19 research outputs found

    Medical Expenditures during the Last Year of Life: Findings from the 1992–1996 Medicare Current Beneficiary Survey

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    OBJECTIVE: To compare medical expenditures for the elderly (65 years old) over the last year of life with those for nonterminal years. DATA SOURCE: From the 1992–1996 Medicare Current Beneficiary Survey (MCBS) data from about ten thousand elderly persons each year. STUDY DESIGN: Medical expenditures for the last year of life and nonterminal years by source of payment and type of care were estimated using robust covariance linear model approaches applied to MCBS data. DATA COLLECTION: The MCBS is a panel survey of a complex weighted multilevel random sample of Medicare beneficiaries. A structured questionnaire is administered at four-month intervals to collect all medical costs by payer and service. Medicare costs are validated by claims records. PRINCIPAL FINDINGS: From 1992 to 1996, mean annual medical expenditures (1996 dollars) for persons aged 65 and older were 37,581duringthelastyearoflifeversus37,581 during the last year of life versus 7,365 for nonterminal years. Mean total last-year-of-life expenditures did not differ greatly by age at death. However, non-Medicare last-year-of-life expenditures were higher and Medicare last-year-of-life expenditures were lower for those dying at older ages. Last-year-of-life expenses constituted 22 percent of all medical, 26 percent of Medicare, 18 percent of all non-Medicare expenditures, and 25 percent of Medicaid expenditures. CONCLUSIONS: While health services delivered near the end of life will continue to consume large portions of medical dollars, the portion paid by non-Medicare sources will likely rise as the population ages. Policies promoting improved allocation of resources for end-of-life care may not affect non-Medicare expenditures, which disproportionately support chronic and custodial care

    From Preferences to Experiences: Valuing the Intangible Victim Costs of Crime

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    An important part of the costs of crime are intangible victim costs; that is, the effects on individual well-being. Economists tend to value such costs by asking people what they would be willing to pay to avoid them (either in money terms or by giving up something else of value, like life expectancy). However, psychological research has shown that such preferences are not a very good guide to how various events impact on well-being. Recent developments in the measurement of well-being as it is experienced provide promising alternatives to preference-based methods and we discuss how these methods could be developed further to provide more robust estimates of intangible costs of crime
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