In this paper I investigate the role of an increasingly demanded class of green services, characterised by having strong roots in local communities, high human labour intensity, flat labour productivity growth and a low impact on the environment. In order to do so, I build an endogenous growth...

This paper contributes to the literature on the impact of immigrants on native female labour supply. By segmenting the market by educational levels, we are able to investigate which native-born women are more affected by an increase of low-skilled immigrants working in the household service...

The measurement of the quality of academic research is a rather controversial issue. Recently Hirsch has proposed a measure that has the advantage of summarizing in a single summary statistics all the information that is contained in the citation counts of each scientist. From that seminal...

The performance of predictions models can be assessed using a variety of methods and metrics. Several new measures have recently been proposed that can be seen as refinements of discrimination measures, including variants of the AUC (Area Under the ROC curve), such as the H index. It is widely...

In this contribution we aim at improving ordinal variable selection in the context of causal models. In this regard, we propose an approach that provides a formal inferential tool to compare the explanatory power of each covariate, and, therefore, to select an effective model for classification...

We investigate competition for FDI within a region when a foreign multinational firm can profitably exploit differences in statutory corporate tax rates by shifting taxable profits to lower-tax jurisdictions. In such framework we show that targeted tax competition may lead to higher welfare for...

In this paper, we propose a novel Independent Factor Autoregressive Conditional Density (IFACD) model able to generate time-varying higher moments using an independent factor setup. Our proposed framework incorporates dynamic estimation of higher comovements and feasible portfolio representation...

Operational risk is hard to quantify, for the presence of heavy tailed loss distributions. Extreme value distributions, used in this context, are very sensitive to the data, and this is a problem in the presence of rare loss data. Self risk assessment questionnaires, if properly modelled, may...

This paper studies the effects generated by limited asset market participation under different fiscal and monetary policy games. We find that the distributional conflict due to limited asset market participation rises the inflation bias when the two authorities are independent and play...

We study information sharing in a Cournot duopoly with isoelastic demand function, when the elasticity is uncertain. This is one of the first attempts to analyze the role of nonlinearity in such a framework. We found important results about the profitability of sharing informations when marginal...