Unobserved heterogeneity refers to the variation in data that cannot be directly measured or observed, yet influences the outcomes of interest in a study. It poses challenges for statistical analysis and can lead to biased estimates if not properly accounted for, often requiring advanced modeling techniques to mitigate its effects.