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Marginal effects significance vs original model effects significance

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I often get questions like "This variable has significant effects in the original (logit/probit/heckprobit/whatever) model. But its marginal effect is not significant. Why?" Or vice-versa. I tend to just say that different hypotheses are being tested. But can somebody give a more elegant or complete explanation?

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