Causal Inference: The Mixtape
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Krátky popis
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.
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