2017
DOI: 10.4054/demres.2017.37.41
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Mortality selection among adults in Brazil: The survival advantage of Air Force officers

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Cited by 10 publications
(8 citation statements)
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“…Both coverage and content data errors (Agostinho 2009; Gomes and Turra 2009; Horta 2012) preclude us from estimating unbiased mortality rates at older ages directly from deaths and census data. In Brazil, as in many other countries where data are deficient, age misreporting is probably the main reason why death rates increase slower with age than in high-quality data countries (Coale and Kisker 1986;Dechter and Preston 1991;di Lego, Turra, and Cesar 2017;Preston, Elo, and Stewart 1999;Turra 2012 As a first step, we calculated the survivorship ratios from the UN version of the Coale-Demeny (CD) Model Life Tables, which extended the original mortality levels to include life expectancy at birth up to 100 years (U.N. 2017). We decided not to choose one specific model from CD (South, North, West, and East).…”
Section: Conditional Probability Of Survivingmentioning
confidence: 99%
“…Both coverage and content data errors (Agostinho 2009; Gomes and Turra 2009; Horta 2012) preclude us from estimating unbiased mortality rates at older ages directly from deaths and census data. In Brazil, as in many other countries where data are deficient, age misreporting is probably the main reason why death rates increase slower with age than in high-quality data countries (Coale and Kisker 1986;Dechter and Preston 1991;di Lego, Turra, and Cesar 2017;Preston, Elo, and Stewart 1999;Turra 2012 As a first step, we calculated the survivorship ratios from the UN version of the Coale-Demeny (CD) Model Life Tables, which extended the original mortality levels to include life expectancy at birth up to 100 years (U.N. 2017). We decided not to choose one specific model from CD (South, North, West, and East).…”
Section: Conditional Probability Of Survivingmentioning
confidence: 99%
“…However, the country still lacks information about the precise number of people in the oldest age groups, precluding us from measuring the future consequences of population aging effectively. Moreover, as in other countries where data are deficient, age misreporting is probably the main reason why death rates increase slower with age in Brazil than in high‐quality data countries (Coale and Kisker 1986; Dechter and Preston 1991; di Lego, Turra, and Cesar 2017; Preston, Elo, and Stewart 1999; Turra 2012). By scrutinizing population census data, one can provide essential clues on the severity of mortality bias in the largest country in Latin America.…”
Section: Introductionmentioning
confidence: 99%
“…An elegant explanation of the Fine and Gray model has been published in another study [35]. While its application has mostly been in medical and epidemiological research, its application in studying population processes such as fertility, mortality, and family formation has also been increasing [36][37][38][39][40].…”
Section: Discussionmentioning
confidence: 99%