In this paper, we set up a three-period stochastic overlapping generations model to analyze the implications of income inequality and mobility for demand for redistribution and social insurance. We model the size of two different public programs under the welfare state. We investigate...

In this paper, we set up a three-period stochastic overlapping generations model to analyze the implications of income inequality and mobility for demand for redistribution and social insurance. We model the size of two different public programs under the welfare state. We investigate...

This paper develops dynamic structural models - an option value model and a dynamic programming model - of the Social Security Disability Insurance (SSDI) application timing decision. We estimate the time to application from the point at which a health condition first begins to affect the kind...

This paper analyzes the importance of policy variables in the context of Social Security Disability Insurance (SSDI) application timing decision. Previously, we explicitly modeled the optimal timing of SSDI application using dynamic structural models. We estimated these models using data from...

In this paper, we set up a three-period stochastic overlapping generations model to analyze the implications of income inequality and mobility for demand for redistribution and social insurance. We model the size of two different public programs under the welfare state. We investigate...

This paper analyzes the importance of policy variables in the context of Social Security Disability Insurance (SSDI) application timing decision. Previously, we explicitly modeled the optimal timing of SSDI application using dynamic structural models. We estimated these models using data from...

In this paper, we set up a three-period stochastic overlapping generations model to analyze the implications of income inequality and mobility for demand for redistribution and social insurance. We model the size of two different public programs under the welfare state. We investigate...