Rebecca Graziani
Biographic Data
| ID | 6045232 |
|---|---|
| NAME | Rebecca Graziani |
| GIVEN NAMES | Rebecca |
| FAMILY NAME | Graziani |
| SIGNATURE | GRAZIANI R |
| AFFILIATIONS | Biogen (Italy) |
| ORCID | 0000-0001-7564-4394 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Age-period-cohort analysis of U.S. fertility
A key question for the explanation of fertility trends in advanced societies is whether, in addition to age, period- rather than cohort-related factors matter. In this paper, we analyze a standard set of age-specific fertility rates – from the Human Fertility Database – on the United States between 1933 and 2015. More specifically, we describe and apply an Age-Period-Cohort (APC) modeling approach that relies on second differences as identifiable…
Stochastic Population Forecasting Based on Combinations of Expert Evaluations Within the Bayesian Paradigm
This article suggests a procedure to derive stochastic population forecasts adopting an expert-based approach. As in previous work by Billari et al. (2012), experts are required to provide evaluations, in the form of conditional and unconditional scenarios, on summary indicators of the demographic components determining the population evolution: that is, fertility, mortality, and migration. Here, two main purposes are pursued. First, the demograp…
Stochastic Population Forecasting Based on Combinations of Expert Evaluations Within the Bayesian Paradigm
This article suggests a procedure to derive stochastic population forecasts adopting an expert-based approach. As in previous work by Billari et al. (2012), experts are required to provide evaluations, in the form of conditional and unconditional scenarios, on summary indicators of the demographic components determining the population evolution: that is, fertility, mortality, and migration. Here, two main purposes are pursued. First, the demograp…
Stochastic Population Forecasting Based on Combinations of Expert Evaluations Within the Bayesian Paradigm
This article suggests a procedure to derive stochastic population forecasts adopting an expert-based approach. As in previous work by Billari et al. (2012), experts are required to provide evaluations, in the form of conditional and unconditional scenarios, on summary indicators of the demographic components determining the population evolution: that is, fertility, mortality, and migration. Here, two main purposes are pursued. First, the demograp…
Age-period-cohort analysis of U.S. fertility
A key question for the explanation of fertility trends in advanced societies is whether, in addition to age, period- rather than cohort-related factors matter. In this paper, we analyze a standard set of age-specific fertility rates – from the Human Fertility Database – on the United States between 1933 and 2015. More specifically, we describe and apply an Age-Period-Cohort (APC) modeling approach that relies on second differences as identifiable…
Demography (2 works) · Global Health Care Issues (2 works) · Insurance, Mortality, Demography, Risk Management (2 works) · Mathematics (2 works) · Population (2 works) · Sociology (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian probability (1 work) · Birth, Development, and Health (1 work)