LEADER 04062nam 2200625 a 450 001 9910145691003321 005 20200520144314.0 010 $a1-281-25087-2 010 $a9786611250874 010 $a3-540-78520-5 024 7 $a10.1007/978-3-540-78520-0 035 $a(CKB)1000000000415237 035 $a(EBL)371998 035 $a(OCoLC)261325411 035 $a(SSID)ssj0000173503 035 $a(PQKBManifestationID)11172628 035 $a(PQKBTitleCode)TC0000173503 035 $a(PQKBWorkID)10164606 035 $a(PQKB)10740074 035 $a(DE-He213)978-3-540-78520-0 035 $a(MiAaPQ)EBC371998 035 $a(PPN)123745985 035 $a(EXLCZ)991000000000415237 100 $a20081031d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHow long do we live? $edemographic models and reflections on tempo effects /$fElisabetta Barbi, John Bongaarts, James W. Vaupel, editors 205 $a1st ed. 2008. 210 $a[New York?] $cSpringer$d2008 215 $a1 online resource (291 p.) 225 1 $aDemographic research monographs,$x1613-5520 300 $aDescription based upon print version of record. 311 $a3-642-09727-8 311 $a3-540-78519-1 320 $aIncludes bibliographical references. 327 $aHow 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. 330 $aThe most widely used measure of longevity is the period life expectancy at birth which is calculated from age specific death rates by life table methods. In 2002, John Bongaarts and Griffith Feeney introduced the revolutionary idea that this conventional estimate of period life expectancy is distorted by a tempo effect whenever longevity is changing. The tempo effect is defined as an inflation or deflation of the period incidence of a demographic event resulting from a rise or fall in the mean age at which the event occurs. Some demographers agree with this radical argument; others disagree. The book reviews the debate on how best to measure period longevity. In the various chapters, leading experts in demography critically examine the existence of the tempo effect in mortality, present extensions and applications, and compare period and cohort longevity measures. The book provides a deeper understanding of and new insights into the fundamental question "How long do we live"? 410 0$aDemographic research monographs. 606 $aLife expectancy$xMathematical models 615 0$aLife expectancy$xMathematical models. 676 $a304.6 676 $a304.645015195 701 $aBarbi$b Elisabetta$0896201 701 $aBongaarts$b John$f1945-$01149827 701 $aVaupel$b James W$0107134 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910145691003321 996 $aHow long do we live$94202866 997 $aUNINA