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Keyword: nonparametric regression;

20 results found.

Econometrics Paper

Nonparametric instrumental regression with errors in variables

Karun Adusumilli and Taisuke Otsu

This paper considers nonparametric instrumental variable regression when the endogenous variable is contaminated with classical measurement error. Existing methods are inconsistent in the presence of measurement error. W...Read more...

21 July 2015

Econometrics Paper

Testing for Breaks in Regression Models with Dependent Data

Violetta Dalla and Javier Hidalgo

Econometrics Paper

Series Estimation under Cross-sectional Dependence

Jungyoon Lee and Peter M Robinson

An asymptotic theory is developed for nonparametric and semiparametric series estimation under general cross-sectional dependence and heterogeneity. A uniform rate of consistency, asymptotic normality, and sufficient con...Read more...

25 November 2013

Econometrics Paper

Panel Nonparametric Regression with Fixed Effects

Jungyoon Lee and Peter M Robinson

Nonparametric regression is developed for data with both a temporal and a cross-sectional dimension. The model includes additive, unknown, individual-specifi…c components and allows also for cross-sectional and temporal ...Read more...

25 November 2013

Econometrics Paper

Asymptotic Theory for Nonparametric Regression with Spatial Data

Peter M Robinson

Nonparametric regression with spatial, or spatio-temporal, data is considered. The conditional mean of a dependent variable, given explanatory ones, is a nonparametric function, while the conditional covariance reflects ...Read more...

September 2010

Econometrics Paper

Statistical Inference on Regression with Spatial Dependence

Peter M Robinson and Supachoke Thawornkaiwong

Central limit theorems are developed for instrumental variables estimates of linear and semi-parametric partly linear regression models for spatial data. General forms of spatial dependence and heterogeneity in explanato...Read more...

April 2010

Econometrics Paper

ESTIMATION OF A SEMIPARAMETRIC IGARCH(1,1) MODEL

Woocheol Kim and Oliver Linton

We propose a semiparametric IGARCH model that allows for persistence in variance but also allows for more flexible functional form. We assume that the difference of the squared process is weakly stationary. We propose an...Read more...

October 2009

Econometrics Paper

Efficient Estimation of a Semiparametric Characteristic-Based Factor Model of Security Returns

Gregory Connor, Matthias Hagmann and Oliver Linton

This paper develops a new estimation procedure for characteristic-based factor models of security returns. We treat the factor model as a weighted additive nonparametric regression model, with the factor returns serving ...Read more...

October 2007

Econometrics Paper

SPECIFICATION TESTING FOR REGRESSION MODELS WITH DEPENDENT DATA

Javier Hidalgo

We describe and examine a consistent test for the correct specification of a regression function with dependent data. The test is based on the supremum of the difference between the parametric and nonparametric estimates...Read more...

May 2007

Econometrics Paper

Identification and Nonparametric Estimation of a Transformed Additively Separable Model

David T. Jacho-Chávez, Arthur Lewbel and Oliver Linton

Let r (x, z) be a function that, along with its derivatives, can be consistently estimated nonparametrically. This paper discusses identification and consistent estimation of the unknown functions H, M, G and F, where r ...Read more...

September 2006

Econometrics Paper

Nonparametric Transformation to White Noise

Oliver Linton and Enno Mammen

We consider a semiparametric distributed lag model in which the “news impact curve” m is nonparametric but the response is dynamic through some linear filters. A special case of this is a nonparametric regression with se...Read more...

August 2006

Econometrics Paper

Nonparametric Neural Network Estimation of Lyapunov Exponents and a Direct Test for Chaos

Oliver Linton and Mototsugu Shintani

This paper derives the asymptotic distribution of the nonparametric neural network estimator of the Lyapunov exponent in a noisy system. Positivity of the Lyapunov exponent is an operational definition of chaos. We intro...Read more...

May 2003

Econometrics Paper

Estimating Semiparametric ARCH (8) Models by Kernel Smoothing Methods

Oliver Linton and Enno Mammen

We investigate a class of semiparametric ARCH(8) models that includes as a special case the partially nonparametric (PNP) model introduced by Engle and Ng (1993) and which allows for both flexible dynamics and flexible f...Read more...

May 2003

Econometrics Paper

Nonparametric Neutral Network Estimation of Lyapunov Exponents and a Direct Test for Chaos

Oliver Linton and Mototsugu Shintani

This paper derives the asymptotic distribution of nonparametric neural network estimator of the Lyapunov exponent in a noisy system proposed by Nychka et al (1992) and others. Positivity of the Lyapunov exponent is an op...Read more...

March 2002

Econometrics Paper

A Nonparametric Regression Estimator that Adapts to Error Distribution of Unknown Form

Oliver Linton and Zhijie Xiao

We propose a new estimator for nonparametric regression based on local likelihood estimation using an estimated error score function obtained from the residuals of a preliminary nonparametric regression. We show that our...Read more...

June 2001

Econometrics Paper

Nonparametric Estimation with Aggregated Data

Oliver Linton and Yoon-Jae Whang

We introduce a kernel-based estimator of the density function and regression function for data that have been grouped into family totals. We allow for a common intra-family component but require that observations from di...Read more...

July 2000

Econometrics Paper

Nonparametric Censored and Truncated Regression

Arthur Lewbel and Oliver Linton

The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero), is y = max[0,m(x) + e], where both the regression function m(x) and the distribution of the error e are unknown. This...Read more...

April 2000

Econometrics Paper

Yield Curve Estimation by Kernel Smoothing Methods

Oliver Linton, Enno Mammen, Jens Perch Nielsen and C Tanggaard

We introduce a new method for the estimation of discount functions, yield curves and forward curves from government issued coupon bonds. Our approach is nonparametric and does not assume a particular functional form for ...Read more...

April 2000

Econometrics Paper

The Existence and Asymptotic Properties of a Backfitting Projection Algorithm under Weak Conditions

Oliver Linton, Enno Mammen and N Nielsen

We derive the asymptotic distribution of a new backfitting procedure for estimating the closest additive approximation to a nonparametric regression function. The procedure employs a recent projection interpretation of p...Read more...

April 2000

Econometrics Paper

Large-Sample Inference for Nonparametric Regression with Dependent Errors - (Now published in 'Annals of Statistics', 28 (1997), pp.2054-2083.)

Peter M Robinson

A central limit theorem is given for certain weighted sums of a covariance stationary process, assuming it is linear in martingale differences, but without any restriction on its spectrum. We apply the result to kernel n...Read more...

September 1997