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Kausale Schlussfolgerung: Das Mixtape von Scott Cunningham Taschenbuch/Softback Buch The-

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Causal Inference: The Mixtape by Scott Cunningham Paperback / softback Book The
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ISBN
0300251688
EAN
9780300251685
Date of Publication
2021-02-16
Release Title
Causal Inference: The Mixtape
Artist
Scott Cunningham
Brand
N/A
Colour
N/A
Book Title
Causal Inference: The Mixtape

Über dieses Produkt

Product Identifiers

Publisher
Yale University Press
ISBN-10
0300251688
ISBN-13
9780300251685
eBay Product ID (ePID)
27050022417

Product Key Features

Number of Pages
584 Pages
Language
English
Publication Name
Causal Inference : the Mixtape
Publication Year
2021
Subject
Probability & Statistics / General, General, Econometrics, Applied
Type
Textbook
Author
Scott Cunningham
Subject Area
Mathematics, Social Science, Business & Economics
Format
Trade Paperback

Dimensions

Item Height
1.2 in
Item Weight
24.1 Oz
Item Length
8.5 in
Item Width
5.5 in

Additional Product Features

Intended Audience
College Audience
LCCN
2020-939011
Reviews
"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) "Cunningham's brilliant book is that rare statistical treatise written for students and practitioners alike. Engaging language and vivid examples bring the tools of causal inference to a broad audience. Read the book, absorb its lessons, and you'll develop the skills you need to credibly assess whether a statistics class, a public policy, or a new business practice truly makes a difference."--Justin Wolfers, University of Michigan "Accessible and engaging. An excellent introduction to the statistics of causal inference."--Alberto Abadie, MIT "Learning about causal effects is the main goal of most empirical research in economics. In this engaging book, Scott Cunningham provides an accessible introduction to this area, full of wisdom and wit and with detailed coding examples for practitioners."--Guido Imbens, coauthor of Causal Inference "This book will probably shock economics instructors with the clarity, insights, and tools that modern graphical models introduce to the teaching of econometrics. The benefits will outlast the shock."--Judea Pearl, University of California, Los Angeles, "Cunningham's brilliant book is that rare statistical treatise written for students and practitioners alike. Engaging language and vivid examples bring the tools of causal inference to a broad audience. Read the book, absorb its lessons, and you'll develop the skills you need to credibly assess whether a statistics class, a public policy, or a new business practice truly makes a difference."-Justin Wolfers, University of Michigan "Accessible and engaging. An excellent introduction to the statistics of causal inference."-Alberto Abadie, MIT "Learning about causal effects is the main goal of most empirical research in economics. In this engaging book, Scott Cunningham provides an accessible introduction to this area, full of wisdom and wit and with detailed coding examples for practitioners."--Guido Imbens, coauthor of Causal Inference "This book will probably shock economics instructors with the clarity, insights, and tools that modern graphical models introduce to the teaching of econometrics. The benefits will outlast the shock."--Judea Pearl, University of California, Los Angeles "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)
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
300.72
Synopsis
An accessible and contemporary introduction to the methods for determining cause and effect in the social sciences, 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.
LC Classification Number
H61.3

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