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Keyword: generalized least squares;

5 results found.

Econometrics Paper

GLS under monotone heteroskedasticity

Yoichi Arai, Taisuke Otsu and Mengshan Xu

The generalized least square (GLS) is one of the most basic tools in regression analyses. A major issue in implementing the GLS is estimation of the conditional variance function of the error term, which typically requir...Read more...

27 October 2022

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

Nonparametric Trending Regression with Cross-Sectional Dependence

Peter M Robinson

Panel data, whose series length T is large but whose cross-section size N need not be, are assumed to have a common time trend. The time trend is of unknown form, the model includes additive, unknown, individual-specific...Read more...

January 2010

Econometrics Paper

Cointegration in Fractional Systems with Deterministic Trends

Fabrizio Iacone and Peter M Robinson

We consider a cointegrated system generated by processes that may be fractionally integrated, and by additive polynomial and generalized polynomial trends. In view of the consequent competition between stochastic and det...Read more...

May 2004

Econometrics Paper

Time Series Regression with Long Range Dependence - (Now published in 'Annals of Statistics', 25, (1997)pp.2054-2083.)

Javier Hidalgo and Peter M Robinson

A general limit theorem is established for time series regression estimates which include generalized least squares, in the presence of long range dependence in both errors and stochastic regressors. The setting and resu...Read more...

January 1997