Causal inference in observational settings seeks to estimate the effect of exposures, treatments or interventions on outcomes in the absence of random assignment. Unlike experimental designs, ...
Econometric and statistical methods furnish a structured toolkit for quantifying relationships, testing causal mechanisms and uncovering latent structure in data. Core approaches include regression ...