Robustness Testing via Variable Substitution and Regression Analysis

Substitute independent variables and conduct regression analysis to assess robustness. This process involves replacing original explanatory variables with alternative measures or proxies and re-running the regression model. By observing the consistency of the results across different variable specifications, researchers can assess the robustness of their findings and ensure they are not overly reliant on specific variable choices.