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Merge pull request #102 from QuantEcon/olg
Add OLG lecture
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in-work/OLG.md

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---
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jupytext:
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text_representation:
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extension: .md
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format_name: myst
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format_version: 0.13
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jupytext_version: 1.14.4
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kernelspec:
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display_name: Python 3 (ipykernel)
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language: python
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name: python3
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---
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# The Overlapping Generations Model
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In this lecture we study the overlapping generations model.
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This model provide controllable alternative to infinite-horizon representative agent.
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The dynamics of this model in some special cases are quite similar to Solow model.
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## The Model
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Let's assume that:
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- Time is discrete and runs to infinity.
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- Each individual lives for two time periods.
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- Individuals born at time $t$ live for dates $t$ and $t + 1$.
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Suppose that the utility functions take the familiar Constant Relative Risk Aversion (CRRA) form, given by:
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```{math}
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:label: eq_crra
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U(t) = \frac{c_1(t)^{1-\theta}-1}{1-\theta} +
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\beta \left( \frac{c_2(1+t)^{1-\theta}-1}{1-\theta} \right )
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```
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where,
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- $\theta > 0$, and $\beta \in (0, 1)$ is the discount factor.
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- $c_1(t)$: consumption of the individual born at $t$.
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- $c_2(t)$: consumption of the individual at $t+1$.
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For each integer $t \geq 0$, output $Y(t)$ in period $t$ is given by
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$$
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Y(t) = F(K(t), L(t))
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$$
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where $K(t)$ is capital, $L(t)$ is labor and $F$ is an aggregate
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production function.
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Without population growth, $L(t)$ equals some constant $L$.
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Setting $k(t) := K(t) / L$, $f(k)=F(K, 1)$ and using homogeneity of degree one now yields:
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$$
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1 + r(t) = R(t) = f'(k(t))
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$$
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The gross rate of return to saving is equal to the rental rate of capital.
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And, the wage rate is given by,
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$$
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w(t) = f(k(t)) - k (t)f'(k(t))
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$$
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Savings by an individual of generation $t$, $s(t)$, is determined as a
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solution to:
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$$
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\begin{aligned}
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\max_{c_1(t), c_2(t+1), s(t)} \ & u(c_1 (t)) + \beta u(c_2(t + 1)) \\
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\mbox{subject to } \ & c_1(t) + s(t) \le w(t) \\
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& c_2(t + 1) \le R (t + 1)s(t)\\
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\end{aligned}
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$$
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Second constraint incorporates notion that individuals only spend
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money on their own end of life consumption.
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Solving for consumption and thus for savings,
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$$
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s(t) = s(w(t), R(t + 1))
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$$
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Total savings in the economy will be equal to:
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$$
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S(t) = s(t) L(t)
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$$
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We assume a closed economy, so domestic investment equals aggregate domestic
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saving. Therefore, we have
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$$
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K(t + 1) = L(t) s(w (t), R (t + 1))
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$$
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Setting $k(t) := K(t) / L(t)$, where $L(t + 1) = (1 + n) L(t),$ and using homogeneity of degree one now yields:
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```{math}
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:label: k_dyms
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k(t) = \frac{s(w (t), R (t + 1))}{1 + n}
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```
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A steady state is given by a solution to this equation such that
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$k(t + 1) = k (t) = k^*$, i.e,
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```{math}
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:label: k_star
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k^* = \frac{s(f(k^*)-k^*f'(k^*), f'(k^*))}{1+n}
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```

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