1,720,987 research outputs found
Longevity and concentration in survival times: the log-scale-location family of failure time models
No full textEvidence suggests that the increasing life expectancy levels at birth witnessed over the past centuries are associated with a decreasing concentration of the survival times. The purpose of this work is to study the relationships that exist between longevity and concentration measures for some regression models for the evolution of survival. In particular, we study a family of survival models that can be used to capture the observed trends in longevity and concentration over time. The parametric family of log-scale-location models is shown to allow for modeling different trends of expected value and concentration of survival times. An extension towards mixture models is also described in order to take into account scenarios where a fraction of the population experiences short term survival. Some results are also presented for such framework. The use of both the log-scale-location family and the mixture model is illustrated through an application to period life tables from the Human Mortality Database
Reproducible materials for paper: "The Average Uneven Mortality index: Building on the "e-dagger" measure of lifespan inequality"
No full textThis repository contains the routines to replicate the analysis of the paper:
Bonetti, M., Basellini, U. and Nigri, A. (2024) The Average Uneven Mortality index: Building on the 'e-dagger' measure of lifespan inequality. Demographic Research 50(44), 1281-1300.
Available at: https://www.demographic-research.org/articles/volume/50/4
Reproducible materials for paper: "Open science practices in demographic research: an appraisal"
No full textThis repository contains the routines to partially reproduce the analysis of the paper:
Basellini, U. (2024). Open science practices in demographic research: An appraisal. Demographic Research, 50(43), 1265-1280.
Available at: https://www.demographic-research.org/articles/volume/50/43
Reproducible materials for paper: "Open science practices in demographic research: an appraisal"
No full textThis repository contains the routines to partially reproduce the analysis of the paper:
Basellini, U. (2024). Open science practices in demographic research: An appraisal. Demographic Research, 50(43), 1265-1280.
Available at: https://www.demographic-research.org/articles/volume/50/43
Open science practices in demographic research: an appraisal
No full textBACKGROUND
In the light of recent concerns about the reliability of scientific research, the open science movement has attracted considerable attention and interest from a variety of sources, including researchers, research institutions, the business sector, intergovernmental organisations, the media, and the public. However, the current extent of openness in demographic research remains unknown.
METHODS
All relevant publications in four leading journals of anglophone demography – Demography, Population and Development Review, Population Studies, and Demographic Research – over the last decade are analysed. Using a text-search algorithm, two quantitative metrics of open scientific knowledge are estimated: the share of publications that can be openly accessed, and the share of publications providing open software codes for reproducibility or replicability purposes.
RESULTS
Two contrasting patterns emerge from these indicators. Access to demographic research papers is increasingly available to everyone, with more than 90% of open-access publications in 2023. Conversely, the provision of open software codes has been and still remains considerably low, with only small signs of improvement over time. Over the last three years, on average 31% of articles in Demographic Research provided these materials and only about 12% in the other journals.
CONTRIBUTION
This reflection provides the first assessment of the adoption of some open science practices in demographic research and their evolution over the last decade. An urgent change is needed in the sharing of software codes (along with the data used, where possible) to contribute to the advancement of demographic research. Some recommendations for promoting this change are discussed
Reproducible materials for paper: "The Average Uneven Mortality index: Building on the "e-dagger" measure of lifespan inequality"
No full textThis repository contains the routines to replicate the analysis of the paper:
Bonetti, M., Basellini, U. and Nigri, A. (2024) The Average Uneven Mortality index: Building on the 'e-dagger' measure of lifespan inequality. Demographic Research 50(44), 1281-1300.
Available at: https://www.demographic-research.org/articles/volume/50/4
Reproducible material for paper: "When do mothers bury a child? Heterogeneity in maternal age at offspring loss"
No full textThis repository contains the routines to reproduce the analysis of the paper:
Alburez-Gutierrez, D., Basellini, U. and Zagheni, E. "When do mothers bury a child? Heterogeneity in maternal age at offspring loss", forthcoming in Population Studie
Smoothing, Decomposing and Forecasting Mortality Rates
No full textR-codes associated with the manuscript
Camarda and Basellini (2021)
"Smoothing, Decomposing and Forecasting Mortality Rates"
Forthcoming on European Journal of Populatio
Smoothing, Decomposing and Forecasting Mortality Rates
No full textR-codes associated with the manuscript
Camarda and Basellini (2021)
"Smoothing, Decomposing and Forecasting Mortality Rates"
Forthcoming on European Journal of Populatio
The Average Uneven Mortality index: Building on the ‘e-dagger’ measure of lifespan inequality
No full text- …
