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60,49 €
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Causal Inference: The Mixtape
54,44 € 
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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 influ…
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- Author: Scott Cunningham
- Publisher: Yale University Press
- Year: 2021
- Pages: 584
- ISBN-10: 0300251688
- ISBN-13: 9780300251685
- Format: 13.7 x 21.3 x 4.5 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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An accessible, contemporary introduction to the methods for determining cause and effect in the social sciencesCausal 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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54,44 €
60,49 €
We will send in 10–14 business days.
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- Author: Scott Cunningham
- Publisher: Yale University Press
- Year: 2021
- Pages: 584
- ISBN-10: 0300251688
- ISBN-13: 9780300251685
- Format: 13.7 x 21.3 x 4.5 cm, minkšti viršeliai
- Language: English English
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 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.
Reviews