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Ebook About 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.Book Causal Inference: The Mixtape Review :
I have been using bits and pieces from the early online version of this book in my graduate courses for students doing policy analysis, and it is always helpful. Cunningham explains things intuitively and without skipping steps -- this book is written for humans! I think this reflects the author's confidence that people from a wide variety of disciplines and backgrounds can become well-informed and competent on methods of causal inference by walking through the logic of the models. While the technical material is in there as needed, the key to the book is that a person can learn when and where to use different modeling techniques, and can practice this with the materials in the book (which address both Stata and R users). Cunningham's enthusiasm for the studies he cites (and at times really digs into) is contagious, and I am confident my students will love this book when I assign it next semester. This is a fresh and welcome addition to a library of textbooks about statistics and econometrics. With a similar punchy flair to Angrist and Pischke's work in Mostly Harmless Econometrics and Mastering 'Metrics, Causal Inference: The Mixtape is a deep dive into empirical methods used to answer causal questions. Most important of all, the book has code examples in both Stata and R, with a website that has supplemental materials for students and teachers.This is a text targeted at advanced undergraduates and graduate students, with an approachable style that vastly contrasts from most textbooks which will intimidate readers uncomfortable with mathematics. Cunningham does an outstanding job making the techniques intuitive, and covers a wide-range of state-of-the-art methods. I assign this book as one of my texts in my PhD level course. Read Online Causal Inference: The Mixtape Download Causal Inference: The Mixtape Causal Inference: The Mixtape PDF Causal Inference: The Mixtape Mobi Free Reading Causal Inference: The Mixtape Download Free Pdf Causal Inference: The Mixtape PDF Online Causal Inference: The Mixtape Mobi Online Causal Inference: The Mixtape Reading Online Causal Inference: The Mixtape Read Online Scott Cunningham Download Scott Cunningham Scott Cunningham PDF Scott Cunningham Mobi Free Reading Scott Cunningham Download Free Pdf Scott Cunningham PDF Online Scott Cunningham Mobi Online Scott Cunningham Reading Online Scott CunninghamDownload PDF Abnormal Psychology By Susan Nolen-Hoeksema
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