@@ -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
151151Y_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
173173Y_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
178178To complete the model, we require two ** initial conditions** .
179179
184184Y_{-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
188188an arbitrary pair of initial conditions
189189$(\bar Y_ {-1}, \bar Y_ {-2})$, national income $Y_t$ converges to
190190a 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
345345complex) roots $\lambda_1, \lambda_2$ of the characteristic
346346polynomial 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
361361The 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
364364unity in absolute value (also called "modulus").
365365
366366The 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
479479The 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 $(\rho_1 = (\alpha+\beta ), \rho_2 = - \beta )$
481481difference 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
494494Later 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
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 ----------
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