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Causal Inference | 1:a upplagan
- Danskt band, Engelska, 2021
- Författare: Scott Cunningham
- Betyg:
356
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Beskrivning
An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences
“Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC)
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.
“Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC)
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.
Om denna bok
Causal Inference av Scott Cunningham är en Danskt band bok med 584 sidor på Engelska. Detta är den 1:a upplagan som utgavs 2021 av John Wiley And Sons Ltd.
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Används vid svenska universitet
Denna kurslitteratur används aktivt i 1 universitetskurser vid lärosäten runt om i Sverige, inklusive:
- Örebro universitet: NA439A
Boken är särskilt populär inom Ekonomi & management-programmen.
Produktinformation
Kategori:
Ekonomi & management
Bandtyp:
Danskt band
Språk:
Engelska
ISBN:
9780300251685
Upplaga:
1
Utgiven:
2021-02-16
Förlag:
John Wiley And Sons Ltd
Sidantal:
584