2021
DOI: 10.31181/dmame2104001d
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Violation of the assumption of homoscedasticity and detection of heteroscedasticity

Abstract: In this paper, it is assumed that there is a violation of homoskedasticity in a certain classical linear regression model, and we have checked this with certain methods. Model refers to the dependence of savings on income. Proof of the hypothesis was performed by data simulation. The aim of this paper is to develop a methodology for testing a certain model for the presence of heteroskedasticity. We used the graphical method in combination with 4 tests (Goldfeld-Quantum, Glejser, White and Breusch-Pagan). The m… Show more

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Cited by 6 publications
(2 citation statements)
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“…Then, we employ stepwise AIC selection to identify the final subset of predictors, obtained in the best performing specification (Yamashita et al 2007). We checked the adequacy of the resulting models by investigating potential violations of regression modelling assumptions (Poole andO'Farrell 1971, Dalic andTerzic 2021). The F-test was used to assess the overall statistical significance of the relationship (with p-value 0.05).…”
Section: Regression Modelmentioning
confidence: 99%
“…Then, we employ stepwise AIC selection to identify the final subset of predictors, obtained in the best performing specification (Yamashita et al 2007). We checked the adequacy of the resulting models by investigating potential violations of regression modelling assumptions (Poole andO'Farrell 1971, Dalic andTerzic 2021). The F-test was used to assess the overall statistical significance of the relationship (with p-value 0.05).…”
Section: Regression Modelmentioning
confidence: 99%
“…The heteroscedasticity test determines if the regression model is based on unequal variance between the residuals. The true nature of heteroscedasticity is usually unknown, so the choice of the appropriate test depends on the nature of the data [9]. The author used the glejser test to figure out whether or not the heteroscedasticity is appeared in this regression model.…”
Section:  Heteroscedasticity Testmentioning
confidence: 99%