Skip to content

Commit 290d43f

Browse files
committed
replace unicode characters in text with latex characters
1 parent b6d11d2 commit 290d43f

File tree

1 file changed

+14
-14
lines changed

1 file changed

+14
-14
lines changed

lectures/samuelson.md

Lines changed: 14 additions & 14 deletions
Original file line numberDiff line numberDiff line change
@@ -118,9 +118,9 @@ Let's assume that
118118
* $\{Y_t\}$ is a sequence of levels of national income, yet
119119
another endogenous variable.
120120

121-
- $$ is the marginal propensity to consume in the Keynesian
121+
- $\alpha$ is the marginal propensity to consume in the Keynesian
122122
consumption function $C_t = ⍺ Y_{t-1} + \gamma$.
123-
- $β$ is the "accelerator coefficient" in the "investment
123+
- $\beta$ is the "accelerator coefficient" in the "investment
124124
accelerator" $I_t = β (Y_{t-1} - Y_{t-2})$.
125125
- $\{\epsilon_{t}\}$ is an IID sequence standard normal random variables.
126126
- $\sigma \geq 0$ is a "volatility"
@@ -151,10 +151,10 @@ and the national income identity
151151
Y_t = C_t + I_t + G_t
152152
```
153153

154-
- The parameter $$ is peoples' *marginal propensity to consume*
154+
- The parameter $\alpha$ is peoples' *marginal propensity to consume*
155155
out of income - equation {eq}`consumption` asserts that people consume a fraction of
156-
$ \in (0,1)$ of each additional dollar of income.
157-
- The parameter $β > 0$ is the investment accelerator coefficient - equation
156+
$\alpha \in (0,1)$ of each additional dollar of income.
157+
- The parameter $\beta > 0$ is the investment accelerator coefficient - equation
158158
{eq}`accelerator` asserts that people invest in physical capital when
159159
income is increasing and disinvest when it is decreasing.
160160

@@ -173,7 +173,7 @@ or
173173
Y_t = \rho_1 Y_{t-1} + \rho_2 Y_{t-2} + (\gamma + G_t)
174174
```
175175

176-
where $\rho_1 = (⍺+β)$ and $\rho_2 = -β$.
176+
where $\rho_1 = (\alpha+\beta)$ and $\rho_2 = -\beta$.
177177

178178
To complete the model, we require two **initial conditions**.
179179

@@ -184,7 +184,7 @@ $$
184184
Y_{-1} = \bar Y_{-1}, \quad Y_{-2} = \bar Y_{-2}
185185
$$
186186

187-
We'll ordinarily set the parameters $(⍺,β)$ so that starting from
187+
We'll ordinarily set the parameters $(\alpha,\beta)$ so that starting from
188188
an arbitrary pair of initial conditions
189189
$(\bar Y_{-1}, \bar Y_{-2})$, national income $Y_t$ converges to
190190
a constant value as $t$ becomes large.
@@ -341,7 +341,7 @@ We say that $\check p$ is the **period** because in that amount of time the cosi
341341
(Draw a cosine function to convince yourself of this please)
342342

343343
**Remark:** Following {cite}`Samuelson1939`, we want to choose the parameters
344-
$⍺, β$ of the model so that the absolute values (of the possibly
344+
$\alpha, \beta$ of the model so that the absolute values (of the possibly
345345
complex) roots $\lambda_1, \lambda_2$ of the characteristic
346346
polynomial are both strictly less than one:
347347

@@ -360,7 +360,7 @@ We write a function to generate simulations of a $\{Y_t\}$ sequence as a functio
360360

361361
The function requires that we put in initial conditions for $Y_{-1}, Y_{-2}$.
362362

363-
The function checks that $⍺, β$ are set so that $\lambda_1, \lambda_2$ are less than
363+
The function checks that $\alpha, \beta$ are set so that $\lambda_1, \lambda_2$ are less than
364364
unity in absolute value (also called "modulus").
365365

366366
The function also tells us whether the roots are complex, and, if they are complex, returns both their real and complex parts.
@@ -477,7 +477,7 @@ plt.show()
477477
```
478478

479479
The graph portrays regions in which the $(\lambda_1, \lambda_2)$
480-
root pairs implied by the $(\rho_1 = (⍺+β), \rho_2 = - β)$
480+
root pairs implied by the $(\rho_1 = (\alpha+\beta), \rho_2 = - \beta)$
481481
difference equation parameter pairs in the Samuelson model are such that:
482482

483483
- $(\lambda_1, \lambda_2)$ are complex with modulus less than
@@ -492,7 +492,7 @@ difference equation parameter pairs in the Samuelson model are such that:
492492
convergence to the steady state without damped cycles.
493493

494494
Later we'll present the graph with a red mark showing the particular
495-
point implied by the setting of $(⍺,β)$.
495+
point implied by the setting of $(\alpha,\beta)$.
496496

497497
### Function to describe implications of characteristic polynomial
498498

@@ -614,7 +614,7 @@ $$
614614

615615
- The code assumes that these two complex numbers are the roots of the
616616
characteristic polynomial
617-
- It then reverse-engineers $(⍺,β)$ and $(\rho_1, \rho_2)$,
617+
- It then reverse-engineers $(\alpha,\beta)$ and $(\rho_1, \rho_2)$,
618618
pairs that would generate those roots
619619

620620
```{code-cell} ipython3
@@ -624,7 +624,7 @@ def f(r, ϕ):
624624
and creates ρ1 and ρ2 of characteristic polynomial for which
625625
r exp(j ϕ) and r exp(- j ϕ) are complex roots.
626626
627-
Returns the multiplier coefficient and the accelerator coefficient β
627+
Returns the multiplier coefficient $\alpha$ and the accelerator coefficient $\beta$
628628
that verifies those roots.
629629
"""
630630
g1 = cmath.rect(r, ϕ) # Generate two complex roots
@@ -969,7 +969,7 @@ class Samuelson():
969969
970970
.. math::
971971
972-
Y_t = α (1 + β) Y_{t-1} - α β Y_{t-2}
972+
Y_t = $\alpha$ (1 + $\beta$) Y_{t-1} - $\alpha$ $\beta$ Y_{t-2}
973973
974974
Parameters
975975
----------

0 commit comments

Comments
 (0)