The relevance condition is a fundamental concept in causal inference that ensures an instrumental variable is correlated with the endogenous explanatory variable, thereby allowing for valid estimation of causal effects. This condition is crucial because it establishes that the instrument can effectively predict the variation in the endogenous variable, which is necessary for accurately inferring causal relationships between variables.
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