Policy makers have two concerns when designing reforms: avoid counterproductive feedback effects and avoid negative impacts on groups of households. Applied economists have quantitative tools to detect and measure each of these unwanted outcomes separately, but seldom together. We investigate the potential for making policy evaluation which deals with the two challenges at the same time, enriching an overlapping-generations model with theoretical components from heterogeneous agents theories under incomplete markets.