A
Adonis Yatchew
Researcher at University of Toronto
Publications - 41
Citations - 3100
Adonis Yatchew is an academic researcher from University of Toronto. The author has contributed to research in topics: Nonparametric statistics & Semiparametric regression. The author has an hindex of 21, co-authored 40 publications receiving 2983 citations. Previous affiliations of Adonis Yatchew include Australian National University.
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Nonparametric Regression Techniques in Economics
TL;DR: In this article, a brief overview of the class of models under study and central theoretical issues such as the curse of dimensionality, the bias-variance trade-off and rates of convergence are discussed.
Posted Content
Semiparametric Regression for the Applied Econometrician
TL;DR: In this article, a collection of techniques for analyzing nonparametric and semiparametric regression models is provided, including simple goodness of fit tests and residual regression tests, which can be used to test hypotheses such as parametric and semi-parametric specifications, significance, monotonicity and additive separability.
Journal ArticleDOI
An elementary estimator of the partial linear model
TL;DR: In this article, an elementary and asymptotically efficient estimator of β was proposed, where data are reordered so that the x's are close and higher order differencing is applied to remove f ( x ).
Book
Semiparametric Regression for the Applied Econometrician
TL;DR: In this article, a collection of techniques for analyzing nonparametric and semiparametric regression models is provided, including simple goodness of fit tests and residual regression tests, which can be used to test hypotheses such as parametric and semi-parametric specifications, significance, monotonicity and additive separability.