Location-based social media data is, increasingly, an important facilitator of exploring the movement of goods and people in and between countries across the globe. Typical examples include Twitter, Facebook, Foursquare. As with all social media data outputs, the fundamental value of...

By using a prospective, nation-wide, population-based out-of-hospital cardiac arrest (OHCA) database (All-Japan Utstein Registry, January 1, 2005 to December 31, 2012), we examined the disparity in emergency medical services across Japan and found significant disparities among prefectures. By...

Textual data and analysis can derive new insights and bring valuable business insights. These insights can be further leveraged by making better future business decisions. Sources that are used for text analysis in financial industry vary from internal word documents, email to external sources...

We develop the case of two-stage least squares estimation (2SLS) in the general framework of Athey et al. (Generalized Random Forests, Annals of Statistics, Vol. 47, 2019) and provide a software implementation for R and C++. We use the method to revisit the classic application of instrumental...

We represent the dynamic relation among variables in vector autoregressive (VAR) models as directed graphs. Based on these graphs, we identify so-called strongly connected components (SCCs). Using this graphical representation, we consider the problem of variable selection. We use the relations...

This paper analyzes volatility spillovers in multivariate GARCH-type models. We show that the cross-effects between the conditional variances determine the persistence of the transmitted volatility innovations. In particular, the influence of a foreign volatility innovation on a conditional...

In this paper we compare the magnitude of local productivity advantages associated to two different spatial concentration patterns in Italy, i.e. urban areas (UA) and industrial districts (ID). UA typically display a huge concentration of population and host a wide range of economic activities,...

In this paper we provide a brief overview of some of the most recent empirical research on spatial econometric models and spatial data mining. Data mining in general is the search for hidden patterns that may exist in large databases. Spatial data mining is a process to discover interesting,...

In Brazil, the regional development policy is directed by the regional development funds for the Northeast (FNE), the North (FNO), and the Central-West (FCO), which invested more than ?36 billion in lagging regions between 2004 and 2010. This policy seeks to facilitate the economic and social...

Top distributions of income and wealth are still incompletely measured in many national statistics, particularly when using survey data. This paper develops the technique of incorporating the joint distributional relationship to enhance the estimation of these two top distributions. We leverage...