CAUSAL INFERENCE

• Date de parution : 04/04/2023
• Editeur : Mit Press
• EAN : 9780262545198
• Série : (-)
• Support : Papier

• Nombre de pages : 224
• Collection : (-)
• Genre : (-)
• Thème : Enseignement
• Prix littéraire(s) : (-)

A nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy.

Which of two antiviral drugs does the most to save people infected with Ebola virus? Does a daily glass of wine prolong or shorten life? Does winning the lottery... Voir plus

A nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy.

Which of two antiviral drugs does the most to save people infected with Ebola virus? Does a daily glass of wine prolong or shorten life? Does winning the lottery make you more or less likely to go bankrupt? How do you identify genes that cause disease? Do unions raise wages? Do some antibiotics have lethal side effects? Does the Earned Income Tax Credit help people enter the workforce?
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