Treatment effect estimation is a statistical approach used to determine the causal impact of an intervention or treatment on an outcome variable. It is crucial in fields like healthcare, economics, and social sciences to assess the effectiveness of policies or therapies by comparing treated and control groups, often using methods to address issues like confounding and selection bias.