A good estimator in econometrics should satisfy several desirable statistical properties to ensure reliable and meaningful inference. One of the most important properties is unbiasedness. An estimator is unbiased if its expected value is equal to the true population parameter. In repeated sampling, an unbiased estimator does not systematically overestimate or underestimate the parameter. Another key property is consistency. A consistent estimator converges in probability to the true parameter value as the sample size increases. This means that with larger samples, the estimator becomes increasingly accurate. Consistency is especially important in empirical research because large