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2023.04.02 22:24

Causal Inference: The Mixtape by Scott Cunningham

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An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences   Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.

Causal Inference: The Mixtape: Cunningham, Scott
Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of 
Causal Inference: The Mixtape - Bookshop
Description. An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences. Causal inference encompasses 
johnson-shuffle/mixtape-code: Code for Causal - GitHub
Code for Causal Inference: The Mixtape by Scott Cunningham - johnson-shuffle/mixtape-code.
11 Conclusion | Causal Inference
Causal Inference: The Mixtape Causal inference is an important and fun area. an intuitive and a philosophically stimulating way to think about causal effects.
johnson-shuffle/mixtape: Data for Causal Inference: The
johnson-shuffle/mixtape: Data for Causal Inference: The Mixtape by Scott Cunningham. Provides the datasets used in the book "Casual Inference: The Mixtape" 
EDP 381C-14: Causal Inference Spring 2020, Tues/Thur, 11
Cunningham (2019). Causal Inference: The Mixtape. Available at https://www.scunning.com/mixtape.html. Computing. In-class software demonstrations will use 

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