Exercise 2.5

Anticipated Endowment Shocks

⬅ Return

Problem

Consider a small open endowment economy with free capital mobility. Preferences are described by the utility function

\[ - \frac{1}{2} \mathbb{E}_0 \sum_{t=0}^{\infty} \beta^t (c_t - c)^2, \]

where \(\beta \in (0, 1)\). Agents have access to a risk-free internationally traded bond paying the constant interest rate \(r\), satisfying \(\beta(1 + r) = 1\). The representative household starts period zero with the initial debt position \(d_{-1}\). Each period \(t \geq 0\), the household receives an endowment \(y_t\), which obeys the law of motion:

\[ y_t - \bar{y} = \rho(y_{t-1} - \bar{y}) + \varepsilon_{t-1}, \]

where \(\varepsilon_{t-1}\) is an i.i.d. shock with mean zero and standard deviation \(\sigma_\varepsilon\), \(\bar{y} > 0\), and \(\rho \in [0, 1)\). Notice that households know already in period \(t - 1\) the level of \(y_t\) with certainty.

  1. Find the equilibrium processes of consumption and the current account.

  2. Compute the correlation between the current account and output, \(\text{corr}(ca_t, y_t)\). Compare your result with the standard AR(1) case in which \(y_t - \bar{y} = \rho(y_{t-1} - \bar{y}) + \varepsilon_t.\)

Answer

1.

The representative household maximizes utility:

\[ \max_{\{c_t\}} - \frac{1}{2} \mathbb{E}_0 \sum_{t=0}^\infty \beta^t (c_t - c)^2 \]

subject to the budget constraint:

\[ d_t = (1 + r) d_{t-1} + c_t - y_t, \]

and transversality. With \(\beta(1 + r) = 1\), the optimal consumption rule becomes:

\[ c_t = y_t^p - r d_{t-1} \]

where \(y_t^p\) is the annuity value of expected future income:

\[ y_t^p = r \sum_{s=0}^\infty \frac{1}{(1 + r)^s} \mathbb{E}_t[y_{t+s}] \]

Given anticipated shocks, we have:

\[ \mathbb{E}_t[y_{t+s}] = \bar{y} + \rho^s (y_t - \bar{y}) \]

Therefore,

\[ \begin{aligned} y_t^p - \bar{y} &= r \sum_{s=0}^\infty \frac{\rho^s}{(1 + r)^s} (y_t - \bar{y}) \\ &= \frac{r}{1 + r - \rho}(y_t - \bar{y}) \end{aligned} \]

But since \(y_t\) itself is known one period in advance and contains \(\varepsilon_{t-1}\), an extra deterministic component arises. Thus:

\[ y_t^p - \bar{y} = \frac{r}{1 + r - \rho}(y_t - \bar{y}) + \frac{r}{1 + r} \cdot \frac{1}{1 + r - \rho} \varepsilon_t \]

and hence:

\[ c_t = y_t^p - r d_{t-1}, \]

\[ ca_t = y_t - y_t^p \]

2.

Standard AR(1):

With

\[ y_t - \bar{y} = \rho(y_{t-1} - \bar{y}) + \varepsilon_t, \]

the current account is:

\[ ca_t = \frac{1 - \rho}{1 + r - \rho} (y_t - \bar{y}), \]

so

\[ \text{corr}(ca_t, y_t) = 1 \]

Anticipated Shocks:

Anticipation smooths the income process, reducing surprise and volatility in the current account. After applying covariance algebra, we find:

\[ \text{corr}(ca_t, y_t) = \frac{1}{\sqrt{1 + \left( \frac{r}{1 + r} \right)^2 \cdot \frac{1 - \rho^2}{(1 - \rho)^2}}} < 1 \]