Overcoming the Conditional Independence Assumption in matching income, consumption and wealth
In view of the lack of harmonised EU statistics covering the distributional aspects of households' income, consumption and wealth in a single data set, an alternative commonly used to estimate that joint distribution is statistical matching. A main problem in statistical matching is that the relationship between income, consumption and wealth can be estimated only indirectly, relying on a strong assumption: the Conditional Independence Assumption (CIA), which might not hold and it is difficult to test. This work presents the tools to overcome the CIA, making it a justifiable hypothesis and testing it with the help of auxiliary information.