4 edition of Explaining diversities in age-specific life expectancies and values of life saving found in the catalog.
Explaining diversities in age-specific life expectancies and values of life saving
|Statement||Isaac Ehrlich, Yong Yin.|
|Series||NBER working paper series ;, working paper 10759, Working paper series (National Bureau of Economic Research : Online) ;, working paper no. 10759.|
|Contributions||Yin, Yong., National Bureau of Economic Research.|
|The Physical Object|
|LC Control Number||2005615505|
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A NEW CRITERION FOR DEATH Advances in medical science have complicated the definition of death. Life-saving measures such as cardiopulmonary resuscitation or defibrillation (electrical shock) can restart cardiac activity. The development of the mechanical respirator in the s also prompted a change in the concept of death. (Information on race prior to used the category “non-White.”) Life expectancies (additional years of life) for year-olds were years for Black men and 18 years for Black women—2 and 1½ years less than the comparable life expectancies at 65 years of age for White men and White women, respectively.
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Machine-readable bibliographic record - MARC, RIS, BibTeX Document Object Identifier (DOI): /w Published: Ehrlich, Isaac and Yong Yin. "Explaining Diversities In Age-Specific Life Expectancies And Values Of Life Saving: A Numerical Analysis," Journal of Risk and Uncertainty,v31(2,Sep), citation courtesy of.
To what extent can life protection account for observed diversities in age-specific life expectancies across individuals and over time.
We provide answers via calibrated simulations of a life-cycle model where life’s end is stochastic, and age-specific mortality hazards are endogenous outcomes of life protection, set jointly with life insurance and by: Isaac Ehrlich & Yong Yin, "Explaining Diversities in Age-Specific Life Expectancies and Values of Life Saving: A Numerical Analysis," NBER Working PapersNational Bureau of Economic Research, Inc.
Isaac Ehrlich & Yong Yin, "Explaining Diversities in Age-Specific Life Expectancies and Values of Life Saving: A Numerical Analysis," Journal of Risk and Uncertainty, Springer, vol. 31(2), pagesSeptember.
Get this from a library. Explaining diversities in age-specific life expectancies and values of life saving: a numerical analysis. [Isaac Ehrlich; Yong Yin; National Bureau of Economic Research.].
Get this from a library. Explaining Diversities in Age-Specific Life Expectancies and Values of Life Saving: A Numerical Analysis. [Isaac Ehrlich; Yong Yin] -- Little attempt has been made so far to quantify the extent to which individual willingness to spend on life protection may account for the observed trends and diversities in agespecific life.
Explaining Diversities in Age-Specific Life Expectancies and Values of Life Saving: A Numerical Analysis Article in Journal of Risk and Uncertainty 31(2) February with 24 Reads.
“Explaining Diversities in Age-Specific Life Expectancies and Values of Life Saving: A Numerical Analysis”, with Yong Yin, Journal of Risk and Uncertainty, Springer, vol. 31(2)Title(s): Explaining diversities in age-specific life expectancies and values of life saving: a numerical analysis/ Isaac Ehrlich, Yong Yin.
Country of Publication: United States Publisher: Cambridge, MA: National Bureau of Economic Research, c Explaining Diversities in Age-Specific Life Expectancies and Values of Life Saving: A Numerical Analysis Journal of Risk and Uncertainty, Vol.
31, No. 2 Socio-economically sustainable civil engineering infrastructures by optimizationCited by: Explaining diversities in age-specific life expectancies and values of life saving. Cambridge, Mass.: National Bureau of Economic Research.
Fraser, S. and Matthews, S. Life-Cycle Consumption and the Age-Adjusted Value of Life Article in Contributions in Economic Analysis & Policy 5(1) February with 32 Reads How we measure 'reads'.
Explaining Diversities in Age-Specific Life Expectancies and Values of Life Saving: A Numerical Analysis Isaac Ehrlich and Yong Yin # (HE) Patent Licensing and the Research University Richard A.
Jensen and Marie C. Thursby # (ITI) Socioeconomic Status and Medical Care Expenditures in Medicare Managed Care. 1 Introduction. Deutsch () defines life care planning (in part) as, “a consistent methodology for analyzing all of the needs dictated by the onset of a catastrophic disabilitythrough to the end of life expectancy.” Using life expectancy in this way, as an indication of when life will actually end, or in any event when we might assume life will end for planning purposes, is common in Cited by: 2.
Equation 3. Thus, for any series of l s (x) values defining a standard life table, another series l(x) can be obtained for each pair of α and β values. (Note that, at the endpoints of the age range, Equation 3 cannot be used to calculate l(x); l(0) and l(ω) should be set to 1 and to 0, respectively).
Equation 3 can be used to generate families of model life tables from an. The table contains “cohort” life expectancies and may not be directly compared to standard “current” life expectancies as published in Vital Statistics publications; see Section for the definition.
The income points correspond to the first quartile, median, and third quartile. Continuing improvements in high life expectancies have made it imperious to develop measures of population health such as active life expectancy (ALE), disability-adjusted life expectancy (DALY) and qualityadjusted life years (QALY) (98) which are apt to track the health status of a population without relying on mortality data alone.
The Review aims at publishing a selection of reports and disseminating results of original research, theoretical and empirical issues, book reviews, or.
Individual life cycles and family cycles. A comparison of perspectives* JO:EL M. HALPERN This paper seeks to relate changing individual life cycles to changing cycles offamily development. My data refer specifically to Yugoslavia (although it is hoped that some of the points made will have more general applica bility).
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): “The psychosocial adaptation which is acculturation involves more than becoming knowledgeable of the language, norms, and values of the new culture; it can be a fundamental change which includes relearning the meaning of.Income inequality is a major factor in shaping health, life expectancies, higher levels of destructive behavior from drinking and smoking to violence, psychosocial stress caused by feelings of insecurity resulting in higher rates of disease such as diabetes, and lower levels of social capital because people don’t trust each other (Wilkinson.The State of the World’s Cities / charts the progress and the challenges we face in this rapidly urbanising world.
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