Robustness Testing with Substitute Independent Variables: A Regression Analysis Approach

Substitute independent variables and conduct a regression analysis to test for robustness. This approach involves replacing the original independent variables with alternative measures or proxies and then re-running the regression model. By comparing the results of the original and substitute models, researchers can assess the sensitivity of the model to changes in the independent variables. This method helps to ensure that the findings of the analysis are not dependent on specific choices of variables and that the model is robust to variations in the input data.