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Mastering 'Metrics: The Path from Cause to Effect Mastering 'Metrics: The Path from Cause to Effect by Joshua D. Angrist
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“By 1990, 85% of people in the developing world lived in countries where the government considered high fertility to be a major force perpetuating poverty.14”
― Joshua D. Angrist, Mastering 'Metrics: The Path from Cause to Effect
“The CLT tells us that with enough data, the distribution of the t-statistic is smooth and bell-shaped even though the distribution of the underlying data has only two values.”
― Joshua D. Angrist, Mastering 'Metrics: The Path from Cause to Effect
“The Bible recounts how this experiment supported Daniel’s conjecture regarding the relative healthfulness of a vegetarian diet, though as far as we know Daniel himself didn’t get an academic paper out of it.”
― Joshua D. Angrist, Mastering 'Metrics: The Path from Cause to Effect
“The principal challenge facing masters of ’metrics is elimination of the selection bias that arises from such unobserved differences.”
― Joshua D. Angrist, Mastering 'Metrics: The Path from Cause to Effect
“Acts demolish their alternatives, that is the paradox.” We can’t know what lies at the end of the road not taken.”
― Joshua D. Angrist, Mastering 'Metrics: The Path from Cause to Effect