The researchers found that standard errors in small sample sizes can be underestimated when using a specific statistical method. They discovered that this underestimation is due to the variability introduced by using initial estimates in the calculation. By adjusting for this extra variation, they were able to provide a more accurate estimate of the variance, leading to better results in their study of panel data models.