GitHub

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This lecture continues our analysis in this lecture

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{doc}`Cass-Koopmans Planning Model <cass_koopmans_1>` about the model that Tjalling Koopmans {cite}`Koopmans`

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and David Cass {cite}`Cass` used to study optimal growth.

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and David Cass {cite}`Cass` used to study optimal capital accumulation.

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This lecture illustrates what is, in fact, a

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more general connection between a **planned economy** and an economy

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organized as a **competitive equilibrium**.

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organized as a competitive equilibrium or a **market economy**.

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The earlier lecture {doc}`Cass-Koopmans Planning Model <cass_koopmans_1>` studied a planning problem and used ideas including

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- A min-max problem for solving the planning problem.

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- A Lagrangian formulation of the planning problem that leads to a system of difference equations.

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- A **shooting algorithm** for solving difference equations subject

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to initial and terminal conditions.

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- A **turnpike** property that describes optimal paths for

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long-but-finite horizon economies.

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The present lecture uses additional ideas including

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- Hicks-Arrow prices named after John R. Hicks and Kenneth Arrow.

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- A connection between some Lagrange multipliers in the min-max

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- Hicks-Arrow prices, named after John R. Hicks and Kenneth Arrow.

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- A connection between some Lagrange multipliers from the planning

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problem and the Hicks-Arrow prices.

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- A **Big** $K$ **, little** $k$ trick widely used in

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macroeconomic dynamics.

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* We shall encounter this trick in [this lecture](https://python.quantecon.org/rational_expectations.html)

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and also in [this lecture](https://python-advanced.quantecon.org/dyn_stack.html).

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- A non-stochastic version of a theory of the **term structure of

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interest rates**.

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- An intimate connection between the cases for the optimality of two

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competing visions of good ways to organize an economy, namely:

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- An intimate connection between two

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ways to organize an economy, namely:

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* **socialism** in which a central planner commands the

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allocation of resources, and

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* **capitalism** (also known as **a market economy**) in

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* **competitive markets** in

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which competitive equilibrium **prices** induce individual

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consumers and producers to choose a socially optimal allocation

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as an unintended consequence of their selfish

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as unintended consequences of their selfish

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decisions

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Let's start with some standard imports:

@@ -134,7 +134,7 @@ where $\delta \in (0,1)$ is a depreciation rate of capital.

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In this lecture {doc}`Cass-Koopmans Planning Model <cass_koopmans_1>`, we studied a problem in which a planner chooses an allocation $\{\vec{C},\vec{K}\}$ to

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maximize {eq}`utility-functional` subject to {eq}`allocation`.

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The allocation that solves the planning problem plays an important role in a competitive equilibrium as we shall see below.

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The allocation that solves the planning problem reappears in a competitive equilibrium, as we shall see below.

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## Competitive Equilibrium

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@@ -145,14 +145,16 @@ technology and preference structure as the planned economy studied in this lectu

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But now there is no planner.

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Market prices adjust to reconcile distinct decisions that are made

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There are (unit masses of) price taking consumers and firms.

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Market prices are set to reconcile distinct decisions that are made

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separately by a representative household and a representative firm.

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There is a representative consumer who has the same preferences over

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consumption plans as did the consumer in the planned economy.

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consumption plans as did a consumer in the planned economy.

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Instead of being told what to consume and save by a planner, the

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household chooses for itself subject to a budget constraint

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Instead of being told what to consume and save by a planner, a

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consumer (also known as a *household*) chooses for itself subject to a budget constraint

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- At each time $t$, the household receives wages and rentals

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of capital from a firm -- these comprise its **income** at

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- The representative household and the representative firm are both

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**price takers** who believe that prices are not affected by their choices

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**Note:** We can think of there being a large number

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$M$ of identical representative consumers and $M$

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**Note:** We can think of there being unit measures of identical representative consumers and

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identical representative firms.

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## Market Structure

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There are sequences of prices

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$\{w_t,\eta_t\}_{t=0}^T= \{\vec{w}, \vec{\eta} \}$

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where $w_t$ is a wage or rental rate for labor at time $t$ and

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$\eta_t$ is a rental rate for capital at time $t$.

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where

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- $w_t$ is a wage or rental rate for labor at time $t$

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In addition there is are intertemporal prices that work as follows.

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- $\eta_t$ is a rental rate for capital at time $t$

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Let $q^0_t$ be the price of a good at date $t$ relative

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In addition there is a vector $\{q_t^0\}$ of intertemporal prices where

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- $q^0_t$ is the price of a good at date $t$ relative

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to a good at date $0$.

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We call $\{q^0_t\}_{t=0}^T$ a vector of **Hicks-Arrow prices**,

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named after the 1972 economics Nobel prize winners.

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Evidently,

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Units of $q_t^0$ could be

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$$

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q^0_t=\frac{\text{number of time 0 goods}}{\text{number of time t goods}}

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\frac{\text{number of time 0 goods}}{\text{number of time t goods}}

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$$

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Because $q^0_t$ is a **relative price**, the units in terms of

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which prices are quoted are arbitrary -- we are free to normalize them.

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But because $q^0_t$ is a **relative price**, the units in terms of

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which prices are quoted are arbitrary, we are free to re-normalize them.

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## Firm Problem

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If $\frac{\partial F}{\partial \tilde k_t}> \eta_t$, then the

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firm makes positive profits on each additional unit of

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$\tilde k_t$, so it will want to make $\tilde k_t$

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$\tilde k_t$, so it would want to make $\tilde k_t$

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arbitrarily large.

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But setting $\tilde k_t = + \infty$ is not physically feasible,

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$\frac{\partial F}{\partial \tilde n_t}> w_t$.

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If $\frac{\partial \tilde k_t}{\partial \tilde k_t}< \eta_t$,

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the firm will set $\tilde k_t$ to zero, something that is not feasible.

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the firm would want to set $\tilde k_t$ to zero, which is not feasible.

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It is convenient to define

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$\vec{w} =\{w_0, \dots,w_T\}$and $\vec{\eta}= \{\eta_0, \dots, \eta_T\}$.

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k_{T+1}: \quad -\lambda q_0^{T+1} \leq 0, \ \leq 0 \text{ if } k_{T+1}=0; \ =0 \text{ if } k_{T+1}>0

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```

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Now we plug in our guesses of prices and embark on some algebra in the hope of derived all first-order necessary conditions

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Now we plug in our guesses of prices and embark on some algebra in the hope of recovering all first-order necessary conditions

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{eq}`constraint1`-{eq}`constraint4` for the planning problem from this lecture {doc}`Cass-Koopmans Planning Model <cass_koopmans_1>`.

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Combining {eq}`cond1` and {eq}`eq-price`, we get:

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\sum_{t=0}^T \beta^t \mu_{t} \left(C_t+ (K_{t+1} -(1-\delta)K_t)-f(K_t)+K_t f'(K_t)-f'(K_t)K_t\right) \leq 0

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$$

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which simplifies

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which simplifies to

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$$

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\sum_{t=0}^T \beta^t \mu_{t} \left(C_t +K_{t+1} -(1-\delta)K_t - F(K_t,1)\right) \leq 0

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which is exactly {eq}`eq-pr4`.

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So at our guess for the equilibrium price system, the allocation

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Thus, at our guess for the equilibrium price system, the allocation

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that solves the planning problem also solves the problem faced by a firm

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within a competitive equilibrium.

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plot_yield_curves(pp, 20, 0.3, k_ss/3, T_arr)

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```

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We aim to have more to say about the term structure of interest rates

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in a planned lecture on the topic.

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Read the original on github.com ↗