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Keyword: parametric estimation;

36 results found.

Econometrics Paper

Estimating density ratio of marginals to joint: Applications to causal inference

Yukitoshi Matsushita, Taisuke Otsu and Keisuke Takahata

In various fields of data science, researchers often face problems of estimating the ratios of two probability densities. Particularly in the context of causal inference, the product of marginals for a treatment variable...Read more...

7 January 2022

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

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

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

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

Smoothness Adaptive Average Derivative Estimation

Marcia M Schafgans and Victoria Zinde-Walsh

Many important models, such as index models widely used in limited dependent variables, partial linear models and nonparametric demand studies utilize estimation of average derivatives (sometimes weighted) of the conditi...Read more...

August 2008

Econometrics Paper

Multiple Local Whittle Estimation in Stationary Systems

Peter M Robinson

Moving from univariate to bivariate jointly dependent long memory time series introduces a phase parameter (?), at the frequency of principal interest, zero; for short memory series ? = 0 automatically. The latter case h...Read more...

October 2007

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

DIAGNOSTIC TESTING FOR COINTEGRATION

Peter Robinson

We develop a sequence of tests for specifying the cointegrating rank of, possibly fractional, multiple time series. Memory parameters of observables are treated as unknown, as are those of possible cointegrating errors. ...Read more...

September 2007

Econometrics Paper

SEMIPARAMETRIC ESTIMATION OF A BINARY RESPONSE MODEL WITH A CHANGE-POINT DUE TO A COVARIATE THRESHOLD

Sokbae Lee and Myunghwan Seo

This paper is concerned with semiparametric estimation of a threshold binary response model. The estimation method considered in the paper is semiparametric since the parameters for a regression function are finite-dimen...Read more...

February 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

ROOT-N-CONSISTENT ESTIMATION OF WEAK FRACTIONAL COINTEGRATION

Javier Hualde and Peter M Robinson

Empirical evidence has emerged of the possibility of fractional cointegration such that the gap, ß, between the integration order d of observable time series, and the integration order ? of cointegrating errors, is less ...Read more...

March 2006

Econometrics Paper

Nonparametric Spectrum Estimation for Spatial Data

Peter M Robinson

Smoothed nonparametric kernel spectral density estimates are considered for stationary data observed on a d-dimensional lattice. The implications for edge effect bias of the choice of kernel and bandwidth are considered....Read more...

February 2006

Econometrics Paper

Consistent estimation of the memory parameter for nonlinear time series

Violetta Dalla, Liudas Giraitis and Javier Hidalgo

For linear processes, semiparametric estimation of the memory parameter, based on the log-periodogram and local Whittle estimators, has been exhaustively examined and their properties are well established. However, excep...Read more...

January 2006

Econometrics Paper

A method of moments estimator for semiparametric index models

Bas Donkers and Marcia M Schafgans

We propose an easy to use derivative based two-step estimation procedure for semi-parametric index models. In the first step various functionals involving the derivatives of the unknown function are estimated using nonpa...Read more...

July 2005

Econometrics Paper

Efficiency Improvements in Inference on Stationary and Nonstationary Fractional Time Series

Peter M Robinson

We consider a time series model involving a fractional stochastic component, whose integration order can lie in the stationary/invertible or nonstationary regions and be unknown, and additive deterministic component cons...Read more...

November 2004

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

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

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

Estimation of Semiparametric Models when the Criterion Function is not Smooth

Xiaohong Chen, Oliver Linton and Ingrid Van Keilegom

We provide easy to verify sufficient conditions for the consistency and asymptotic normality of a class of semiparametric optimization estimators where the criterion function does not obey standard smoothness conditions ...Read more...

May 2003

Econometrics Paper

Edgeworth Expansions for Semiparametric Whittle Estimation of Long Memory

Liudas Giraitis and Peter M Robinson

The semiparametric local Whittle or Gaussian estimate of the long memory parameter is known to have especially nice limiting distributional properties, being asymptotically normal with a limiting variance that is complet...Read more...

September 2002

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

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

Parametric Estimation under Long-Range Dependence

Liudas Giraitis and Peter M Robinson

Parametric estimation is discussed in a variety of models exhibiting long-range dependence....Read more...

May 2001

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

On Intercept Estimation in the Sample Selection Model

Marcia M Schafgans

We provide a proof of the consistency and asymptotic normality of the estimator suggested by Heckman (1990) for the intercept of a semiparametrically estimated sample selection model. The estimator is based on 'identific...Read more...

January 2000

Econometrics Paper

Long and Short Memory Conditional Heteroscedasticity in Estimating the Memory Parameter of Levels - (Now published in 'Econometric Theory', 15 (1999), pp.299-336.)

Marc Henry and Peter M Robinson

Semiparametric estimates of long memory seem useful in the analysis of long financial time series because they are consistent under much broader conditions than parametric estimates. However, recent large sample theory f...Read more...

August 1998

Development Economics Paper

Intrahousehold Resource Allocation in Rural Pakistan: A Semi-parametric Analysis

Cliff Attfield and Sonia R Bhalotra

We estimate semiparametric Engel curves for rural Pakistan using a large household survey. This allows us to obtain consistent estimates of the effects of household size and composition on consumption patterns even when ...Read more...

February 1998

Econometrics Paper

Semiparametric Estimation of a Sample Selection Model: A Simulation Study

Marcia M Schafgans

Standard approaches to the estimation of sample selection models are known to be inconsistent under non-normality. In particular, this paper considers the two-step Heckman (1976, 1979) estimator of the interecept of the ...Read more...

March 1997

Econometrics Paper

Gender Wage Differences in Malaysia: Parametric and Semiparametric Estimation

Marcia M Schafgans

This paper is an empirical study on the labor force in (Peninsular) Malaysia. It applies both parametric and semiparametric sample selection methods to the estimation of wage equations. These equations are then used to a...Read more...

March 1997

DARP Paper

Modelling Income Distribution in Spain: A Robust Parametric Approach

Mercedes Prieto Alaiz and Maria-Pia Victoria-Feser

This paper presents a robust estimation of two income distribution models using Spanish data for the period 1990-91 under three different concepts of income. The effect on the estimates of the Theil index due to the choi...Read more...

June 1996