An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics: A Replicable Approach Using R

Racine, Jeffrey S.

ISBN 10: 1108483402 / ISBN 13: 9781108483407

Published by Cambridge Univ Pr, 2019

About this Item

408 pages. 10.00x7.00x1.00 inches. In Stock.

Seller Inventory # __1108483402

Bibliographic Details

• Title: An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics: A Replicable Approach Using R
• Publisher: Cambridge Univ Pr
• Publication Date: 2019
• Language: English
• ISBN 10: 1108483402
• ISBN 13: 9781108483407
• Binding: Hardcover
• Condition: Brand New

About this title

Synopsis

Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of these numerically intensive methods. This book is written for advanced undergraduate students, intermediate graduate students, and faculty, and provides a complete teaching and learning course at a more accessible level of theoretical rigor than Racine's earlier book co-authored with Qi Li, Nonparametric Econometrics: Theory and Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX and Git.

About the Author

Jeffrey S. Racine is Professor in the Department of Economics and Professor in the Graduate Program in Statistics in the Department of Mathematics and Statistics at McMaster University, Ontario. He holds the Senator William McMaster Chair in Econometrics and is a Fellow of the Journal of Econometrics. He is co-author of Nonparametric Econometrics: Theory and Practice (2007). He has published extensively in his field and has co-authored the R packages np and crs that are available on the Comprehensive R Archive Network (CRAN).