
+
+### Preferences
+
+Suppose that the utility functions take the familiar constant relative risk
+aversion (CRRA) form, given by:
+
+```{math}
+:label: eq_crra
+    U_t = \frac{c^1_t^{1-\gamma}-1}{1-\gamma} +
+           \beta \left( \frac{c^2_{t+1}^{1-\gamma}-1}{1-\gamma} \right )
+```
+
+Here
+
+- $\gamma$ is a parameter and $\beta \in (0, 1)$ is the discount factor
+- $c^1_t$ is time $t$ consumption of the individual born at time $t$
+- $c^2_t$ is time $t+1$ consumption of the same individual (born at time $t$)
+
+### Production
+
+For each integer $t \geq 0$, output $Y_t$ in period $t$ is given by
+
+$$
+    Y_t = F(K_t, L_t)
+$$
+
+Here $K_t$ is capital, $L_t$ is labor and $F$ is an aggregate production function.
+
+Without population growth, $L_t$ equals some constant $L$.
+
+### Prices
+
+Setting $k_t := K_t / L$, $f(k)=F(K, 1)$ and using homogeneity of degree one now yields:
+
+$$
+    1 + r_t = R_t = f'(k_t)
+$$
+
+The gross rate of return to saving is equal to the rental rate of capital.
+
+The wage rate is given by
+
+$$
+    w_t = f(k_t) - k_t f'(k_t)
+$$
+
+
+
+### Equilibrium
+
+Savings by an individual of generation $t$, $s_t$, is determined as a
+solution to:
+
+$$
+    \begin{aligned}
+    \max_{c^1_t, c^2_{t+1}, s_t} \ & u(c^1_t) + \beta u(c^2_{t+1}) \\
+    \mbox{subject to } \ & c^1_t + s_t \le w_t \\
+                         & c^2_{t+1} \le R_{t+1}s_t\\
+    \end{aligned}
+$$
+
+The second constraint incorporates notion that individuals only spend
+money on their own end of life consumption.
+
+Solving for consumption and thus for savings,
+
+$$
+    s_t = s(w_t, R_{t+1})
+$$
+
+Total savings in the economy will be equal to:
+
+$$
+    S_t = s_t L_t
+$$
+
+
+
+### Dynamics
+
+We assume a closed economy, so domestic investment equals aggregate domestic
+saving. Therefore, we have
+
+$$
+    K_{t+1} = L_t s(w_t, R_{t+1})
+$$
+
+Setting $k_t := K_t / L_t$, where $L_{t+1} = (1 + n) L_t,$ and using homogeneity of degree one now yields:
+
+```{math}
+:label: k_dyms
+    k_t = \frac{s(w_t, R_{t+1})}{1 + n}
+```
+
+
+
+A steady state is given by a solution to this equation such that
+$k_{t+1} = k_t = k^*$, i.e,
+
+```{math}
+:label: k_star
+    k^* = \frac{s(f(k^*)-k^*f'(k^*), f'(k^*))}{1+n}
+```