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Keyword: time series;

18 results found.

Econometrics Paper

Efficient Inference on Fractionally Integrated Panel Data Models with Fixed Effects

Peter M Robinson and Carlos Velasco

A dynamic panel data model is considered that contains possibly stochastic individual components and a common fractional stochastic time trend. We propose four different ways of coping with the individual effects so as t...Read more...

20 November 2013

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

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

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

Adapting to Unknown Disturbance Autocorrelation in Regression with Long Memory

Javier Hidalgo and Peter M Robinson

We show that it is possible to adapt to nonparametric disturbance auto-correlation in time series regression in the presence of long memory in both regressors and disturbances by using a smoothed nonparametric spectrum e...Read more...

September 2001

Econometrics Paper

Whittle Pseudo-Maximum Likelihood Estimation for Nonstationary Time Series - (Now published in 'Journal of the American Statistical Association', 95, (2000), pp.1229-1243.)

Peter M Robinson and Carlos Velasco

Whittle pseudo-maximum likelihood estimates of parameters for stationary time series have been found to be consistent and asumptotically normal in the presence of long-range dependence. Generalizing the definition of the...Read more...

May 2000

Econometrics Paper

Testing for the Presence of a Random Walk in Series with Structural Breaks - (Now published in 'Journal of Time Series Analysis', 22 (2001), pp.127-150.)

Fabio Busetti and Andrew C Harvey

The paper considers tests for the presence of a random walk component in a stationary or trend stationary time series and extends them to series which contain structural breaks. The locally best invariant (LBI) test is d...Read more...

December 1998

Econometrics Paper

Seasonal and Cyclical Long Memory - (Now published in S Ghosh (ed): 'Asymptotics, Nonparametrics and Time Series: A Tribute to Madam Lal Puri (Marcel Decker, 1999), pp.115-145.)

Josu Artech and Peter M Robinson

There has recently been great interest in time series with long memory, namely series whose dependence decays slowly in the sense that autocovariances are not summable and the spectral density is unbounded. This concept ...Read more...

September 1998

Econometrics Paper

Alternative Forms of Fractional Brownian Motion - (Now published in 'Journal of Statistical Planning and Inference', 80 (1999), pp.111-122.)

D Marinucci and Peter M Robinson

It is pointed out that two contradictory definitions of fractional Brownian motion are well established, one prevailing in the probabilistic literature, the other in the econometric literature. Each is associated with a ...Read more...

July 1998

Econometrics Paper

Messy Time Series: A Unified Approach - (Now published in 'Advances in Econometrics', 13 (1998)pp.103-143.)

Andrew C Harvey, Siem Jan Koopman and J Penzer

Many series are subject to data irregularities such as missing values, outliers, structural breaks and irregular spacing. Data can also be messy, and hence difficult to handle by standard procedures, when they are intrin...Read more...

March 1997

Econometrics Paper

Autocorrelation-Robust Inference - (Now published in 'Handbook of Statistics', vol.15, G S Maddala and C R Rao (eds), Elsevier Science Publishers BV (1997), pp.267-298.)

Peter M Robinson and Carlos Velasco

We consider statistical inference in the presence of serial dependence. The main focus is on use of statistics that are constructed as if no dependence were believed present, and are asymptotically normal in the presence...Read more...

December 1996

Econometrics Paper

Testing of Unit Root and Other Nonstationary Hypotheses in Macroeconomic Time Series - (Now published in 'Journal of Econometrics', 80, 1997, pp.241-268.)

L A Gil-Alaña and Peter M Robinson

Recently proposed tests for unit root and other nonstationarity of Robinson (1994a) are applied to an extended version of the data set used by Nelson and Plosser (1982). Unusually, the tests are efficient (against approp...Read more...

December 1996

Econometrics Paper

Multivariate Structural Time Series Models - (Now published in 'System Dynamics in Economic and Financial Models', CHeij, H Schumacher, B Hanzon and C Praagman (eds.) John Wiley & Sons, Chichester (1997), pp.269-298.)

Andrew C Harvey and Siem Jan Koopman

Much of economic analysis presupposes that certain economic time series can be decomposed into trends and cycles. Structural time series models are explicitly set up in terms of such unobserved components. This paper set...Read more...

March 1996

Econometrics Paper

The Modelling and Seasonal Adjustment of Weekly Observations - (Now published in 'Journal of Business and Economic Statistics', 15 (1997), pp.354-368.)

Andrew C Harvey, Siem Jan Koopman and Marco Riani

A number of important economic time series are recorded on a particular day every week. Seasonal adjustment of such series is difficult because the number of weeks varies between 52 and 53 and the position of the recordi...Read more...

1995

Econometrics Paper

Exploiting Cross Section Variation for Unit Root Inference in Dynamic Data (Now published in Economics Letters 44 (1), 1994, pp.9-19.)

Danny Quah

This paper considers unit root regressions in data having simultaneously extensive cross-section and time-series variation. The standard least-squares estimators in such data structures turn out to have an asymptotic dis...Read more...

1993

Econometrics Paper

Deletion Diagnostics and Transformations for Time Series

A.C. Atkinson and N.G. Shephard

Deletion diagnostics are developed for structural time series models. These show the effect of the deletion of individual observations on residuals and on the estimates of regression parameters. The methods are extended ...Read more...

1992

Econometrics Paper

Detrending, Stylized Facts and The Business Cycle (Now published in Journal of Applied Econometrics, vol.8 (1993), pp.231-247.)

Andrew C Harvey and Albert Jaeger

The stylized facts of macroeconomic time series can be presented by fitting structural time series models. Within this framework, we analyze the consequences of the widely used detrending technique popularized by Hodrick...Read more...

1991