Endogeneity refers to a situation in statistical models where an explanatory variable is correlated with the error term, leading to biased and inconsistent parameter estimates. This issue often arises due to omitted variable bias, measurement error, or simultaneous causality, and can be addressed using methods like instrumental variables or fixed effects models.