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Demystifying Causal Inference: Public Policy Applications with R free ebook download

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Mathematics

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Author(s):	Vikram Dayal

Date:	2024	Format:	pdf	Language:	English	ISBN/ASIN:	9819939046
Pages:	309	OCR:		Quality:		ISBN13:
Uploader:	maveriks	Upload Date:	2/3/2024 8:00:02 PM

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9819939046 pdf
This book provides an accessible introduction to causal inference and data analysis with R, specifically for a public policy audience. It aims to demystify these topics by presenting them through practical policy examples from a range of disciplines. It provides a hands-on approach to working with data in R using the popular tidyverse package. High quality R packages for specic causal inference techniques like ggdag, Matching, rdrobust, dosearch etc. are used in the book.
The book is in two parts. The first part begins with a detailed narrative about John Snows heroic investigations into the cause of cholera. The chapters that follow cover basic elements of R, regression, and an introduction to causality using the potential outcomes framework and causal graphs. The second part covers specific causal inference methods, including experiments, matching, panel data, difference-in-differences, regression discontinuity design, instrumental variables and meta-analysis, with the help of empirical case studies of policy issues.
The book adopts a layered approach that makes it accessible and intuitive, using helpful concepts, applications, simulation, and data graphs. Many public policy questions are inherently causal, such as the effect of a policy on a particular outcome. Hence, the book would not only be of interest to students in public policy and executive education, but also to anyone interested in analysing data for application to public policy.

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3232266	Book	https://nitroflare.com/view/FB7DE091DBD6...		0.00	maveriks

Tags: Applications Causal Demystifying Inference Policy Public

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Demystifying Causal Inference: Public Policy Applications with R free ebook download

Category: Mathematics

Description: Click to see full description

Category:
Mathematics