Quantile Regression

Quantile regression is a statistical technique used to understand how different factors influence various points (or quantiles) in a distribution, rather than just the average outcome. For example, while traditional regression tells you about the average impact of an education on income, quantile regression can show how education affects low, middle, and high earners differently. This approach provides a more complete picture of relationships within data, revealing insights that might be missed when only focusing on the mean, thus helping in understanding inequalities and variations among different groups.