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MAIN: Update tauchen API according to new change in PR-664 (Quantecon.py) #289

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MAIN: Update tauchen API according to new change in PR-664 (Quantecon.py) #289

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8 changes: 4 additions & 4 deletions lectures/markov_asset.md
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Original file line number Diff line number Diff line change
Expand Up @@ -53,7 +53,7 @@ An asset is a claim on one or more future payoffs.

The spot price of an asset depends primarily on

* the anticipated income stream
* the anticipated income stream
* attitudes about risk
* rates of time preference

Expand Down Expand Up @@ -313,7 +313,7 @@ The next figure shows a simulation, where
* $g_t = \exp(X_t)$, so that $\ln g_t = X_t$ is the growth rate.

```{code-cell} ipython
mc = qe.tauchen(0.96, 0.25, n=25)
mc = qe.tauchen(n, 0.96, 0.25)
sim_length = 80

x_series = mc.simulate(sim_length, init=np.median(mc.state_values))
Expand Down Expand Up @@ -404,7 +404,7 @@ Here's the code, including a test of the spectral radius condition
```{code-cell} python3
n = 25 # Size of state space
β = 0.9
mc = qe.tauchen(0.96, 0.02, n=n)
mc = qe.tauchen(n, 0.96, 0.02)

K = mc.P * np.exp(mc.state_values)

Expand Down Expand Up @@ -566,7 +566,7 @@ class AssetPriceModel:
if mc is None:
self.ρ = 0.9
self.σ = 0.02
self.mc = qe.tauchen(self.ρ, self.σ, n=25)
self.mc = qe.tauchen(n, self.ρ, self.σ)
else:
self.mc = mc

Expand Down