This article develops and applies an expert-based stochastic population forecasting method, which can also be used to obtain a probabilistic version of scenario-based official forecasts. The full probability distribution of population forecasts is specified by starting from expert opinions on the future development of demographic components. Expert opinions are elicited as conditional on the realization of scenarios, in a two-step (or multiple step) fashion. The method is applied to develop a stochastic forecast for the Italian population, starting from official scenarios from the Italian National Statistical Office (Istat)
The scientific methodological and functional principles of the intelligent decision support system f...
Most users of demographic data in government and industry require population forecasts-soundly based...
The aim of the paper is to present Bayesian forecasts of immigration for seven European countries to...
This article develops and applies an expert-based stochastic population forecasting method, which ca...
The paper suggests a procedure to derive stochastic population forecasts adopting an expert-based ap...
The work reports on the whole process developed to produce expert-based stochastic forecast of the I...
Abstract This article suggests a procedure to derive stochastic population forecasts ...
We suggest a procedure for deriving expert based stochastic population forecasts within the Bayesian...
AbstractWe suggest a procedure for deriving expert based stochastic population forecasts within the ...
Since policy-makers often prefer to think in terms of alternative scenarios, the question has arisen...
The traditional method of dealing with uncertainty in population projections through high and low va...
The traditional way of dealing with uncertainty in population projections through high and low varia...
Demographic forecasts are inherently uncertain. Nevertheless, an appropriate description of this unc...
Since policy-makers often prefer to think in terms of alternative scenarios,the question has arisen ...
The article develops a stochastic model for population forecasting. The model for forecasting the ma...
The scientific methodological and functional principles of the intelligent decision support system f...
Most users of demographic data in government and industry require population forecasts-soundly based...
The aim of the paper is to present Bayesian forecasts of immigration for seven European countries to...
This article develops and applies an expert-based stochastic population forecasting method, which ca...
The paper suggests a procedure to derive stochastic population forecasts adopting an expert-based ap...
The work reports on the whole process developed to produce expert-based stochastic forecast of the I...
Abstract This article suggests a procedure to derive stochastic population forecasts ...
We suggest a procedure for deriving expert based stochastic population forecasts within the Bayesian...
AbstractWe suggest a procedure for deriving expert based stochastic population forecasts within the ...
Since policy-makers often prefer to think in terms of alternative scenarios, the question has arisen...
The traditional method of dealing with uncertainty in population projections through high and low va...
The traditional way of dealing with uncertainty in population projections through high and low varia...
Demographic forecasts are inherently uncertain. Nevertheless, an appropriate description of this unc...
Since policy-makers often prefer to think in terms of alternative scenarios,the question has arisen ...
The article develops a stochastic model for population forecasting. The model for forecasting the ma...
The scientific methodological and functional principles of the intelligent decision support system f...
Most users of demographic data in government and industry require population forecasts-soundly based...
The aim of the paper is to present Bayesian forecasts of immigration for seven European countries to...