Quantitative Economics with R A Data Science Approach
This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the da
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Quantitative Economics with R A Data Science Approach
Quantitative Economics with R
Vikram Dayal
Quantitative Economics with R A Data Science Approach
123
Vikram Dayal Indian Economic Service Section Institute of Economic Growth Delhi, India
ISBN 978-981-15-2034-1 ISBN 978-981-15-2035-8 https://doi.org/10.1007/978-981-15-2035-8
(eBook)
© Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
For my old and wonderful friends Ranu, Deepu and Chinna
Acknowledgements
The Institute of Economic Growth gave me a most conducive environment to work on the book. My colleagues have been supportive, two especially so: Prof. Bhavani and Purnamita. Suresh introduced me to R, and over the years shared my enthusiasm for R talk. Rahul provided inspiration with his painting about a sense of wonder, and specific advice on the text. Ranu edited most chapters and followed up on progress. This book presents the work of a global community of scholars, coders and data scientists; not just economists like Acemoglu and Duflo, but statisticians like Paul Rosenbaum, the master of the tidyverse, Hadley Wickham, the deep philosopher of causal inference, Judea Pearl, the guru of networks, Barabasi, the experts in statistical learning, Hastie and Tibshirani. Writing this book led to a greater appreciation of their work and ideas. Nupoor Singh at Springer and anonymous reviewers helped me with initial ideas for the book, and others at Springer facilitated the book very professionally. My parents were encouraging. Varsha was unstinting in her support. Vikram Dayal
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Contents
Part I 1
2
Introduction to the Book and the Data Software
Introduction
Data Loading...