A time series model in which the signal is buried in non-Gaussian noise may throw up observations that are outliers when judged by the Gaussian yardstick. We describe an observation-driven model, based on an exponential generalized beta distribution of the second kind (EGB2), in which the signal...

We compare two EGARCH models, which belong to a new class of models in which the dynamics are driven by the score of the conditional distribution of the observations. Models of this kind are called dynamic conditional score (DCS) models and their form facilitates the development of a...

We solve two robust portfolio selection problems, where a maxmin criterion is adopted to deal with parameter uncertainty. The two models, which yield closed formulae for the optimal allocation, lend themselves to be thoroughly analyzed both from a geometric and a game-theoretic point of view.

We consider a difference-in-differences setting with a continuous outcome, such as wages or expenditure. The standard practice is to take the logarithm of the outcome and then interpret the results as an approximation of the multiplicative treatment effect on the original outcome. We argue that...

This paper examines the creation of some new provinces in Italy in the 1990s to assess whether the reduction in the size of the local jurisdiction led to benefits in terms of local development, human capital and road quality, which are three public goods provided by the Italian provinces in...