04062nam 2200625 a 450 991014569100332120200520144314.01-281-25087-297866112508743-540-78520-510.1007/978-3-540-78520-0(CKB)1000000000415237(EBL)371998(OCoLC)261325411(SSID)ssj0000173503(PQKBManifestationID)11172628(PQKBTitleCode)TC0000173503(PQKBWorkID)10164606(PQKB)10740074(DE-He213)978-3-540-78520-0(MiAaPQ)EBC371998(PPN)123745985(EXLCZ)99100000000041523720081031d2008 uy 0engur|n|---|||||txtccrHow long do we live? demographic models and reflections on tempo effects /Elisabetta Barbi, John Bongaarts, James W. Vaupel, editors1st ed. 2008.[New York?] Springer20081 online resource (291 p.)Demographic research monographs,1613-5520Description based upon print version of record.3-642-09727-8 3-540-78519-1 Includes bibliographical references.How long do we live? Demographic models and reflections on tempo effects: An introduction -- How long do we live? Demographic models and reflections on tempo effects: An introduction -- Theoretical basis for the mortality tempo effect -- Estimating mean lifetime -- The quantum and tempo of life-cycle events -- Critiques, extensions and applications of the mortality tempo effect -- Demographic translation and tempo effects: An accelerated failure time perspective -- Lifesaving, lifetimes and lifetables -- Tempo and its tribulations -- Tempo effects in mortality: An appraisal -- Increments to life and mortality tempo -- Mortality tempo versus removal of causes of mortality: Opposite views leading to different estimations of life expectancy -- Tempo effect on age-specific death rates -- Mortality tempo-adjustment: Theoretical considerations and an empirical application -- Comparison of period and cohort measures of longevity -- Five period measures of longevity -- Found in translation? A cohort perspective on tempo-adjusted life expectancy -- Conclusions -- Afterthoughts on the mortality tempo effect -- Turbulence in lifetables: Demonstration by four simple examples.The most widely used measure of longevity is the period life expectancy at birth which is calculated from age specific death rates by life table methods. In 2002, John Bongaarts and Griffith Feeney introduced the revolutionary idea that this conventional estimate of period life expectancy is distorted by a tempo effect whenever longevity is changing. The tempo effect is defined as an inflation or deflation of the period incidence of a demographic event resulting from a rise or fall in the mean age at which the event occurs. Some demographers agree with this radical argument; others disagree. The book reviews the debate on how best to measure period longevity. In the various chapters, leading experts in demography critically examine the existence of the tempo effect in mortality, present extensions and applications, and compare period and cohort longevity measures. The book provides a deeper understanding of and new insights into the fundamental question "How long do we live"?Demographic research monographs.Life expectancyMathematical modelsLife expectancyMathematical models.304.6304.645015195Barbi Elisabetta896201Bongaarts John1945-1149827Vaupel James W107134MiAaPQMiAaPQMiAaPQBOOK9910145691003321How long do we live4202866UNINA