2023
DOI: 10.1007/s40995-023-01513-8
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Improved Heteroscedasticity-Consistent Ridge Estimators for Linear Regression with Multicollinearity

Irum Sajjad Dar,
Sohail Chand
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“…Therefore, this study identifies ER and LUE as the main explanatory variables while controlling for other factors influencing ISU. Furthermore, taking the logarithm of both sides of the equation is employed to address heteroscedasticity[ 69 ] and multicollinearity issues[ 70 ]. The model is set as follows: …”
Section: Study Area Methods and Data Sourcesmentioning
confidence: 99%
“…Therefore, this study identifies ER and LUE as the main explanatory variables while controlling for other factors influencing ISU. Furthermore, taking the logarithm of both sides of the equation is employed to address heteroscedasticity[ 69 ] and multicollinearity issues[ 70 ]. The model is set as follows: …”
Section: Study Area Methods and Data Sourcesmentioning
confidence: 99%