This paper presents a stochastic integrated model to forecast the German population and labour supply until 2060. Within a cohort-component approach, the population forecast applies principal components to birth, mortality, emigration and immigration rates. The labour force participation rates...

The paper derives analytical transitions probabilities following an exogenous shock to the deterministic component in the conditional logit model. The solution draws on the postestimation distribution of the model's stochastic component, identified on the basis of a direct utility maximization...

This paper introduces a simple, frequently and easily updated, close to the data epidemiological model that has been used for near-term forecast and policy analysis. We provide several practical examples of how the model has been used. We explain the epidemic development in the UK, the USA and...

We predict the portfolio of COVID-19 vaccination drivers through a large set of Machine Learning techniques for 5 European countries. Risk perceptions matter, on top of citizens’ trust anchored in how institutions have been performing to fight the pandemic before vaccine discovery. We also...

Many countries have implemented social programmes providing long-term financial or in-kind entitlements. These programmes often focus on specific age-groups and consequently their expenditure streams are subject to demographic change. Given the strains already existing on public budgets,...