
An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics
A Replicable Approach Using R
- English
- PDF
- Available on iOS & Android
An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics
A Replicable Approach Using R
About this book
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.
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Information
Table of contents
- Cover
- Half-title page
- Title page
- Copyright page
- Contents
- List of Tables
- List of Figures
- Preface
- Glossary of Notation
- I Probability Functions, Probability Density Functions, and Their Cumulative Counterparts
- II Conditional Moment Functions and Related Statistical Objects
- III Appendices
- Bibliography
- Author Index
- Subject Index