4 papers
Generalized Ridge Regression: Applications to Nonorthogonal Linear Regression Models
Román Salmerón Gómez, Catalina García García, Guillermo Hortal Reina
This paper analyzes the possibilities of using the generalized ridge regression to mitigate multicollinearity in a multiple linear regression model. For this purpose, we obtain the…
Stepwise regression revisited
Román Salmerón Gómez, Catalina García García
This paper shows that the degree of approximate multicollinearity in a linear regression model increases simply by including independent variables, even if these are not highly lin…
Unraveling Residualization: enhancing its application and exposing its relationship with the FWL theorem
Catalina García García, Román Salmerón Gómez, Claudia García García
The residualization procedure has been applied in many different fields to estimate models with multicollinearity. However, there exists a lack of understanding of this methodology…
Generalized Ridge Regression: Biased Estimation for Multiple Linear Regression Models
Román Salmerón Gómez, Catalina García García, Guillermo Hortal Reina
When the regressors of a econometric linear model are nonorthogonal, it is well known that their estimation by ordinary least squares can present various problems that discourage t…