@@ -271,7 +271,7 @@ class WealthDynamics(NamedTuple):
271271 w_hat: float = 1.0 # savings parameter
272272 s_0: float = 0.75 # savings parameter
273273 c_y: float = 1.0 # labor income parameter
274- μ_y: float = 1.0 # labor income parameter
274+ μ_y: float = 1.0 # labor income parameter
275275 σ_y: float = 0.2 # labor income parameter
276276 c_r: float = 0.05 # rate of return parameter
277277 μ_r: float = 0.1 # rate of return parameter
@@ -484,7 +484,7 @@ for μ_r in μ_r_vals:
484484
485485 model, z_mean, z_var, y_mean, R_mean = create_wealth_dynamics_model(μ_r=μ_r)
486486 gv, (f_vals, l_vals) = generate_lorenz_and_gini(model, z_mean, z_var, y_mean, key=subkey)
487- ax.plot(f_vals, l_vals, label=fr'$\psi^*$ at $\ mu_r = {μ_r:0.2 }$')
487+ ax.plot(f_vals, l_vals, label=fr'$\mu_r = {μ_r:0.3f }$')
488488 gini_vals.append(gv)
489489
490490ax.plot(f_vals, f_vals, label='equality')
@@ -531,7 +531,7 @@ for σ_r in σ_r_vals:
531531
532532 model, z_mean, z_var, y_mean, R_mean = create_wealth_dynamics_model(σ_r=σ_r)
533533 gv, (f_vals, l_vals) = generate_lorenz_and_gini(model, z_mean, z_var, y_mean, key=subkey)
534- ax.plot(f_vals, l_vals, label=fr'$\psi^*$ at $\ sigma_r = {σ_r:0.2 }$')
534+ ax.plot(f_vals, l_vals, label=fr'$\sigma_r = {σ_r:0.2f }$')
535535 gini_vals.append(gv)
536536
537537ax.plot(f_vals, f_vals, label='equality')
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