Search Results | Publications

You searched for:

Keyword: kernel;

27 results found.

Econometrics Paper

Subject beliefs estimators and their properties

Anisha Ghosh and Taisuke Otsu

Information-theoretic methods recover investors’ subjective beliefs by minimizing the statistical discrepancy between beliefs and the DGP, subject to assets’ Euler constraints. We show that the estimated beliefs converge...Read more...

3 November 2025

Econometrics Paper

Adapting Kernel Estimation to Uncertain Smoothness

Yulia Kotlyarova, Marcia M Schafgans and Victoria Zinde-Walsh

For local and average kernel based estimators, smoothness conditions ensure that the kernel order determines the rate at which the bias of the estimator goes to zero and thus allows the econometrician to control the rate...Read more...

April 2011

Econometrics Paper

Semiparametric Estimation of Markov Decision Processeswith Continuous State Space

Sorawoot Srisuma and Oliver Linton

We propose a general two-step estimation method for the structural parameters of popular semiparametric Markovian discrete choice models that include a class of Markovian Games and allow for continuous observable state s...Read more...

August 2010

Econometrics Paper

Efficient Estimation of a Multivariate Multiplicative Volatility Model

Christian M. Hafner and Oliver Linton

We propose a multivariate generalization of the multiplicative volatility model of Engle and Rangel (2008), which has a nonparametric long run component and a unit multivariate GARCH short run dynamic component. We sugge...Read more...

October 2009

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

Nonparametric Regression with a Latent Time Series

Oliver Linton, Søren Feodor Nielsen and Jens Perch Nielsen

In this paper we investigate a class of semiparametric models for panel datasets where the cross-section and time dimensions are large. Our model contains a latent time series that is to be estimated and perhaps forecast...Read more...

October 2009

Econometrics Paper

Nonparametric Estimation of a Polarization Measure

Gordon Anderson, Oliver Linton and Yoon-Jae Whang

This paper develops methodology for nonparametric estimation of a polarization measure due to Anderson (2004) and Anderson, Ge, and Leo (2006) based on kernel estimation techniques. We give the asymptotic distribution th...Read more...

June 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

Semiparametric Estimation of a Characteristic-based Factor Model of Common Stock Returns

Gregory Connor and Oliver Linton

We introduce an alternative version of the Fama-French three-factor model of stock returns together with a new estimation methodology. We assume that the factor betas in the model are smooth nonlinear functions of observ...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

A Local Instrumental Variable Estimation Method for Generalized Additive Volatility Models

Woocheol Kim and Oliver Linton

We investigate a new separable nonparametric model for time series, which includes many ARCH models and AR models already discussed in the literature. We also propose a new estimation procedure based on a localization of...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

Asymptotic Expansions for Some Semiparametric Program Evaluation Estimators

Hidehiko Ichimura and Oliver Linton

We investigate the performance of a class of semiparametric estimators of the treatment effect via asymptotic expansions. We derive approximations to the first two moments of the estimator that are valid to 'second order...Read more...

May 2003

Econometrics Paper

Higher-Order Kernel Semiparametric M-Estimation of Long Memory

Marc Henry and Peter M Robinson

Econometric interest in the possibility of long memory has developed as a flexible alternative to, or compromise between, the usual short memory or unit root prescriptions, for example in the context of modelling cointeg...Read more...

September 2002

Econometrics Paper

More Efficient Kernel Estimation in Nonparametric Regression with Autocorrelated Errors

Raymond J Carroll, Oliver Linton, Enno Mammen and Zhijie Xiao

We propose a modification of kernel time series regression estimators that improves efficiency when the innovation process is autocorrelated. The procedure is based on a pre-whitening transformation of the dependent vari...Read more...

June 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

Estimating Multiplicative and Additive Hazard Functions by Kernel Methods

Oliver Linton, Jens Perch Nielsen and Sara van de Geer

We propose new procedures for estimating the univariate quantities of interest in both additive and multiplicative nonparametric marker dependent hazard models. We work with a full counting process framework that allows ...Read more...

February 2001

Econometrics Paper

Edgeworth Approximations for Semiparametric Instrumental Variable Estimators and Test Statistics

Oliver Linton

We stablish the validity of higher order asymptotic expansions to the distribution of a version of the nonlinear semiparametric instrumental variable considered in Newey (1990) as well as to the distribution of a Wald st...Read more...

July 2000

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

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

CASEpaper

Income Dynamics in Germany, the USA and the UK: Evidence from Panel Data

Christian Schluter

This paper is about the distributional dynamics of net household income in Germany, the US and the UK. We reject the common wisdom that Germany is a country in statsis: stable cross-sectional distributions are deceptive,...Read more...

June 1998

DARP Paper

Income Mobility in Germany: Evidence from Panel Data

Christian Schluter

Using the GSOEP the paper analyses income mobility and inequality dynamics in Germany in the 90s at various levels of aggregation, ranging from a direct modelling of intra-distributional mobility using bivariate kernel d...Read more...

March 1996

DARP Paper

Income Distribution in Brazil 1981-1990: Parametric and Non-Parametric Approaches

Frank A Cowell, Francisco H.G. Ferreira and Julie Litchfield

Using a newly available comprehensive micro-data set we examine changes in the shape of the Brazilian income distribution during the 'lost decade' of the 1980s. We adopt alternative parametric and non-parametric approach...Read more...

March 1996

Econometrics Paper

Aggregate and Regional Disagggregate Fluctuations (Now published in Empirical Economics (1996), vol.21, no.1, pp.137-159.)

Danny Quah

This paper models fluctuations in regional disaggregates as a nonstationary, dynamically evolving distribution. Doing so enables study of the dynamics of aggregate fluctuations jointly with those of the rich cross-sectio...Read more...

August 1995

Econometrics Paper

Empirics for Economic Growth and Convergence (Now published in European Economic Review, vol.40, no.6 (1996), pp.1353-1375.)

Danny Quah

The convergence hypothesis has generated a huge empirical literature: this paper critically reviews some of the earlier key findings, clarifies their implications, and relates them to more recent results. Particular atte...Read more...

1995