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Contrary to common perception, both qualitative & quantitative data suggest that questions in mortality #surveys rarely trigger emotional distress among respondents. Therefore, they should be approached in the same way as any other survey question. #RaMMPS https://t.co/jg8HPAqHn3

Innovative methods to measure #mortality beyond age 50 in LMICs are needed. This study evaluates the potential of parental #survival histories, in which respondents provide data on their parents’ ages, and if deceased, their age at death and date of death. https://t.co/9CUqHbItWN

This paper by Everton Lima et al. proposes an alternative for estimating #mortality for small areas in countries with limited data. The estimates show how data quality and adult mortality are evolving over time and are related to #socioeconomic factors. https://t.co/qpLZCwF1ge

“The cubic parameterization can simplify the representation of age curves of fertility rates while capturing their essential features.“ Read more in Bob Schoen’s paper here: https://t.co/riJu9slJ98

The big genealogical database #FamiLinx, which contains extensive demographic and #kinship information, offers much promise for demographic research but careful sample #selection is necessary. https://t.co/c2abkK5nUN @MPIDRnews @ErcGenpop @andre_colasurdo @OmentiRiccardo

😳And here is the proper link to the call for papers: https://t.co/1nye93BcAd

🎯 Call for Papers extended! Guest editors of SC on Family Resilience, Child/Youth Well-Being & Global Socioeconomic Crises are inviting contributions for review. New Deadline: January 15, 2025 ore information: https://t.co/Rr4mcVU6AP Share widely & submit, submit, submit!!

The historical fertility transition began with stopping, and then involved both stopping and spacing, with similar patterns across social classes. Evidence from applying cure models to microdata from Southern Sweden. @edoardoredivo https://t.co/DCAHhP1NZs

Chance outcomes of #survival and #reproduction create differences among individuals in the number and ages of their kin. These differences can now be calculated with a new formal demographic model of #kinship networks. https://t.co/YFtJ66Edn3

General population household survey findings conducted in multiple countries in Africa between 2015–2019 indicate households where PLWH resided experienced excess mortality relative to other households. @ICAP_ColumbiaU 📰 https://t.co/VZBznLNPae

Death is arguably the most important event in our lives, but ironically, it is very difficult to measure. In this paper we try to investigate if mobile phone surveys can help us overcome this challenge in 25 low and middle income countries. Tldr: there is a potential for

Using data from 25 Demographic and Health Surveys, this study advances our understanding of sample selection bias in mobile phone survey estimates of demographic indicators ➡️ https://t.co/LVl1CyilpD

‘Childlessness in the UK remains positively correlated with educational attainment. #Fertility levels vary across the UK's countries not only due to #childlessness but also because of differences in #family size’. https://t.co/TEiTV5c6ev

Interracial couples are more likely than same-race White couples, but less likely than same-race minority couples, to live with parents. #Interracial_couples with minority wives are more likely to live with parents than those with White wives. #coresidence https://t.co/cp0NAkYAoL

Are parents’ social disadvantages becoming more concentrated over time? The findings suggest that single motherhood increased disproportionally among less-educated women. https://t.co/P4HXGUlWQi

Explore the shift from young to middle-age mortality in Italy! The authors’ Bayesian model shows the changing landscape of age at death. #MortalityTrends #PopulationHealth. https://t.co/wDj9U3yZgL

Analyses using DHS data (2000–2020) show a steady decline in the proportion of young children living in polygynous households in SSA, though the pace of decline is smaller than concurrent shifts in the prevalence of polygynous unions. https://t.co/UBC0Nr062h

“This study extends the effect of migration duration and education on the rise of young one-person households in China. The clear prevalence of one-person households should be considered an indicator of the SDT.” https://t.co/RWKxH3nECy

.@tabeanaujoks explores how couples' educational differences shape housework & childcare reporting gaps during the transition to #parenthood. Homogamous couples with tertiary degrees have the lowest predicted probability of a reporting gap. https://t.co/aRXWfsx3uW