This paper explores the feasibility to extend the Standard Cost Model (SCM) for calculating the costs of government regulation by taking all transaction costs into account which stem from the principal/agent relationship between regulatory authorities and economic entities. From that perspective...

We study a two-stage R&D project with an abandonment option. Two types of uncertainty influence the decision to start R&D. Demand uncertainty is modelled as a lottery between a proportional increase and decrease in demand. Technical uncertainty is modelled as a lottery between a decrease and...

This paper examines monetary policy implementation in a sticky price model. The central bank's plan under discretionary optimization is entirely forward-looking and exhibits multiple equilibrium solutions if transactions frictions are not negligibly small. The central bank can then implement...

We present an accurate and efficient method for Bayesian forecasting of two financial risk measures, Value-at-Risk and Expected Shortfall, for a given volatility model. We obtain precise forecasts of the tail of the distribution of returns not only for the 10-days-ahead horizon required by the...

We study welfare effects of public short-time compensation (STC) in a model in which firms respond to idiosyncratic profitability shocks by adjusting employment and hours per worker. Introducing STC substantially improves welfare by mitigating distortions caused by public unemployment insurance...

Most airports operate under public ownership, while some are privatized and economically regulated. Only a few airports are privately owned and experience little or no ex-ante regulation of airport charges. On the other hand, airports nowadays earn as much revenue from transport-related...

We prove identification of dependent competing risks models in which each risk has a mixed proportional hazard specification with regressors, and the risks are dependent by way of the unobserved heterogeneity, or frailty, components. We show that the conditions for non-parametric identification...