Intro to Econometrics
Identification refers to the process of determining the causal relationships between variables in a statistical model. It is crucial for establishing whether a model can uniquely estimate the parameters of interest without ambiguity, ensuring that the effects attributed to one variable can be confidently interpreted as direct impacts rather than correlations. This concept is especially important when using econometric models, like the Heckman selection model, where issues of selection bias must be addressed.
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