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Keyword: semiparametric;

35 results found.

Econometrics Paper

Likelihood inference on semiparametric models: Average derivative and treatment effect

Yukitoshi Matsushita and Taisuke Otsu

In the past few decades, much progress has been made in semiparametric modeling and estimation methods for econometric analysis. This paper is concerned with inference (i.e., confidence intervals and hypothesis testing) ...Read more...

27 June 2017

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

Optimal Smoothing for a Computationally and Statistically Efficient Single Index Estimator

Wolfgang Härdle, Oliver Linton and Yingcun Xia

In semiparametric models it is a common approach to under-smooth the nonparametric functions in order that estimators of the finite dimensional parameters can achieve root-n consistency. The requirement of under-smoothin...Read more...

July 2009

Econometrics Paper

An Alternative Way of Computing Efficient Instrumental Variable Estimators

Xiaohong Chen, David T. Jacho-Chávez and Oliver Linton

A new way of constructing efficient semiparametric instrumental variable estimators is proposed. The method involves the combination of a large number of possibly inefficient estimators rather than combining the instrume...Read more...

June 2009

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

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

Fractional Cointegration In Stochastic Volatility Models

Afonso Gonçalves da Silva and Peter M Robinson

Asset returns are frequently assumed to be determined by one or more common factors. We consider a bivariate factor model, where the unobservable common factor and idiosyncratic errors are stationary and serially uncorre...Read more...

May 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

ESTIMATING FEATURES OF A DISTRIBUTION FROM BINOMIAL DATA

Arthur Lewbel, Oliver Linton and DL McFadden

A statistical problem that arises in several fields is that of estimating the features of an unknown distribution, which may be conditioned on covariates, using a sample of binomial observations on whether draws from thi...Read more...

September 2006

Econometrics Paper

Semiparametric Estimation of Fractional Cointegration

Javier Hualde and Peter M Robinson

A semiparametric bivariate fractionally cointegrated system is considered, integration orders possibly being unknown and I (0) unobservable inputs having nonparametric spectral density. Two kinds of estimate of the coint...Read more...

May 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

The Bootstrap and the Edgeworth Correction for Semiparametric Averaged Derivatives

Yoshihiko Nishiyama and Peter M Robinson

In a number of semiparametric models, smoothing seems necessary in order to obtain estimates of the parametric component which are asymptotically normal and converge at parametric rate. However, smoothing can inflate the...Read more...

January 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

Semiparametric Regression Analysis under Imputation for Missing Response Data

Wolfgang Haerdle, Oliver Linton and Qihua Wang

We develop inference tools in a semiparametric regression model with missing response data. A semiparametric regression imputation estimator, a marginal average estimator and a (marginal) propensity score weighted estima...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

Denis Sargan: Some Perspectives

Peter M Robinson

We attempt to present Denis Sargan's work in some kind of historical perspective, in two ways. First, we discuss some previous members of the Tooke Chair of Economic Science and Statistics, which was founded in 1859 and ...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

Semiparametric Fractional Cointegration Analysis

D Marinucci and Peter M Robinson

Fractional cointegration is viewed from a semiparametric viewpoint as a narrow-band phenomenon at frequency zero. We study a narrow-band frequency domain least squares estimate of the cointegrating vector, and related se...Read more...

July 2001

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

A Model for Long Memory Conditional Heteroscedasticity - (Now published in 'Annals of Applied Probability', 10 (2000), pp.1002-1024.)

Liudas Giraitis, Peter M Robinson and Donatas Surgailis

Econometrics Paper

Adaptive Semiparametric Estimation of the Memory Parameter - (Now published with revised title, Adaptive Rate-Optimal Estimation of the Memory Parameter, in 'Journal of Multivariate Analysis, 72 (2000), pp.183-207.)

Liudas Giraitis, Peter M Robinson and Alexander Samarov

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

Studentization in Edgworth Expansions for Estimates of Semiparametric Index Models - (Now published in C Hsiao, K Morimune and J Powell (eds): 'Nonlinear Statistical Modeling' (Festschrift for Takeshi Amemiya), (Cambridge University Press, 2001), pp.197-240.)

Yoshihiko Nishiyama and Peter M Robinson

We establish valid theoretical and empirical Edgeworth expansions for density-weighted averaged derivative estimates of semiparametric index models....Read more...

October 1999

Econometrics Paper

Edgeworth Expansions for Semiparametric Averaged Derivatives - (Now published in 'Econometrica', 68 (2000), pp.931-979.)

Yoshihiko Nishiyama and Peter M Robinson

A valid Edgeworth expansion is established for the limit distribution of density-weighted semiparametric averaged derivative estimates of single index models. The leading term that corrects the normal limit varies in mag...Read more...

October 1999

Econometrics Paper

Variance-Type Estimation of Long Memory - (Now published in 'Stochastic Processes and their Applications', 29 (1999), pp.1-24.)

Liudas Giraitis and Peter M Robinson

The aggregation procedure when a sample of length N is divided into blocks of length m = o(N), m ? ? and observations in each block are replaced by their sample mean, is widely used in statistical inference. Taqqu, Tever...Read more...

October 1998

Econometrics Paper

Semiparametric Inference in Seasonal and Cyclical Long Memory Processes - (Now published in 'Journal of Time Series Analysis', 21 (2000), pp.1-25.)

Josu Artech and Peter M Robinson

Several semiparametric estimates of the memory parameter in standard long memory time series are now available. They consider only local behaviour of the spectrum near zero frequency, about which the spectrum is symmetri...Read more...

September 1998

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

Econometrics Paper

Rate Optimal Semiparametric Estimation of the Memory Parameter of the Gaussian Time Serieswith Long-Range Dependence - (Now published in 'Journal of Time Series Analysis', 18 (1997), pp.49-60.)

Liudas Giraitis, Peter M Robinson and Alexander Samarov

There exist several estimators of the memory parameter in long-memory time series models with mean µ and the spectrum specified only locally near zero frequency. In this paper we give a lower bound for the rate of conver...Read more...

February 1997