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An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics
A Replicable Approach Using R
Buch von Jeffrey S. Racine
Sprache: Englisch

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Beschreibung
Provides theory, open source R implementations, and the latest tools for reproducible nonparametric econometric research.
Provides theory, open source R implementations, and the latest tools for reproducible nonparametric econometric research.
Über den Autor
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).
Inhaltsverzeichnis
Part I. Probability Functions, Probability Density Functions, and their Cumulative Counterparts: 1. Discrete probability and cumulative probability functions; 2. Continuous density and cumulative distribution functions; 3. Mixed-data probability density and cumulative distribution functions; 4. Conditional probability density and cumulative distribution functions; Part II. Conditional Moment Functions and Related Statistical Objects: 5. Conditional moment functions; 6. Conditional mean function estimation; 7. Conditional mean function estimation with endogenous predictors; 8. Semiparametric conditional mean function estimation; 9. Conditional variance function estimation; Part III. Appendices: A. Large and small orders of magnitude and probability; B. R, RStudio, TeX and Git; C. Computational considerations; D. R Markdown for assignments; E. Practicum.
Details
Erscheinungsjahr: 2019
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Seiten: 434
Inhalt: Gebunden
ISBN-13: 9781108483407
ISBN-10: 1108483402
Sprache: Englisch
Einband: Gebunden
Autor: Racine, Jeffrey S.
Hersteller: Cambridge University Press
Maße: 261 x 185 x 25 mm
Von/Mit: Jeffrey S. Racine
Erscheinungsdatum: 27.06.2019
Gewicht: 1,084 kg
preigu-id: 114872543
Über den Autor
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).
Inhaltsverzeichnis
Part I. Probability Functions, Probability Density Functions, and their Cumulative Counterparts: 1. Discrete probability and cumulative probability functions; 2. Continuous density and cumulative distribution functions; 3. Mixed-data probability density and cumulative distribution functions; 4. Conditional probability density and cumulative distribution functions; Part II. Conditional Moment Functions and Related Statistical Objects: 5. Conditional moment functions; 6. Conditional mean function estimation; 7. Conditional mean function estimation with endogenous predictors; 8. Semiparametric conditional mean function estimation; 9. Conditional variance function estimation; Part III. Appendices: A. Large and small orders of magnitude and probability; B. R, RStudio, TeX and Git; C. Computational considerations; D. R Markdown for assignments; E. Practicum.
Details
Erscheinungsjahr: 2019
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Seiten: 434
Inhalt: Gebunden
ISBN-13: 9781108483407
ISBN-10: 1108483402
Sprache: Englisch
Einband: Gebunden
Autor: Racine, Jeffrey S.
Hersteller: Cambridge University Press
Maße: 261 x 185 x 25 mm
Von/Mit: Jeffrey S. Racine
Erscheinungsdatum: 27.06.2019
Gewicht: 1,084 kg
preigu-id: 114872543
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