Consider a random variable $X$ with density $f(x|\theta) = \theta x^{\theta-1}$ for $x \in (0, 1)$. Using the method of moments, we find $\hat{\theta}_{MM} = \frac{\bar{X}}{1-\bar{X}}$. How does the variance of this estimator behave as $n \to \infty$ compared to the Cramer-Rao Lower Bound (CRLB)?