ON THE EFFECTS OF THE PRESENCE AND METHODS OF THE ELIMINATION HETEROSCEDASTICITY AND AUTOCORRELATION IN THE REGRESSION MODEL

The article presents the methodological and technical bases for the creation of regression models that adequately reflect reality. The focus is on methods of removing residual autocorrelation in models. Algorithms eliminating heteroscedasticity and autocorrelation of the regression model residuals:...

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Main Authors: Nina L. Timofeeva, Artem I. Fedossev
Format: Article
Language:Russian
Published: Plekhanov Russian University of Economics 2016-08-01
Series:Статистика и экономика
Subjects:
Online Access:https://statecon.rea.ru/jour/article/view/368
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author Nina L. Timofeeva
Artem I. Fedossev
author_facet Nina L. Timofeeva
Artem I. Fedossev
author_sort Nina L. Timofeeva
collection DOAJ
description The article presents the methodological and technical bases for the creation of regression models that adequately reflect reality. The focus is on methods of removing residual autocorrelation in models. Algorithms eliminating heteroscedasticity and autocorrelation of the regression model residuals: reweighted least squares method, the method of Cochran-Orkutta are given. A model of "pure" regression is build, as well as to compare the effect on the dependent variable of the different explanatory variables when the latter are expressed in different units, a standardized form of the regression equation. The scheme of abatement techniques of heteroskedasticity and autocorrelation for the creation of regression models specific to the social and cultural sphere is developed.
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spelling doaj.art-055a64399795408a94866d793923e0fe2023-09-03T13:24:17ZrusPlekhanov Russian University of EconomicsСтатистика и экономика2500-39252016-08-010116717010.21686/2500-3925-2014-1-167-170367ON THE EFFECTS OF THE PRESENCE AND METHODS OF THE ELIMINATION HETEROSCEDASTICITY AND AUTOCORRELATION IN THE REGRESSION MODELNina L. Timofeeva0Artem I. Fedossev1МЭСИМЭСИThe article presents the methodological and technical bases for the creation of regression models that adequately reflect reality. The focus is on methods of removing residual autocorrelation in models. Algorithms eliminating heteroscedasticity and autocorrelation of the regression model residuals: reweighted least squares method, the method of Cochran-Orkutta are given. A model of "pure" regression is build, as well as to compare the effect on the dependent variable of the different explanatory variables when the latter are expressed in different units, a standardized form of the regression equation. The scheme of abatement techniques of heteroskedasticity and autocorrelation for the creation of regression models specific to the social and cultural sphere is developed.https://statecon.rea.ru/jour/article/view/368социально-культурная сферарегрессионные моделиэффективные управленческие решениягетероскедастичность моделиавтокорреляция остатков моделивзвешенный метод наименьших квадратовsocial and cultural sphereregression modelseffective management decisionsheteroscedasticity modelautocorrelation modelthe reweighted least squares method
spellingShingle Nina L. Timofeeva
Artem I. Fedossev
ON THE EFFECTS OF THE PRESENCE AND METHODS OF THE ELIMINATION HETEROSCEDASTICITY AND AUTOCORRELATION IN THE REGRESSION MODEL
Статистика и экономика
социально-культурная сфера
регрессионные модели
эффективные управленческие решения
гетероскедастичность модели
автокорреляция остатков модели
взвешенный метод наименьших квадратов
social and cultural sphere
regression models
effective management decisions
heteroscedasticity model
autocorrelation model
the reweighted least squares method
title ON THE EFFECTS OF THE PRESENCE AND METHODS OF THE ELIMINATION HETEROSCEDASTICITY AND AUTOCORRELATION IN THE REGRESSION MODEL
title_full ON THE EFFECTS OF THE PRESENCE AND METHODS OF THE ELIMINATION HETEROSCEDASTICITY AND AUTOCORRELATION IN THE REGRESSION MODEL
title_fullStr ON THE EFFECTS OF THE PRESENCE AND METHODS OF THE ELIMINATION HETEROSCEDASTICITY AND AUTOCORRELATION IN THE REGRESSION MODEL
title_full_unstemmed ON THE EFFECTS OF THE PRESENCE AND METHODS OF THE ELIMINATION HETEROSCEDASTICITY AND AUTOCORRELATION IN THE REGRESSION MODEL
title_short ON THE EFFECTS OF THE PRESENCE AND METHODS OF THE ELIMINATION HETEROSCEDASTICITY AND AUTOCORRELATION IN THE REGRESSION MODEL
title_sort on the effects of the presence and methods of the elimination heteroscedasticity and autocorrelation in the regression model
topic социально-культурная сфера
регрессионные модели
эффективные управленческие решения
гетероскедастичность модели
автокорреляция остатков модели
взвешенный метод наименьших квадратов
social and cultural sphere
regression models
effective management decisions
heteroscedasticity model
autocorrelation model
the reweighted least squares method
url https://statecon.rea.ru/jour/article/view/368
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