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Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Optimal Taxation And Debt With Uninsurable Risks To Human Capital Accumulation, Piero Gottardi, Atsushi Kajii, Tomoyuki Nakajima
Optimal Taxation And Debt With Uninsurable Risks To Human Capital Accumulation, Piero Gottardi, Atsushi Kajii, Tomoyuki Nakajima
Research Collection School Of Economics
We consider an economy where individuals face uninsurable risks to their human capital accumulation and analyze the optimal level of linear taxes on capital and labor income together with the optimal path of government debt. We show that in the presence of such risks, it is beneficial to tax both labor and capital and to issue public debt. We also assess the quantitative importance of these findings, and show that the benefits of government debt and capital taxes both increase with the magnitude of idiosyncratic risks and the degree of relative risk aversion.
Insurance In Extended Family Networks, Orazio P. Attanasio, Costas Meghir, Corina Mommaerts
Insurance In Extended Family Networks, Orazio P. Attanasio, Costas Meghir, Corina Mommaerts
Cowles Foundation Discussion Papers
We investigate partial insurance and group risk sharing in extended family networks. Our approach is based on decomposing income shocks into group aggregate and idiosyncratic components, allowing us to measure the extent to which each component is insured. We apply our framework to extended family networks in the United States by exploiting the unique intergenerational structure of the Panel Study of Income Dynamics. We find that over 60% of shocks to household income are potentially insurable within extended family networks. However, we find little evidence that the extended family provides insurance for such idiosyncratic shocks.
Insurance In Extended Family Networks, Orazio P. Attanasio, Costas Meghir, Corina Mommaerts
Insurance In Extended Family Networks, Orazio P. Attanasio, Costas Meghir, Corina Mommaerts
Cowles Foundation Discussion Papers
We investigate partial insurance and group risk sharing in extended family networks. Our approach is based on decomposing income shocks into group aggregate and idiosyncratic components, allowing us to measure the extent to which each is insured, having accounted for public insurance programs. We apply our framework to extended family networks in the United States by exploiting the unique intergenerational structure of the PSID. We find that over 60% of shocks to household income are potentially insurable within family networks. However, we find little evidence that the extended family provides insurance for such idiosyncratic shocks.