An introduction to the advanced theory and practice of nonparametric econometrics : a replicable approach using R
By: Racine, Jeffrey S.
Publisher: Cambridge Cambridge University Press 2019Description: xxvi, 408p.ISBN: 9781108483407.Subject(s): Nonparametric statistics | Econometrics | R (Computer program language)DDC classification: 330.15195 | R115i Summary: 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.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books | PK Kelkar Library, IIT Kanpur | General Stacks | 330.15195 R115i (Browse shelf) | Available | A185856 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
330.15195 D744i4 Introduction to econometrics | 330.15195 D744i4 Introduction to econometrics | 330.15195 M66a Applied econometrics | 330.15195 R115i An introduction to the advanced theory and practice of nonparametric econometrics | 330.153 B73n THE NEW-CLASSICAL VERSUS THE NEO-CLASSICAL ECONOMICS | 330.153 B758m The making of the classical theory of economic growth | 330.153 F699A ADAM'S FALLACY |
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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