The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics

Language: English

Published by Oxford University Press Inc, US, 2014

0199857946 / 9780199857944

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This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. These data-driven models seek to replace the "classical " parametric models of the past, which were rigid and often linear. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures. They provide a balanced view of new developments in the analysis and modeling of applied sciences with cross-section, time series, panel, and spatial data sets. The major topics of the volume include: the methodology of semiparametric models and special regressor methods; inverse, ill-posed, and well-posed problems; different methodologies related to additive models; sieve regression estimators, nonparametric and semiparametric regression models, and the true error of competing approximate models; support vector machines and their modeling of default probability; series estimation of stochastic processes and some of their applications in Econometrics; identification, estimation, and specification problems in a class of semilinear time series models; nonparametric and semiparametric techniques applied to nonstationary or near nonstationary variables; the estimation of a set of regression equations; and a new approach to the analysis of nonparametric models with exogenous treatment assignment.…

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Title
The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics
Author
Jeffrey Racine, Liangjun Su, Aman Ullah
Publisher
Oxford University Press Inc, US
Publication year
2014
Condition
New
Binding
Hardback
Language
English
ISBN 10
0199857946
ISBN 13
9780199857944
Item weight
1,056 grams

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