GitHub

@@ -56,8 +56,6 @@ Subsequent lectures use the DLE class to implement various instances that have a

5656

1. {doc}`Cattle cycles <cattle_cycles>`

5757

1. {doc}`Shock Non Invertibility <hs_invertibility_example>`

585859-

>

60-6159

### Overview of the Models

62606361

In saying that "complete markets are all alike", Robert E. Lucas, Jr. was noting that all of them have

@@ -1264,16 +1262,14 @@ that satisfy the following conditions:

12641262

* Given the price system and given $h_{-1},\, k_{-1}$, the allocation solves the representative household’s problem and

12651263

the problems of the two types of firms.

126612641267-

>

1268-12691265

Versions of the two classical welfare theorems prevail under our assumptions.

1270126612711267

We exploit that fact in our algorithm for computing a competitive equilibrium.

1272126812731269

**Step 1:** Solve the planning problem by using dynamic programming.

127412701275-

> The allocation (i.e., **quantities**) that solve the planning problem **are** the

1276-

> competitive equilibrium quantities.

1271+

The allocation (i.e., **quantities**) that solve the planning problem **are** the

1272+

competitive equilibrium quantities.

1277127312781274

**Step 2:** use the following formulas to compute the **equilibrium price system**

12791275

@@ -1436,15 +1432,11 @@ Compare numbers of shocks in the two representations:

1436143214371433

* $n_w + n_y$ versus $n_y$

143814341439-

>

1440-14411435

Compare spaces spanned

1442143614431437

* $H(y^t) \subset H(w^t,v^t)$

14441438

* $H(y^t) = H(a^t)$

144514391446-

>

1447-14481440

**Kalman Filter:**.

1449144114501442

Kalman gain:

@@ -1608,8 +1600,6 @@ if

16081600

- $\color{blue}{\Pi}$ is nonsingular, and

16091601

- the absolute values of the eigenvalues of $\color{blue}{(\Delta_h - \Theta_h \Pi^{-1}\Lambda)}$ are strictly less than $1/\sqrt\beta$.

161016021611-

>

1612-16131603

**Key invertibility property:** A canonical household service

16141604

technology maps a service process $\{s_t\}$ in $L_0^2$

16151605

into a corresponding consumption process $\{c_t\}$ for which the

@@ -1790,8 +1780,6 @@ We provide details for a number of these examples in subsequent lectures

17901780

1. {doc}`Cattle cycles <cattle_cycles>`

17911781

1. {doc}`Shock Non Invertibility <hs_invertibility_example>`

179217821793-

>

1794-17951783

We'll start with an example of a **partial equilibrium** in which we posit demand and supply curves

1796178417971785

Suppose that we want to capture the dynamic demand curve:

@@ -1809,8 +1797,6 @@ From material described earlier in this lecture, we know how to reverse engineer

1809179718101798

* note how the demand equations are cast in terms of the matrices in our standard preference representation

181117991812-

>

1813-18141800

Now let's turn to supply.

1815180118161802

A representative firm takes as given and beyond its control the

@@ -2111,11 +2097,8 @@ We'll describe a class of permanent income models that feature

2111209721122098

- Many consumption goods and services

21132099

- A single capital good with $R \beta =1$

2114-21152100

- The physical production technology

211621012117-

>

2118-21192102

$$

21202103

\begin{aligned}

21212104

\phi_c \cdot c_t+i_t&=\gamma k_{t-1}+e_t \\

Read the original on github.com ↗