Description: 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? Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.
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Book Title: Causal Inference
Number of Pages: 224 Pages
Language: English
Publisher: MIT Press
Publication Year: 2023
Item Height: 0.8 in
Topic: Methodology, Probability & Statistics / General, General, Econometrics
Illustrator: Yes
Genre: Mathematics, Social Science, Science, Business & Economics
Item Weight: 6.3 Oz
Author: Paul R. Rosenbaum
Item Length: 7 in
Book Series: The MIT Press Essential Knowledge Ser.
Item Width: 5 in
Format: Trade Paperback
