The researchers found that in the presence of unknown heteroskedasticity, Ordinary Least Squares parameter estimator becomes inefficient. They discovered a more efficient estimator proposed by Cragg in 1983, which can provide reliable and better tests in small samples compared to the widely used estimator by Eicker and White.