Approaches to Estimating the Health State Dependence of the Utility Function by Finkelstein, Amy, Luttmer, Erzo F. P., Notowidigdo, Matthew J.

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The Sources of Life Chances: Does Education, Class Category, Occupation, or Short-Term Earnings Predict 20-Year Long-Term Earnings? by ChangHwan Kim, Christopher R. Tamborini, Arthur Sakamoto

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The Unsustainable Rise of the Disability Rolls in the United States: Causes, Consequences, and Policy Options by Autor, David

“…Two ailments limit the effectiveness and threaten the long-term viability of the U.S. Social Security Disability Insurance program (SSDI). …”
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The future of death in America by Samir Soneji, Gary King

“…For example, we estimate an increase in male life expectancy at birth from 76.2 years in 2010 to 79.9 years in 2030, which is 1.8 years greater than the U.S. Social Security Administration projection and 1.5 years more than U.S. …”
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The unsustainable rise of the disability rolls in the United States: causes, consequences and policy options by Autor, David H

“…Two ailments limit the effectiveness and threaten the long-term viability of the U.S. Social Security Disability Insurance program (SSDI). …”
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Essays on veterans disability compensation and the effects of military service by Greenberg, Kyle (Kyle Andrew)

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Essays on culture and disease by Mohanty, Aatishya

“…Using data on children’s names from the U.S. Social security administration database to construct a measure for individualism, our estimates provide strong support to the notion that individualism is positively associated with the number of COVID-19 cases across the U.S.…”
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Linking Free Text Documentation of Functioning and Disability to the ICF With Natural Language Processing by Denis Newman-Griffis, Denis Newman-Griffis, Jonathan Camacho Maldonado, Pei-Shu Ho, Maryanne Sacco, Rafael Jimenez Silva, Julia Porcino, Leighton Chan

“…Leveraging this information to improve clinical decision-making and conduct research requires natural language processing (NLP) technologies to identify and organize the information recorded in clinical documentation.Methods: We used natural language processing methods to analyze information about patient functioning recorded in two collections of clinical documents pertaining to claims for federal disability benefits from the U.S. Social Security Administration (SSA). We grounded our analysis in the International Classification of Functioning, Disability, and Health (ICF), and used the Activities and Participation domain of the ICF to classify information about functioning in three key areas: mobility, self-care, and domestic life. …”
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