We introduce a class of partial correlation network models whose network structure is determined by a random graph. In particular in this work we focus on a version of the model in which the random graph has a power-law ...

In this paper we estimate the impact of higher early preschool access on offending behavior later in time, exploiting a nationwide public preschool expansion that took place in Spain over the 1990s. This is the first study ...

This paper studies two key aspects of the introduction of private management in the Colombian electricity generation industry: (1) It quantifies the impact of changes to private management on bidding prices; (2) Verifies ...

We study the relationship between pro-social preferences and strategic reasoning. These aspects are typically studied separately but little is known about their joint distribution. In an experiment, for each participant ...

We propose a novel specification of the Dynamic Conditional Correlation (DCC) model based on an alternative normalization of the pseudo-correlation matrix called Projected DCC (Pro-DCC). Our modification consists in ...

La evaluación económica de tecnologías sanitarias se ha convertido en los últimos años en Europa en una herramienta de primer orden para los gestores sanitarios en sus estrategias de asignación de recursos sanitarios y de ...

Providing information for decision making should be like telling a story. You need to know, first, what you want to say; second, whom you are addressing; and third, how to match the message and audience. However, data ...

Complexity, resulting from interactions among many components, is a characterizing feature of healthcare systems and related decisions. It scales up in the face of pandemics that give rise to multiple sources of uncertainty ...

A rapidly growing literature uses quantitative general equilibrium models of economic geography to study the economic impact of historical events such as the railroad revolution, industrial take-off, structural transformation ...