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Titlebook: Demystifying Causal Inference; Public Policy Applic Vikram Dayal,Anand Murugesan Textbook 2023 The Editor(s) (if applicable) and The Author

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書目名稱Demystifying Causal Inference
副標(biāo)題Public Policy Applic
編輯Vikram Dayal,Anand Murugesan
視頻videohttp://file.papertrans.cn/266/265456/265456.mp4
概述Provides public policy applications.Contains careful explanation of R code in applications.Explains concepts using causal graphs and simulations
圖書封面Titlebook: Demystifying Causal Inference; Public Policy Applic Vikram Dayal,Anand Murugesan Textbook 2023 The Editor(s) (if applicable) and The Author
描述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 speci?c 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 Snow’s 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 q
出版日期Textbook 2023
關(guān)鍵詞Causal inference; R; Simulation; Regression; Regression Discontinuity; Panel Data; Public policy; impact ev
版次1
doihttps://doi.org/10.1007/978-981-99-3905-3
isbn_softcover978-981-99-3907-7
isbn_ebook978-981-99-3905-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Studies in Linguistics and PhilosophyEntire books introduce the many aspects of regression. In this chapter, we emphasize the connection between regression and means and conditional means. We also describe P value functions. We introduce simulation as a tool for understanding causal and statistical inference. We use simulation extensively in this book.
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Regression and Simulation,Entire books introduce the many aspects of regression. In this chapter, we emphasize the connection between regression and means and conditional means. We also describe P value functions. We introduce simulation as a tool for understanding causal and statistical inference. We use simulation extensively in this book.
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