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来源类型 | Publication |
The Political Economy of the Disability Insurance: Theory and Evidence of Gubernatorial Learning | |
Radha Iyengar; Giovanni Mastrobuoni | |
发表日期 | 2014-07-21 |
出版者 | IZA Journal of Labor Policy, vol. 3, no. 16, edited by Gina Livermore, David Neumark, and David Wittenburg |
出版年 | 2014 |
语种 | 英语 |
概述 | The dramatic rise in the disability insurance (DI) rolls in the last 20 years has been the subject of much controversy.", |
摘要 | The dramatic rise in the disability insurance (DI) rolls in the last 20 years has been the subject of much controversy. While the relationship between DI and labor force participation has been the subject of a growing literature, the mechanism of this transition from employment to DI remains unclear. We hypothesize that one mechanism is the state-level administration of the program which creates a classic principal-agent problem. We analyze the conflict of interests for Disability Determination Services agencies between Social Security Administration (SSA) standards and state gubernatorial political interests interacted with the increased demand for disability insurance as an alternative for low-skilled employment during the period of 1982 to 2013. We find evidence that multi-term governors allow a greater fraction of applicants than do first-term governors, but only up to year 2000, when allowance rates started to decrease over time. We develop a model that illustrates how these differences can be due to the type of monitoring conducted by the SSA. We provide additional evidence supporting this hypothesis analyzing how the effects interact with economic and political constraints. |
URL | https://www.mathematica.org/our-publications-and-findings/publications/the-political-economy-of-the-disability-insurance-theory-and-evidence-of-gubernatorial-learning |
来源智库 | Mathematica Policy Research (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/487781 |
推荐引用方式 GB/T 7714 | Radha Iyengar,Giovanni Mastrobuoni. The Political Economy of the Disability Insurance: Theory and Evidence of Gubernatorial Learning. 2014. |
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