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@@ -222,7 +222,7 @@ This equation can in turn be rearranged to become

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```{math}

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:label: sstack1

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q_{1t} + (1+\beta + c_1) q_{1t+1} - \beta q_{1t+2} = c_0 - c_2 q_{2t+1}

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- q_{1t} + (1+\beta + c_1) q_{1t+1} - \beta q_{1t+2} = c_0 - c_2 q_{2t+1}

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```

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Equation {eq}`sstack1` is a second-order difference equation in the sequence

@@ -306,10 +306,10 @@ subject to initial conditions for $q_{1t}, q_{2t}$ at $t=0$.

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**Remarks:** We have formulated the Stackelberg problem in a space of

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sequences.

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The max-min problem associated with Lagrangian

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The max-min problem associated with firm 2's Lagrangian

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{eq}`sstack4` is unpleasant because the time $t$

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component of firm $1$'s payoff function depends on the entire

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future of its choices of $\{q_{1t+j}\}_{j=0}^\infty$.

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component of firm $2$'s payoff function depends on the entire

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future of its choices of $\{q_{2t+j}\}_{j=0}^\infty$.

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This renders a direct attack on the problem cumbersome.

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@@ -723,7 +723,7 @@ condition $\check y_0 = \begin{bmatrix}\check z_0 \cr H^0_0 \check z_0\end{bmatr

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imply that for $t \geq 1$

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$$

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x_t = \sum_{j=1}^t H_j^t \check z_{t-j}

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\check x_t = \sum_{j=1}^t H_j^t \check z_{t-j}

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$$

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where

@@ -1045,7 +1045,7 @@ In the code below we compare two values

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- the continuation value $- y_t P y_t$ earned by a continuation

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Stackelberg leader who inherits state $y_t$ at $t$

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- the value of a **reborn Stackelberg leader** who inherits state

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$z_t$ at $t$ and sets $x_t = - P_{22}^{-1} P_{21}$

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$z_t$ at $t$ and is free to set $x_t = - P_{22}^{-1} P_{21}$

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The difference between these two values is a tell-tale sign of the time

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inconsistency of the Stackelberg plan

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