This paper proposes a new set of public health and long-term care expenditure projections until 2060, following up on the previous set of projections published in 2006. It disentangles health from long-term care expenditure as well as the demographic from the non-demographic drivers, and refines...

This paper proposes a comprehensive framework for projecting public heath and long-term care expenditures. Notably, it considers the impact of demographic and non-demographic effects for both health and long-term care. Compared with other studies, the paper extends the demographic drivers by...

This paper proposes a new set of public health and long-term care expenditure projections till 2060, following up on the previous set of projections published in 2006. It disentangles health from longterm care expenditure as well as the demographic from the non-demographic drivers, and refines...

This paper proposes a new set of public health and long-term care expenditure projections until 2060, seven years after a first set of projections was published by the OECD. It disentangles health from longterm care expenditure, as well as the demographic from the non-demographic drivers, and...

We use supervised machine learning to approximate the expectations typically contained in the optimality conditions of an economic model in the spirit of the parameterized expectations algorithm (PEA) with stochastic simulation. When the set of state variables is generated by a stochastic...

We compare the numerical methods that are most widely applied in the computation of the standard business cycle model with flexible labor. The numerical techniques imply economically insignificant differences with regard to business cycle summary statistics except for the volatility of...

We compare the numerical methods that are most widely applied in the computation of the standard business cycle model with flexible labor. The numerical techniques imply economically insignificant differences with regard to business cycle summary statistics except for the volatility of...

On the one hand, recently a number of theoretical models have highlighted the role of credit market frictions in propagating and amplifying macroeconomic shocks. On the other hand, it still seems an open question whether this role is quantitatively significant. Our paper tries to fill this gap....

We compare the numerical methods that are most widely applied in the computation of the standard business cycle model with flexible labor. The numerical techniques imply economically insignificant differences with regard to business cycle summary statistics except for the volatility of...

We use supervised machine learning to approximate the expectations typically contained in the optimality conditions of an economic model in the spirit of the parameterized expectations algorithm (PEA) with stochastic simulation. When the set of state variables is generated by a stochastic...