Causal Inference: The Mixtape

January 26, 2021|
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.
Scott Cunningham is professor of economics at Baylor University. He is also coeditor of The Oxford Handbook of the Economics of Prostitution.
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Title:Causal Inference: The Mixtape
Format:Paperback
Product dimensions:584 pages, 8.5 X 5.5 X 1.17 in
Shipping dimensions:584 pages, 8.5 X 5.5 X 1.17 in
Published:January 26, 2021
Publisher:Yale University Press
Language:English
Appropriate for ages:All ages
ISBN - 13:9780300251685

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