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Life cycle general equilibrium models with heterogeneous agents have a very hard time reproducing the American wealth distribution. A common assumption made in this literature is that all young adults enter the economy with no initial assets. In this article, we relax this assumption -not supported by the data -and evaluate the ability of an otherwise standard life cycle model to account for the U.S. wealth inequality. The new feature of the model is that agents enter the economy with assets drawn from an initial distribution of assets, which is estimated using a non-parametric method applied to data from the Survey of Consumer Finances.We found that heterogeneity with respect to initial wealth is key for this class of models to replicate the data. According to our results, American inequality can be explained almost entirely by the fact that some individuals are lucky enough to be born into wealth, while others are born with few or no assets. * We would like to thank Carlos E. da Costa, Todd Schoellman, Cezar Santos, Felipe Iachan, and Romeu Gomes Filho for their comments. Ferreira acknowledges the financial support of CNPq/INCT and FAPERJ; Gomes, the financial support of CAPES.

This article investigates the impact on the U.S. economy of making health care more affordable. We compare health care cost reductions with the Patient Protection and Affordable Care Act (PPACA) using a rich life cycle general equilibrium model with heterogeneous agents. We found that all policies were able to reduce uninsured population, but the PPACA was the most effective: in the long run, less than 5% of Americans would remain uninsured. Cost reductions alleviated the government budget, while tax hikes were needed to finance the reform. Feasible cost reductions are less welfare improving than the PPACA.

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