Exercise 4.13

An SOE-RBC Model with Cobb-Douglas Preferences

⬅ Return

Problem

Modify the period utility function of the EDEIR model as follows:

\[ U(c,h) = \frac{\left[ c^{1-\omega}(1-h)^{\omega} \right]^{1-\sigma}-1} {1-\sigma}. \]

All other features of the model are unchanged.

Table 4.1: Calibration of the EDEIR Small Open RBC Economy

Parameter \(\sigma\) \(\delta\) \(r^*\) \(\alpha\) \(\bar{d}\) \(\omega\) \(\phi\) \(\psi_1\) \(\rho\) \(\tilde{\eta}\)
Value 2 0.1 0.04 0.32 0.7442 1.455 0.028 0.000742 0.42 0.0129
  1. Derive analytically the steady state of the model.

  2. Set all parameters of the model as in Table 4.1, except for \(\omega\). Calibrate \(\omega\) to ensure that in the deterministic steady state, hours equal 1/3 (i.e., ensure that in the steady state, households spend one-third of their time working). Calculate the implied value of \(\omega\).

  3. Produce a table of predicted second moments similar to Table 4.2. When performing this step, you might find it convenient to use as a starting point the Matlab programs for the EDEIR SOE-RBC model posted online.

  4. Compare the predictions of the present model with those of its GHH-preference counterpart.

Answer

1. Steady State with Cobb-Douglas Preferences

\[ -\frac{U_h}{U_c} = \frac{\omega}{1-\omega}\frac{c}{1-h} \]

Then (4.11) is:

\[ \frac{\omega}{1-\omega}\frac{c_t}{1-h_t} = (1-\alpha)A_t(k_t/h_t)^{\alpha} \tag{*} \]

Steady state: Given

\[h = 1/3\]

Calibrated parameters are: \(\alpha\), \(\bar{d}\), \(r^*\), \(A = 1\), and \(\delta\). From page 82:

\[ \beta^{-1} = 1 + r^* \]

\[ \kappa = \frac{k}{h} = \left(\frac{\alpha}{\beta^{-1} - 1 + \delta}\right)^{\frac{1}{1-\alpha}} \]

\[ k = \kappa h \]

By (4.16):

\[ c = \kappa^{\alpha}h - r^*\bar{d} - \delta k \]

By (*):

\[ \frac{\omega}{1-\omega}\frac{c}{1-h} = (1-\alpha)\kappa^{\alpha} \]

Solve for \(\omega\):

\[ \omega = \frac{Z}{1+Z}; \quad \text{where } Z \equiv \frac{(1-\alpha)\kappa^{\alpha}(1-h)}{c} \]

2.

\[ \omega = 0.6567 \]

3.

Table 4.2: Cobb Douglas

Variable Std. Dev. Serial Corr. Corr. with \(y\)
\(y\) 2.7853 0.6546 1.0000
\(c\) 0.8461 0.8775 0.2520
\(i\) 11.2857 -0.0815 0.5053
\(h\) 1.7995 0.7523 0.9529
\(tb/y\) 2.5948 0.4772 0.4477
\(ca/y\) 2.3534 0.4129 0.3622

In This table: Original

Variable Std. Dev. Serial Corr. Corr. with \(y\)
\(y\) 3.0826 0.6170 1.0000
\(c\) 2.7064 0.7822 0.8441
\(i\) 9.0391 0.0686 0.6688
\(h\) 2.1186 0.6170 1.0000
\(tb/y\) 1.7782 0.5085 -0.0435
\(ca/y\) 1.4529 0.3220 0.0503

4. Comparison

With income-elastic labor supply (Cobb-Douglas), hours are, as expected, somewhat less volatile than under income-inelastic labor supply (GHH). The largest difference in second moments, however, appears in consumption. Consumption is much less volatile (0.85 percent under Cobb-Douglas versus 2.71 percent under GHH) and less correlated with output (0.25 versus 0.84). The different cyclicality of consumption also affects the trade balance, which becomes procyclical, with a correlation of 0.45 with output.

The impact response of the trade balance (not shown) remains negative because investment rises sharply on impact under both Cobb-Douglas and GHH preferences. Since investment exhibits near-zero serial correlation in both cases, the post-impact dynamics of the trade balance are driven largely by consumption. Because consumption increases only modestly during the output boom triggered by a positive technology shock, the trade balance turns positive after the impact period and is therefore procyclical overall.

End of Answer