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...

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,...

Predicting worker's effort is important in many different areas, but is often difficult. Using a laboratory experiment, we test the hypothesis that confidence, i.e. the person-specific beliefs about her abilities, can be used as a generic proxy to predict future effort provision. We measure...

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...

A fundamental assumption of expected utility models is that agents make predictions by formulating rational expectations. Building on this assumption, the literature has addressed to what extent rational choice or behaviorally informed utility models best describe intertemporal substitution of...

We examine the impact of Articial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers' productivity by shortening the...