You’ve run the regression.  You see the t’s, the β’s, and the p’s.  But what do they mean?  Don’t panic.  This book will tell you.

[T]he estimators in common use almost always have a simple interpretation that is not heavily model dependent….  A leading example is linear regression, which provides useful information about the conditional mean function regardless of the shape of this function.  Likewise, instrumental variables estimate an average causal effect for a well-defined population even if the instrument does not affect everyone.

Hooray!

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